From 98ca81ecda72a97e71a53da97b5341e062af44d7 Mon Sep 17 00:00:00 2001 From: ryuta-yoshimatsu Date: Sun, 2 Feb 2025 06:43:24 +0000 Subject: [PATCH] streamline-examples-notebooks --- README.md | 24 ++--- examples/{ => daily}/foundation_daily.py | 12 ++- examples/{ => daily}/global_daily.py | 12 +-- .../{ => daily}/local_univariate_daily.py | 6 +- .../foundation_external_regressors_daily.py | 12 +-- .../global_external_regressors_daily.py | 10 +- ...al_univariate_external_regressors_daily.py | 8 +- examples/{ => hourly}/foundation_hourly.py | 10 +- examples/{ => hourly}/global_hourly.py | 10 +- .../{ => hourly}/local_univariate_hourly.py | 10 +- .../data_preparation_m5.py | 0 .../foundation_daily_m5.py | 2 +- .../{m5-examples => m5}/global_daily_m5.py | 12 ++- ...64.0124-101655-9l2fggt9-10-0-1-10.175511.0 | Bin 0 -> 4679 bytes .../m5/lightning_logs/version_0/hparams.yaml | 68 +++++++++++++ ...78.0124-101655-9l2fggt9-10-0-1-10.178134.0 | Bin 0 -> 4679 bytes 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...3.0124-101655-9l2fggt9-10-0-13-137.67312.2 | Bin 0 -> 2078 bytes .../m5/lightning_logs/version_95/hparams.yaml | 84 ++++++++++++++++ ...5.0124-101655-9l2fggt9-10-0-13-137.67312.3 | Bin 0 -> 2078 bytes .../m5/lightning_logs/version_96/hparams.yaml | 84 ++++++++++++++++ ...6.0124-101655-9l2fggt9-10-0-13-137.67312.4 | Bin 0 -> 2078 bytes .../m5/lightning_logs/version_97/hparams.yaml | 84 ++++++++++++++++ ...7.0124-101655-9l2fggt9-10-0-13-137.67312.5 | Bin 0 -> 2078 bytes .../m5/lightning_logs/version_98/hparams.yaml | 84 ++++++++++++++++ ...8.0124-101655-9l2fggt9-10-0-13-137.67312.6 | Bin 0 -> 2078 bytes .../m5/lightning_logs/version_99/hparams.yaml | 84 ++++++++++++++++ .../local_univariate_daily_m5.py | 14 +-- examples/{m5-examples => m5}/run_daily_m5.py | 0 examples/{ => monthly}/foundation_monthly.py | 10 +- examples/{ => monthly}/global_monthly.py | 8 +- .../{ => monthly}/local_univariate_monthly.py | 6 +- examples/{ => weekly}/foundation_weekly.py | 12 +-- examples/{ => weekly}/global_weekly.py | 12 +-- .../{ => weekly}/local_univariate_weekly.py | 6 +- 359 files changed, 13179 insertions(+), 95 deletions(-) rename examples/{ => daily}/foundation_daily.py (87%) rename examples/{ => daily}/global_daily.py (92%) rename examples/{ => daily}/local_univariate_daily.py (96%) rename examples/{ => external_regressors}/foundation_external_regressors_daily.py (92%) rename examples/{ => external_regressors}/global_external_regressors_daily.py (91%) rename examples/{ => external_regressors}/local_univariate_external_regressors_daily.py (95%) rename examples/{ => hourly}/foundation_hourly.py (92%) rename examples/{ => hourly}/global_hourly.py (92%) rename examples/{ => hourly}/local_univariate_hourly.py (95%) rename examples/{m5-examples => m5}/data_preparation_m5.py (100%) rename examples/{m5-examples => m5}/foundation_daily_m5.py (96%) rename examples/{m5-examples => m5}/global_daily_m5.py (87%) create mode 100644 examples/m5/lightning_logs/version_0/events.out.tfevents.1717939364.0124-101655-9l2fggt9-10-0-1-10.175511.0 create mode 100644 examples/m5/lightning_logs/version_0/hparams.yaml create mode 100644 examples/m5/lightning_logs/version_1/events.out.tfevents.1717939378.0124-101655-9l2fggt9-10-0-1-10.178134.0 create mode 100644 examples/m5/lightning_logs/version_1/hparams.yaml create mode 100644 examples/m5/lightning_logs/version_10/events.out.tfevents.1717939529.0124-101655-9l2fggt9-10-0-1-10.175081.8 create mode 100644 examples/m5/lightning_logs/version_10/hparams.yaml create mode 100644 examples/m5/lightning_logs/version_100/events.out.tfevents.1736841350.0124-101655-9l2fggt9-10-0-13-137.67312.7 create mode 100644 examples/m5/lightning_logs/version_100/hparams.yaml create mode 100644 examples/m5/lightning_logs/version_101/events.out.tfevents.1736841351.0124-101655-9l2fggt9-10-0-13-137.67312.8 create mode 100644 examples/m5/lightning_logs/version_101/hparams.yaml create mode 100644 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mode 100644 examples/m5/lightning_logs/version_111/events.out.tfevents.1736841540.0124-101655-9l2fggt9-10-0-13-137.88031.5 create mode 100644 examples/m5/lightning_logs/version_111/hparams.yaml create mode 100644 examples/m5/lightning_logs/version_112/events.out.tfevents.1736841542.0124-101655-9l2fggt9-10-0-13-137.88031.6 create mode 100644 examples/m5/lightning_logs/version_112/hparams.yaml create mode 100644 examples/m5/lightning_logs/version_113/events.out.tfevents.1736841543.0124-101655-9l2fggt9-10-0-13-137.88031.7 create mode 100644 examples/m5/lightning_logs/version_113/hparams.yaml create mode 100644 examples/m5/lightning_logs/version_114/events.out.tfevents.1736841544.0124-101655-9l2fggt9-10-0-13-137.88031.8 create mode 100644 examples/m5/lightning_logs/version_114/hparams.yaml create mode 100644 examples/m5/lightning_logs/version_115/events.out.tfevents.1736841546.0124-101655-9l2fggt9-10-0-13-137.88031.9 create mode 100644 examples/m5/lightning_logs/version_115/hparams.yaml create mode 100644 examples/m5/lightning_logs/version_116/events.out.tfevents.1736841556.0124-101655-9l2fggt9-10-0-13-137.88031.10 create mode 100644 examples/m5/lightning_logs/version_116/hparams.yaml create mode 100644 examples/m5/lightning_logs/version_117/events.out.tfevents.1738270246.0124-101655-9l2fggt9-10-0-18-196.4455.0 create mode 100644 examples/m5/lightning_logs/version_117/hparams.yaml create mode 100644 examples/m5/lightning_logs/version_118/events.out.tfevents.1738270264.0124-101655-9l2fggt9-10-0-18-196.10194.0 create mode 100644 examples/m5/lightning_logs/version_118/hparams.yaml create mode 100644 examples/m5/lightning_logs/version_119/events.out.tfevents.1738270276.0124-101655-9l2fggt9-10-0-18-196.3756.0 create mode 100644 examples/m5/lightning_logs/version_119/hparams.yaml create mode 100644 examples/m5/lightning_logs/version_12/events.out.tfevents.1717939575.0124-101655-9l2fggt9-10-0-1-10.175081.10 create mode 100644 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100644 examples/m5/lightning_logs/version_138/hparams.yaml create mode 100644 examples/m5/lightning_logs/version_139/events.out.tfevents.1738270644.0124-101655-9l2fggt9-10-0-18-196.17146.7 create mode 100644 examples/m5/lightning_logs/version_139/hparams.yaml create mode 100644 examples/m5/lightning_logs/version_14/events.out.tfevents.1718129436.0124-101655-9l2fggt9-10-0-43-14.9664.0 create mode 100644 examples/m5/lightning_logs/version_14/hparams.yaml create mode 100644 examples/m5/lightning_logs/version_140/events.out.tfevents.1738270653.0124-101655-9l2fggt9-10-0-18-196.17146.8 create mode 100644 examples/m5/lightning_logs/version_140/hparams.yaml create mode 100644 examples/m5/lightning_logs/version_141/events.out.tfevents.1738270663.0124-101655-9l2fggt9-10-0-18-196.17146.9 create mode 100644 examples/m5/lightning_logs/version_141/hparams.yaml create mode 100644 examples/m5/lightning_logs/version_142/events.out.tfevents.1738270689.0124-101655-9l2fggt9-10-0-18-196.17146.10 create 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examples/m5/lightning_logs/version_95/events.out.tfevents.1736841343.0124-101655-9l2fggt9-10-0-13-137.67312.2 create mode 100644 examples/m5/lightning_logs/version_95/hparams.yaml create mode 100644 examples/m5/lightning_logs/version_96/events.out.tfevents.1736841345.0124-101655-9l2fggt9-10-0-13-137.67312.3 create mode 100644 examples/m5/lightning_logs/version_96/hparams.yaml create mode 100644 examples/m5/lightning_logs/version_97/events.out.tfevents.1736841346.0124-101655-9l2fggt9-10-0-13-137.67312.4 create mode 100644 examples/m5/lightning_logs/version_97/hparams.yaml create mode 100644 examples/m5/lightning_logs/version_98/events.out.tfevents.1736841347.0124-101655-9l2fggt9-10-0-13-137.67312.5 create mode 100644 examples/m5/lightning_logs/version_98/hparams.yaml create mode 100644 examples/m5/lightning_logs/version_99/events.out.tfevents.1736841348.0124-101655-9l2fggt9-10-0-13-137.67312.6 create mode 100644 examples/m5/lightning_logs/version_99/hparams.yaml rename examples/{m5-examples => m5}/local_univariate_daily_m5.py (87%) rename examples/{m5-examples => m5}/run_daily_m5.py (100%) rename examples/{ => monthly}/foundation_monthly.py (92%) rename examples/{ => monthly}/global_monthly.py (92%) rename examples/{ => monthly}/local_univariate_monthly.py (95%) rename examples/{ => weekly}/foundation_weekly.py (92%) rename examples/{ => weekly}/global_weekly.py (92%) rename examples/{ => weekly}/local_univariate_weekly.py (96%) diff --git a/README.md b/README.md index 274020d..5896979 100644 --- a/README.md +++ b/README.md @@ -12,10 +12,10 @@ Get started now! ## What's New -- Jan 2025: [TimesFM](https://github.com/google-research/timesfm) is available for univariate and covariate forecasting. Try the notebooks: [univariate](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/foundation_daily.py) and [covariate](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/foundation_external_regressors_daily.py). -- Jan 2025: [Chronos Bolt](https://github.com/amazon-science/chronos-forecasting) models are available for univariate forecasting. Try the [notebook](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/foundation_daily.py). -- Jan 2025: [Moirai MoE](https://github.com/SalesforceAIResearch/uni2ts) models are available for univariate forecasting. Try the [notebook](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/foundation_daily.py). -- Jan 2025: Added support for hourly (`freq="H"`) and weekly (`freq="W"`) time series . See the examples [here](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples). +- Jan 2025: [TimesFM](https://github.com/google-research/timesfm) is available for univariate and covariate forecasting. Try the notebooks: [univariate](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/daily/foundation_daily.py) and [covariate](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/external_regressors/foundation_external_regressors_daily.py). +- Jan 2025: [Chronos Bolt](https://github.com/amazon-science/chronos-forecasting) models are available for univariate forecasting. Try the [notebook](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/daily/foundation_daily.py). +- Jan 2025: [Moirai MoE](https://github.com/SalesforceAIResearch/uni2ts) models are available for univariate forecasting. Try the [notebook](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/daily/foundation_daily.py). +- Jan 2025: Added support for hourly (`freq="H"`) and weekly (`freq="W"`) time series . Try the notebooks: [hourly](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/hourly) and [weekly](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/weekly). ## Getting started @@ -25,7 +25,7 @@ To run this solution on a public [M4](https://www.kaggle.com/datasets/yogesh94/m Local models are used to model individual time series. They could be advantageous over other types of model for their capabilities to tailor fit to individual series, offer greater interpretability, and require lower data requirements. We support models from [statsforecast](https://github.com/Nixtla/statsforecast), [r fable](https://cran.r-project.org/web/packages/fable/vignettes/fable.html) and [sktime](https://www.sktime.net/en/stable/). Covariates (i.e. exogenous regressors) are currently only supported for some models from statsforecast. -To get started, attach the [examples/local_univariate_daily.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/local_univariate_daily.py) notebook to a cluster running [DBR 14.3 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/14.3lts-ml.html) or later versions. The cluster can be either a single-node or multi-node CPU cluster. Make sure to set the following [Spark configurations](https://spark.apache.org/docs/latest/configuration.html) on the cluster before you start using MMF: ```spark.sql.execution.arrow.enabled true``` and ```spark.sql.adaptive.enabled false``` (more detailed explanation to follow). +To get started, attach the [examples/daily/local_univariate_daily.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/daily/local_univariate_daily.py) notebook to a cluster running [DBR 15.4LTS for ML](https://docs.databricks.com/en/release-notes/runtime/15.4lts-ml.html) or later versions. The cluster can be either a single-node or multi-node CPU cluster. Make sure to set the following [Spark configurations](https://spark.apache.org/docs/latest/configuration.html) on the cluster before you start using MMF: ```spark.sql.execution.arrow.enabled true``` and ```spark.sql.adaptive.enabled false``` (more detailed explanation to follow). In this notebook, we will apply 20+ models to 100 time series. You can specify the models to use in a list: @@ -112,13 +112,13 @@ To modify the model hyperparameters, change the values in [mmf_sa/models/models_ MMF is fully integrated with MLflow, so once the training kicks off, the experiments will be visible in the MLflow Tracking UI with the corresponding metrics and parameters (note that we do not log all local models in MLFlow, but we store the binaries in the tables ```evaluation_output``` and ```scoring_output```). The metric you see in the MLflow Tracking UI is a simple mean over backtesting trials over all time series. -We encourage you to read through [examples/local_univariate_daily.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/local_univariate_daily.py) notebook to better understand how local models can be applied to your time series using MMF. Other example notebooks for monthly forecasting and forecasting with exogenous regressors can be found in [examples/local_univariate_monthly.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/local_univariate_monthly.py) and [examples/local_univariate_external_regressors_daily.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/local_univariate_external_regressors_daily.py). +We encourage you to read through [examples/daily/local_univariate_daily.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/daily/local_univariate_daily.py) notebook to better understand how local models can be applied to your time series using MMF. An example notebook for forecasting with exogenous regressors can be found in [examples/external_regressors/local_univariate_external_regressors_daily.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/external_regressors/local_univariate_external_regressors_daily.py). ### Global Models Global models leverage patterns across multiple time series, enabling shared learning and improved predictions for each series. You would typically train one big model for many or all time series. They can often deliver better performance and robustness for forecasting large and similar datasets. We support deep learning based models from [neuralforecast](https://nixtlaverse.nixtla.io/neuralforecast/index.html). Covariates (i.e. exogenous regressors) and hyperparameter tuning are both supported for some models. -To get started, attach the [examples/global_daily.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/global_daily.py) notebook to a cluster running [DBR 14.3LTS for ML](https://docs.databricks.com/en/release-notes/runtime/index.html) or later version. We recommend using a single-node cluster with multiple GPU instances such as [g4dn.12xlarge [T4]](https://aws.amazon.com/ec2/instance-types/g4/) on AWS or [Standard_NC64as_T4_v3](https://learn.microsoft.com/en-us/azure/virtual-machines/nct4-v3-series) on Azure. Multi-node setting is currently not supported. +To get started, attach the [examples/daily/global_daily.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/daily/global_daily.py) notebook to a cluster running [DBR 15.4LTS for ML](https://docs.databricks.com/en/release-notes/runtime/15.4lts-ml.html) or later version. We recommend using a single-node cluster with multiple GPU instances such as [g4dn.12xlarge [T4]](https://aws.amazon.com/ec2/instance-types/g4/) on AWS or [Standard_NC64as_T4_v3](https://learn.microsoft.com/en-us/azure/virtual-machines/nct4-v3-series) on Azure. Multi-node setting is currently not supported. You can choose the models to train and put them in a list: @@ -139,7 +139,7 @@ active_models = [ The models prefixed with "Auto" perform hyperparameter optimization within a specified range (see below for more detail). A comprehensive list of models currently supported by MMF is available in the [models_conf.yaml](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/mmf_sa/models/models_conf.yaml). -Now, with the following command, we run the [examples/run_daily.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/run_daily.py) notebook that will in turn call ```run_forecast``` function and loop through the ```active_models``` list . +Now, with the following command, we run the [examples/run_daily.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/run_daily.py) notebook that will in turn call ```run_forecast``` function and loop through the ```active_models``` list. ```python for model in active_models: @@ -189,13 +189,13 @@ To modify the model hyperparameters or reset the range of the hyperparameter sea MMF is fully integrated with MLflow and so once the training kicks off, the experiments will be visible in the MLflow Tracking UI with the corresponding metrics and parameters. Once the training is complete the models will be logged to MLFlow and registered to Unity Catalog. -We encourage you to read through [examples/global_daily.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/global_daily.py) notebook to better understand how global models can be applied to your time series using MMF. Other example notebooks for monthly forecasting and forecasting with exogenous regressors can be found in [examples/global_monthly.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/global_monthly.py) and [examples/global_external_regressors_daily.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/global_external_regressors_daily.py) respectively. +We encourage you to read through [examples/daily/global_daily.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/daily/global_daily.py) notebook to better understand how global models can be applied to your time series using MMF. An example notebook for forecasting with exogenous regressors can be found in [examples/external_regressors/global_external_regressors_daily.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/external_regressors/global_external_regressors_daily.py). ### Foundation Models -Foundation time series models are mostly transformer based models pretrained on millions or billions of time points. These models can perform analysis (i.e. forecasting, anomaly detection, classification) on a previously unseen time series without training or tuning. We support open source models from multiple sources: [chronos](https://github.com/amazon-science/chronos-forecasting), [timesfm](https://github.com/google-research/timesfm), and [moirai](https://blog.salesforceairesearch.com/moirai/). Covariates (i.e. exogenous regressors) and fine-tuning are currently not yet supported. This is a rapidly changing field, and we are working on updating the supported models and new features as the field evolves. +Foundation time series models are mostly transformer based models pretrained on millions or billions of time points. These models can perform analysis (i.e. forecasting, anomaly detection, classification) on a previously unseen time series without training or tuning. We support open source models from multiple sources: [chronos](https://github.com/amazon-science/chronos-forecasting), [timesfm](https://github.com/google-research/timesfm), and [moirai](https://blog.salesforceairesearch.com/moirai/). This is a rapidly changing field, and we are working on updating the supported models and new features as the field evolves. -To get started, attach the [examples/foundation_daily.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/foundation_daily.py) notebook to a cluster running [DBR 14.3 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/index.html) or later versions. We recommend using a single-node cluster with multiple GPU instances such as [g4dn.12xlarge [T4]](https://aws.amazon.com/ec2/instance-types/g4/) on AWS or [Standard_NC64as_T4_v3](https://learn.microsoft.com/en-us/azure/virtual-machines/nct4-v3-series) on Azure. Multi-node setup is currently not supported. +To get started, attach the [examples/daily/foundation_daily.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/daily/foundation_daily.py) notebook to a cluster running [DBR 15.4LTS for ML](https://docs.databricks.com/en/release-notes/runtime/15.4lts-ml.html) or later versions. We recommend using a single-node cluster with multiple GPU instances such as [g4dn.12xlarge [T4]](https://aws.amazon.com/ec2/instance-types/g4/) on AWS or [Standard_NC64as_T4_v3](https://learn.microsoft.com/en-us/azure/virtual-machines/nct4-v3-series) on Azure. Multi-node setup is currently not supported. You can choose the models you want to evaluate and forecast by specifying them in a list: @@ -238,7 +238,7 @@ To modify the model hyperparameters, change the values in [mmf_sa/models/models_ MMF is fully integrated with MLflow and so once the training kicks off, the experiments will be visible in the MLflow Tracking UI with the corresponding metrics and parameters. During the evaluation, the models are logged and registered to Unity Catalog. -We encourage you to read through [examples/foundation_daily.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/foundation_daily.py) notebook to better understand how foundation models can be applied to your time series using MMF. An example notebook for monthly forecasting can be found in [examples/foundation_monthly.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/foundation_monthly.py). +We encourage you to read through [examples/daily/foundation_daily.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/daily/foundation_daily.py) notebook to better understand how foundation models can be applied to your time series using MMF. An example notebook for forecasting with exogenous regressors can be found in [examples/external_regressors/foundation_external_regressors_daily.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/external_regressors/foundation_external_regressors_daily.py). #### Using Time Series Foundation Models on Databricks diff --git a/examples/foundation_daily.py b/examples/daily/foundation_daily.py similarity index 87% rename from examples/foundation_daily.py rename to examples/daily/foundation_daily.py index cf154aa..ad8f2e6 100644 --- a/examples/foundation_daily.py +++ b/examples/daily/foundation_daily.py @@ -8,13 +8,13 @@ # MAGIC %md # MAGIC ### Cluster setup # MAGIC -# MAGIC We recommend using a cluster with [Databricks Runtime 14.3 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/14.3lts-ml.html) or above. The cluster should be single-node with one or more GPU instances: e.g. [g4dn.12xlarge [T4]](https://aws.amazon.com/ec2/instance-types/g4/) on AWS or [Standard_NC64as_T4_v3](https://learn.microsoft.com/en-us/azure/virtual-machines/nct4-v3-series) on Azure. MMF leverages [Pandas UDF](https://docs.databricks.com/en/udf/pandas.html) for distributing the inference tasks and utilizing all the available resource. +# MAGIC We recommend using a cluster with [Databricks Runtime 15.4 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/15.4lts-ml.html) or above. The cluster should be single-node with one or more GPU instances: e.g. [g4dn.12xlarge [T4]](https://aws.amazon.com/ec2/instance-types/g4/) on AWS or [Standard_NC64as_T4_v3](https://learn.microsoft.com/en-us/azure/virtual-machines/nct4-v3-series) on Azure. MMF leverages [Pandas UDF](https://docs.databricks.com/en/udf/pandas.html) for distributing the inference tasks and utilizing all the available resource. # COMMAND ---------- # MAGIC %md # MAGIC ### Install and import packages -# MAGIC Check out [requirements.txt](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/requirements.txt) if you're interested in the libraries we use. For foundation models, additional dependencies are installed and imported as per demand. See how this is done in `install` function defined in each model pipeline script: e.g. [mmf_sa/models/chronosforecast/ChronosPipeline.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/mmf_sa/models/chronosforecast/ChronosPipeline.py). +# MAGIC Check out [requirements-global.txt](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/requirements-global.txt) if you're interested in the libraries we use. For foundation models, additional dependencies are installed and imported as per demand. See how this is done in `install` function defined in each model pipeline script: e.g. [mmf_sa/models/chronosforecast/ChronosPipeline.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/mmf_sa/models/chronosforecast/ChronosPipeline.py). # COMMAND ---------- @@ -139,6 +139,8 @@ def transform_group(df): # MAGIC # MAGIC Now, we can run the evaluation and forecasting using `run_forecast` function defined in [mmf_sa/models/__init__.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/mmf_sa/models/__init__.py). Refer to [README.md](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/README.md#parameters-description) for a comprehensive description of each parameter. # MAGIC +# MAGIC Note that we are not providing any covariate field (i.e. `static_features`, `dynamic_future_numerical`, `dynamic_future_categorical`, `dynamic_historical_numerical`, or `dynamic_historical_categorical`) yet in this example. We will look into how we can add exogenous regressors to help our models in a different notebook: [examples/external_regressors/foundation_external_regressors_daily.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/external_regressors/foundation_external_regressors_daily.py). +# MAGIC # MAGIC While the following cell is running, you can check the status of your run on Experiments. Make sure you look for the experiments with the path you provided as `experiment_path` within `run_forecast`. On the Experiments page, you see one entry per one model (i.e. ChronosT5Large). The metric provided here is a simple average over all back testing trials and all time series. This is intended to give you an initial feeling of how good each model performs on your entire data mix. But we will look into how you can scrutinize the evaluation using the `evaluation_output` table in a bit. # MAGIC # MAGIC If you are interested in how MMF achieves distributed inference on these foundation models using Pandas UDF, have a look at the model pipeline scripts: e.g. [mmf_sa/models/chronosforecast/ChronosPipeline.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/mmf_sa/models/chronosforecast/ChronosPipeline.py). @@ -152,7 +154,7 @@ def transform_group(df): for model in active_models: dbutils.notebook.run( - "run_daily", + "../run_daily", timeout_seconds=0, arguments={"catalog": catalog, "db": db, "model": model, "run_id": run_id, "user": user}) @@ -181,12 +183,12 @@ def transform_group(df): # MAGIC # MAGIC We also register the model in Unity Catalog and store each model's URI in this table (`model_uri`). You can use MLFlow to [load the models](https://mlflow.org/docs/latest/python_api/mlflow.pyfunc.html#mlflow.pyfunc.load_model) and access their specifications or produce forecasts. # MAGIC -# MAGIC Once you have your foundation models registered in Unity Catalog, you can deploy them behind a real-time endpoint on [Model Serving](https://docs.databricks.com/en/machine-learning/model-serving/index.html). You can then generate a multi-step ahead forecast at any point in time as long as you provide the history with the right resolution. This could be a game changing feature for applications relying on real-time tracking and monitoring of time series data. See the notebooks in [examples/foundation-model-examples](https://github.com/databricks-industry-solutions/many-model-forecasting/tree/main/examples/foundation-model-examples) for examples of how to register and deploy a model, and make an online forecasting request on that model. +# MAGIC Once you have your foundation models registered in Unity Catalog, you can deploy them behind a real-time endpoint on [Model Serving](https://docs.databricks.com/en/machine-learning/model-serving/index.html). You can then generate a multi-step ahead forecast at any point in time as long as you provide the history with the right resolution. This could be a game changing feature for applications relying on real-time tracking and monitoring of time series data. See the notebooks in [databricks-industry-solutions/transformer_forecasting](https://github.com/databricks-industry-solutions/transformer_forecasting) for examples of how to register and deploy a model, and make an online forecasting request on that model. # COMMAND ---------- # MAGIC %md ### Forecast -# MAGIC In `scoring_output` table, forecasts for each time series from each model are stored. Based on the evaluation exercised performed on `evaluation_output` table, you can select the forecasts from the best performing models or a mix of models. We again store each model's URI in this table (`model_uri`). You can use MLFlow to [load the models](https://mlflow.org/docs/latest/python_api/mlflow.pyfunc.html#mlflow.pyfunc.load_model) and access their specifications or produce forecasts. +# MAGIC In `scoring_output` table, forecasts for each time series from each model are stored. Based on the evaluation exercised performed on `evaluation_output` table, you can select the forecasts from the best performing models or a mix of models. We again store each model's URI in this table (`model_uri`). # COMMAND ---------- diff --git a/examples/global_daily.py b/examples/daily/global_daily.py similarity index 92% rename from examples/global_daily.py rename to examples/daily/global_daily.py index 16abcb1..9189ea3 100644 --- a/examples/global_daily.py +++ b/examples/daily/global_daily.py @@ -8,13 +8,13 @@ # MAGIC %md # MAGIC ### Cluster setup # MAGIC -# MAGIC We recommend using a cluster with [Databricks Runtime 14.3 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/14.3lts-ml.html) or above. The cluster should be single-node with one or more GPU instances: e.g. [g4dn.12xlarge [T4]](https://aws.amazon.com/ec2/instance-types/g4/) on AWS or [Standard_NC64as_T4_v3](https://learn.microsoft.com/en-us/azure/virtual-machines/nct4-v3-series) on Azure. MMF leverages [neuralforecast](https://nixtlaverse.nixtla.io/neuralforecast/index.html) which is built on top of [pytorch](https://lightning.ai/docs/pytorch/stable/common/trainer.html) and can therefore utilize all the [available resources](https://lightning.ai/docs/pytorch/stable/common/trainer.html). +# MAGIC We recommend using a cluster with [Databricks Runtime 15.4 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/15.4lts-ml.html) or above. The cluster should be single-node with one or more GPU instances: e.g. [g4dn.12xlarge [T4]](https://aws.amazon.com/ec2/instance-types/g4/) on AWS or [Standard_NC64as_T4_v3](https://learn.microsoft.com/en-us/azure/virtual-machines/nct4-v3-series) on Azure. MMF leverages [neuralforecast](https://nixtlaverse.nixtla.io/neuralforecast/index.html) which is built on top of [pytorch](https://lightning.ai/docs/pytorch/stable/common/trainer.html) and can therefore utilize all the [available resources](https://lightning.ai/docs/pytorch/stable/common/trainer.html). # COMMAND ---------- # MAGIC %md # MAGIC ### Install and import packages -# MAGIC Check out [requirements.txt](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/requirements.txt) if you're interested in the libraries we use. +# MAGIC Check out [requirements-global.txt](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/requirements-global.txt) if you're interested in the libraries we use. # COMMAND ---------- @@ -135,7 +135,7 @@ def transform_group(df): # MAGIC # MAGIC Now, we can run the evaluation and forecasting using `run_forecast` function defined in [mmf_sa/models/__init__.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/mmf_sa/models/__init__.py). Refer to [README.md](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/README.md#parameters-description) for a comprehensive description of each parameter. # MAGIC -# MAGIC Note that we are not providing any covariate field (i.e. `static_features`, `dynamic_future` or `dynamic_historical`) yet in this example. We will look into how we can add exogenous regressors to help our models in a different notebook: [examples/global_external_regressors_daily.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/global_external_regressors_daily.py). +# MAGIC Note that we are not providing any covariate field (i.e. `static_features`, `dynamic_future` or `dynamic_historical`) yet in this example. We will look into how we can add exogenous regressors to help our models in a different notebook: [examples/external_regressors/global_external_regressors_daily.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/external_regressors/global_external_regressors_daily.py). # MAGIC # MAGIC While the following cell is running, you can check the status of your run on Experiments. Make sure you look for the experiments with the path you provided as `experiment_path` within `run_forecast`. On the Experiments page, you see one entry per one model (i.e. NeuralForecastAutoNBEATSx). The metric provided here is a simple average over all back testing trials and all time series. This is intended to give you an initial feeling of how good each model performs on your entire data mix. But we will look into how you can scrutinize the evaluation using the `evaluation_output` table in a bit. # MAGIC @@ -150,7 +150,7 @@ def transform_group(df): for model in active_models: dbutils.notebook.run( - "run_daily", + "../run_daily", timeout_seconds=0, arguments={"catalog": catalog, "db": db, "model": model, "run_id": run_id, "user": user}) @@ -176,12 +176,12 @@ def transform_group(df): # MAGIC # MAGIC Note that if you run local and/or global models against the same time series with the same input parameters (except for those specifying global and foundation models), you will get the entries from those models in the same table and will be able to compare across all types models, which is the biggest benefit of having all models integrated in one solution. # MAGIC -# MAGIC We also register the model in Unity Catalog and store each model's URI in this table (`model_uri`). You can use MLFlow to [load the models](https://mlflow.org/docs/latest/python_api/mlflow.sklearn.html#mlflow.sklearn.load_model) and access their specifications or produce forecasts. +# MAGIC We also register the model in Unity Catalog and store each model's URI in this table (`model_uri`). You can use MLFlow to [load the models](https://mlflow.org/docs/latest/python_api/mlflow.pyfunc.html#mlflow.pyfunc.load_model) and access their specifications or produce forecasts. # COMMAND ---------- # MAGIC %md ### Forecast -# MAGIC In `scoring_output` table, forecasts for each time series from each model are stored. Based on the evaluation exercised performed on `evaluation_output` table, you can select the forecasts from the best performing models or a mix of models. We again store each model's URI in this table (`model_uri`). You can use MLFlow to [load the models](https://mlflow.org/docs/latest/python_api/mlflow.sklearn.html#mlflow.sklearn.load_model) and access their specifications or produce forecasts. +# MAGIC In `scoring_output` table, forecasts for each time series from each model are stored. Based on the evaluation exercised performed on `evaluation_output` table, you can select the forecasts from the best performing models or a mix of models. We again store each model's URI in this table (`model_uri`). # COMMAND ---------- diff --git a/examples/local_univariate_daily.py b/examples/daily/local_univariate_daily.py similarity index 96% rename from examples/local_univariate_daily.py rename to examples/daily/local_univariate_daily.py index f55cdec..88345ec 100644 --- a/examples/local_univariate_daily.py +++ b/examples/daily/local_univariate_daily.py @@ -8,7 +8,7 @@ # MAGIC %md # MAGIC ### Cluster setup # MAGIC -# MAGIC We recommend using a cluster with [Databricks Runtime 14.3 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/14.3lts-ml.html) or above. The cluster can be either a single-node or multi-node CPU cluster. MMF leverages [Pandas UDF](https://docs.databricks.com/en/udf/pandas.html) under the hood and utilizes all the available resource. Make sure to set the following Spark configurations before you start your cluster: [`spark.sql.execution.arrow.enabled true`](https://spark.apache.org/docs/3.0.1/sql-pyspark-pandas-with-arrow.html#enabling-for-conversion-tofrom-pandas) and [`spark.sql.adaptive.enabled false`](https://spark.apache.org/docs/latest/sql-performance-tuning.html#adaptive-query-execution). You can do this by specifying [Spark configuration](https://docs.databricks.com/en/compute/configure.html#spark-configuration) in the advanced options on the cluster creation page. +# MAGIC We recommend using a cluster with [Databricks Runtime 15.4 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/15.4lts-ml.html) or above. The cluster can be either a single-node or multi-node CPU cluster. MMF leverages [Pandas UDF](https://docs.databricks.com/en/udf/pandas.html) under the hood and utilizes all the available resource. Make sure to set the following Spark configurations before you start your cluster: [`spark.sql.execution.arrow.enabled true`](https://spark.apache.org/docs/3.0.1/sql-pyspark-pandas-with-arrow.html#enabling-for-conversion-tofrom-pandas) and [`spark.sql.adaptive.enabled false`](https://spark.apache.org/docs/latest/sql-performance-tuning.html#adaptive-query-execution). You can do this by specifying [Spark configuration](https://docs.databricks.com/en/compute/configure.html#spark-configuration) in the advanced options on the cluster creation page. # COMMAND ---------- @@ -19,7 +19,7 @@ # COMMAND ---------- # DBTITLE 1,Install the necessary libraries -# MAGIC %pip install -r ../requirements.txt --quiet +# MAGIC %pip install -r ../../requirements.txt --quiet # MAGIC dbutils.library.restartPython() # COMMAND ---------- @@ -161,7 +161,7 @@ def transform_group(df): # MAGIC # MAGIC Now, we can run the evaluation and forecasting using `run_forecast` function defined in [mmf_sa/models/__init__.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/mmf_sa/models/__init__.py). # MAGIC -# MAGIC Refer to [README.md](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/README.md#parameters-description) for a comprehensive explanation of each parameter. Note that we are not providing any covariate field (i.e. `static_features`, `dynamic_future` or `dynamic_historical`) yet in this example. We will look into how we can add exogenous regressors to help our models in a different notebook: [examples/local_univariate_external_regressors_daily.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/local_univariate_external_regressors_daily.py). +# MAGIC Refer to [README.md](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/README.md#parameters-description) for a comprehensive explanation of each parameter. Note that we are not providing any covariate field (i.e. `static_features`, `dynamic_future` or `dynamic_historical`) yet in this example. We will look into how we can add exogenous regressors to help our models in a different notebook: [examples/external_regressors/local_univariate_external_regressors_daily.py](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/external_regressors/local_univariate_external_regressors_daily.py). # MAGIC # MAGIC While the following cell is running, you can check the status of your run on Experiments. Make sure you look for the experiments with the path you provided as `experiment_path` within `run_forecast`. On the Experiments page, you see one entry per one model (i.e. StatsForecastAutoArima). The metric provided here is a simple average over all back testing trials and all time series. This is intended to give you an initial feeling of how good each model performs on your entire data mix. But we will look into how you can scrutinize the evaluation using the `evaluation_output` table in a bit. # MAGIC diff --git a/examples/foundation_external_regressors_daily.py b/examples/external_regressors/foundation_external_regressors_daily.py similarity index 92% rename from examples/foundation_external_regressors_daily.py rename to examples/external_regressors/foundation_external_regressors_daily.py index 04a0c74..a569488 100644 --- a/examples/foundation_external_regressors_daily.py +++ b/examples/external_regressors/foundation_external_regressors_daily.py @@ -2,20 +2,20 @@ # MAGIC %md # MAGIC # Many Models Forecasting Demo # MAGIC -# MAGIC This notebook showcases how to run MMF with foundation models on multiple time series of daily resolution using exogenous regressors. We will use [Rossmann Store](https://www.kaggle.com/competitions/rossmann-store-sales/data) data. To be able to run this notebook, you need to register on [Kaggle](https://www.kaggle.com/) and download the dataset. The descriptions here are mostly the same as the case [without exogenous regressors](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/foundation_daily.py), so we will skip the redundant parts and focus only on the essentials. +# MAGIC This notebook showcases how to run MMF with foundation models on multiple time series of daily resolution using exogenous regressors. We will use [Rossmann Store](https://www.kaggle.com/competitions/rossmann-store-sales/data) data. To be able to run this notebook, you need to register on [Kaggle](https://www.kaggle.com/) and download the dataset. The descriptions here are mostly the same as the case [without exogenous regressors](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/daily/foundation_daily.py), so we will skip the redundant parts and focus only on the essentials. # COMMAND ---------- # MAGIC %md # MAGIC ### Cluster setup # MAGIC -# MAGIC We recommend using a cluster with [Databricks Runtime 14.3 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/14.3lts-ml.html) or above. The cluster should be single-node with one or more GPU instances: e.g. [g4dn.12xlarge [T4]](https://aws.amazon.com/ec2/instance-types/g4/) on AWS or [Standard_NC64as_T4_v3](https://learn.microsoft.com/en-us/azure/virtual-machines/nct4-v3-series) on Azure. +# MAGIC We recommend using a cluster with [Databricks Runtime 15.4 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/15.4lts-ml.html) or above. The cluster should be single-node with one or more GPU instances: e.g. [g4dn.12xlarge [T4]](https://aws.amazon.com/ec2/instance-types/g4/) on AWS or [Standard_NC64as_T4_v3](https://learn.microsoft.com/en-us/azure/virtual-machines/nct4-v3-series) on Azure. # COMMAND ---------- # MAGIC %md # MAGIC ### Install and import packages -# MAGIC Check out [requirements.txt](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/requirements.txt) if you're interested in the libraries we use. +# MAGIC Check out [requirements-global.txt](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/requirements-global.txt) if you're interested in the libraries we use. # COMMAND ---------- @@ -58,7 +58,7 @@ # Number of time series to sample sample = True -size = 1000 +size = 100 stores = sorted(random.sample(range(0, 1000), size)) train = spark.read.csv(f"/Volumes/{catalog}/{db}/{volume}/train.csv", header=True, inferSchema=True) @@ -119,7 +119,7 @@ for model in active_models: dbutils.notebook.run( - "run_external_regressors_daily", + "../run_external_regressors_daily", timeout_seconds=0, arguments={"catalog": catalog, "db": db, "model": model, "run_id": run_id, "user": user}) @@ -161,4 +161,4 @@ # COMMAND ---------- -#display(spark.sql(f"delete from {catalog}.{db}.rossmann_daily_scoring_output")) \ No newline at end of file +#display(spark.sql(f"delete from {catalog}.{db}.rossmann_daily_scoring_output")) diff --git a/examples/global_external_regressors_daily.py b/examples/external_regressors/global_external_regressors_daily.py similarity index 91% rename from examples/global_external_regressors_daily.py rename to examples/external_regressors/global_external_regressors_daily.py index e9a518b..2f1fa94 100644 --- a/examples/global_external_regressors_daily.py +++ b/examples/external_regressors/global_external_regressors_daily.py @@ -2,20 +2,20 @@ # MAGIC %md # MAGIC # Many Models Forecasting Demo # MAGIC -# MAGIC This notebook showcases how to run MMF with global models on multiple time series of daily resolution using exogenous regressors. We will use [Rossmann Store](https://www.kaggle.com/competitions/rossmann-store-sales/data) data. To be able to run this notebook, you need to register on [Kaggle](https://www.kaggle.com/) and download the dataset. The descriptions here are mostly the same as the case [without exogenous regressors](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/global_daily.py), so we will skip the redundant parts and focus only on the essentials. +# MAGIC This notebook showcases how to run MMF with global models on multiple time series of daily resolution using exogenous regressors. We will use [Rossmann Store](https://www.kaggle.com/competitions/rossmann-store-sales/data) data. To be able to run this notebook, you need to register on [Kaggle](https://www.kaggle.com/) and download the dataset. The descriptions here are mostly the same as the case [without exogenous regressors](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/daily/global_daily.py), so we will skip the redundant parts and focus only on the essentials. # COMMAND ---------- # MAGIC %md # MAGIC ### Cluster setup # MAGIC -# MAGIC We recommend using a cluster with [Databricks Runtime 14.3 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/14.3lts-ml.html) or above. The cluster should be single-node with one or more GPU instances: e.g. [g4dn.12xlarge [T4]](https://aws.amazon.com/ec2/instance-types/g4/) on AWS or [Standard_NC64as_T4_v3](https://learn.microsoft.com/en-us/azure/virtual-machines/nct4-v3-series) on Azure. MMF leverages [neuralforecast](https://nixtlaverse.nixtla.io/neuralforecast/index.html) which is built on top of [pytorch](https://lightning.ai/docs/pytorch/stable/common/trainer.html) and can therefore utilize all the [available resources](https://lightning.ai/docs/pytorch/stable/common/trainer.html). +# MAGIC We recommend using a cluster with [Databricks Runtime 15.4 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/15.4lts-ml.html) or above. The cluster should be single-node with one or more GPU instances: e.g. [g4dn.12xlarge [T4]](https://aws.amazon.com/ec2/instance-types/g4/) on AWS or [Standard_NC64as_T4_v3](https://learn.microsoft.com/en-us/azure/virtual-machines/nct4-v3-series) on Azure. MMF leverages [neuralforecast](https://nixtlaverse.nixtla.io/neuralforecast/index.html) which is built on top of [pytorch](https://lightning.ai/docs/pytorch/stable/common/trainer.html) and can therefore utilize all the [available resources](https://lightning.ai/docs/pytorch/stable/common/trainer.html). # COMMAND ---------- # MAGIC %md # MAGIC ### Install and import packages -# MAGIC Check out [requirements.txt](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/requirements.txt) if you're interested in the libraries we use. +# MAGIC Check out [requirements-global.txt](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/requirements-global.txt) if you're interested in the libraries we use. # COMMAND ---------- @@ -97,7 +97,7 @@ # MAGIC %md ### Models # MAGIC Let's configure a list of models we are going to apply to our time series for evaluation and forecasting. A comprehensive list of all supported models is available in [mmf_sa/models/models_conf.yaml](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/mmf_sa/models/models_conf.yaml). Look for the models where `model_type: global`; these are the global models we import from [neuralforecast](https://github.com/Nixtla/neuralforecast). Check their documentation for the detailed description of each model. # MAGIC -# MAGIC Exogenous regressors are currently only supported for [some models](https://nixtlaverse.nixtla.io/neuralforecast/models.html) (e.g. `NeuralForecastAutoNBEATSx`). But including non-supported models in the active model list doesn't harm: models that can't use exogenous regressors will simply ignore them. +# MAGIC Exogenous regressors are currently only supported for [some models](https://nixtlaverse.nixtla.io/neuralforecast/models.html) (e.g. `NeuralForecastAutoNBEATSx`). The following list of models support exogenous regressors. # COMMAND ---------- @@ -126,7 +126,7 @@ for model in active_models: dbutils.notebook.run( - "run_external_regressors_daily", + "../run_external_regressors_daily", timeout_seconds=0, arguments={"catalog": catalog, "db": db, "model": model, "run_id": run_id, "user": user}) diff --git a/examples/local_univariate_external_regressors_daily.py b/examples/external_regressors/local_univariate_external_regressors_daily.py similarity index 95% rename from examples/local_univariate_external_regressors_daily.py rename to examples/external_regressors/local_univariate_external_regressors_daily.py index 48b34a6..445dbd5 100644 --- a/examples/local_univariate_external_regressors_daily.py +++ b/examples/external_regressors/local_univariate_external_regressors_daily.py @@ -2,19 +2,19 @@ # MAGIC %md # MAGIC # Many Models Forecasting Demo # MAGIC -# MAGIC This notebook showcases how to run MMF with local models on multiple time series of daily resolution using exogenous regressors. We will use [Rossmann Store](https://www.kaggle.com/competitions/rossmann-store-sales/data) data. To be able to run this notebook, you need to register on [Kaggle](https://www.kaggle.com/) and download the dataset. The descriptions here are mostly the same as the case [without exogenous regressors](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/local_univariate_daily.py), so we will skip the redundant parts and focus only on the essentials. +# MAGIC This notebook showcases how to run MMF with local models on multiple time series of daily resolution using exogenous regressors. We will use [Rossmann Store](https://www.kaggle.com/competitions/rossmann-store-sales/data) data. To be able to run this notebook, you need to register on [Kaggle](https://www.kaggle.com/) and download the dataset. The descriptions here are mostly the same as the case [without exogenous regressors](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/daily/local_univariate_daily.py), so we will skip the redundant parts and focus only on the essentials. # COMMAND ---------- # MAGIC %md # MAGIC ### Cluster setup # MAGIC -# MAGIC We recommend using a cluster with [Databricks Runtime 14.3 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/14.3lts-ml.html) or above. The cluster can be either a single-node or multi-node CPU cluster. Make sure to set the following Spark configurations before you start your cluster: [`spark.sql.execution.arrow.enabled true`](https://spark.apache.org/docs/3.0.1/sql-pyspark-pandas-with-arrow.html#enabling-for-conversion-tofrom-pandas) and [`spark.sql.adaptive.enabled false`](https://spark.apache.org/docs/latest/sql-performance-tuning.html#adaptive-query-execution). You can do this by specifying [Spark configuration](https://docs.databricks.com/en/compute/configure.html#spark-configuration) in the advanced options on the cluster creation page. +# MAGIC We recommend using a cluster with [Databricks Runtime 15.4 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/15.4lts-ml.html) or above. The cluster can be either a single-node or multi-node CPU cluster. Make sure to set the following Spark configurations before you start your cluster: [`spark.sql.execution.arrow.enabled true`](https://spark.apache.org/docs/3.0.1/sql-pyspark-pandas-with-arrow.html#enabling-for-conversion-tofrom-pandas) and [`spark.sql.adaptive.enabled false`](https://spark.apache.org/docs/latest/sql-performance-tuning.html#adaptive-query-execution). You can do this by specifying [Spark configuration](https://docs.databricks.com/en/compute/configure.html#spark-configuration) in the advanced options on the cluster creation page. # COMMAND ---------- # DBTITLE 1,Install the necessary libraries -# MAGIC %pip install -r ../requirements.txt --quiet +# MAGIC %pip install -r ../../requirements.txt --quiet # MAGIC dbutils.library.restartPython() # COMMAND ---------- @@ -134,7 +134,7 @@ # MAGIC %md ### Run MMF # MAGIC -# MAGIC Now, we run the evaluation and forecasting using `run_forecast` function. We are providing the training table and the scoring table names. If `scoring_data` is not provided or if the same name as `train_data` is provided, the models will ignore the `dynamic_future_numerical` and `dynamic_future_categorical` regressors. Note that we are providing a covariate field (i.e. `dynamic_future_numerical` or `dynamic_future_categorical`) this time. There are also other convariate fields, namely `static_features`, `dynamic_historical_numerical` and `dynamic_historical_categorical`, but these are only relevant with the global models. +# MAGIC Now, we run the evaluation and forecasting using `run_forecast` function. We are providing the training table and the scoring table names. If `scoring_data` is not provided or if the same name as `train_data` is provided, the models will ignore the `dynamic_future_numerical` and `dynamic_future_categorical` regressors. Note that we are providing a covariate field (i.e. `dynamic_future_numerical` or `dynamic_future_categorical`) this time. There are also other convariate fields, namely `static_features`, `dynamic_historical_numerical` and `dynamic_historical_categorical`, but these are only relevant with the global and foundation models. # COMMAND ---------- diff --git a/examples/foundation_hourly.py b/examples/hourly/foundation_hourly.py similarity index 92% rename from examples/foundation_hourly.py rename to examples/hourly/foundation_hourly.py index c3a8623..c55f298 100644 --- a/examples/foundation_hourly.py +++ b/examples/hourly/foundation_hourly.py @@ -1,20 +1,20 @@ # Databricks notebook source # MAGIC %md # MAGIC # Many Models Forecasting Demo -# MAGIC This notebook showcases how to run MMF with foundation models on multiple time series of hourly resolution. We will use [M4 competition](https://www.sciencedirect.com/science/article/pii/S0169207019301128#sec5) data. The descriptions here are mostly the same as the case with the [daily resolution](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/foundation_daily.py), so we will skip the redundant parts and focus only on the essentials. +# MAGIC This notebook showcases how to run MMF with foundation models on multiple time series of hourly resolution. We will use [M4 competition](https://www.sciencedirect.com/science/article/pii/S0169207019301128#sec5) data. The descriptions here are mostly the same as the case with the [daily resolution](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/daily/foundation_daily.py), so we will skip the redundant parts and focus only on the essentials. # COMMAND ---------- # MAGIC %md # MAGIC ### Cluster setup # MAGIC -# MAGIC We recommend using a cluster with [Databricks Runtime 14.3 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/14.3lts-ml.html) or above. The cluster should be single-node with one or more GPU instances: e.g. [g4dn.12xlarge [T4]](https://aws.amazon.com/ec2/instance-types/g4/) on AWS or [Standard_NC64as_T4_v3](https://learn.microsoft.com/en-us/azure/virtual-machines/nct4-v3-series) on Azure. MMF leverages [Pandas UDF](https://docs.databricks.com/en/udf/pandas.html) for distributing the inference tasks and utilizing all the available resource. +# MAGIC We recommend using a cluster with [Databricks Runtime 15.4 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/15.4lts-ml.html) or above. The cluster should be single-node with one or more GPU instances: e.g. [g4dn.12xlarge [T4]](https://aws.amazon.com/ec2/instance-types/g4/) on AWS or [Standard_NC64as_T4_v3](https://learn.microsoft.com/en-us/azure/virtual-machines/nct4-v3-series) on Azure. MMF leverages [Pandas UDF](https://docs.databricks.com/en/udf/pandas.html) for distributing the inference tasks and utilizing all the available resource. # COMMAND ---------- # MAGIC %md # MAGIC ### Install and import packages -# MAGIC Check out [requirements.txt](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/requirements.txt) if you're interested in the libraries we use. +# MAGIC Check out [requirements-global.txt](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/requirements-global.txt) if you're interested in the libraries we use. # COMMAND ---------- @@ -148,7 +148,7 @@ def transform_group(df): for model in active_models: dbutils.notebook.run( - "run_hourly", + "../run_hourly", timeout_seconds=0, arguments={"catalog": catalog, "db": db, "model": model, "run_id": run_id, "user": user}) @@ -189,4 +189,4 @@ def transform_group(df): # COMMAND ---------- -#display(spark.sql(f"delete from {catalog}.{db}.hourly_scoring_output")) \ No newline at end of file +#display(spark.sql(f"delete from {catalog}.{db}.hourly_scoring_output")) diff --git a/examples/global_hourly.py b/examples/hourly/global_hourly.py similarity index 92% rename from examples/global_hourly.py rename to examples/hourly/global_hourly.py index df65428..960cceb 100644 --- a/examples/global_hourly.py +++ b/examples/hourly/global_hourly.py @@ -1,20 +1,20 @@ # Databricks notebook source # MAGIC %md # MAGIC # Many Models Forecasting Demo -# MAGIC This notebook showcases how to run MMF with global models on multiple time series of hourly resolution. We will use [M4 competition](https://www.sciencedirect.com/science/article/pii/S0169207019301128#sec5) data. The descriptions here are mostly the same as the case with the [daily resolution](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/global_daily.py), so we will skip the redundant parts and focus only on the essentials. +# MAGIC This notebook showcases how to run MMF with global models on multiple time series of hourly resolution. We will use [M4 competition](https://www.sciencedirect.com/science/article/pii/S0169207019301128#sec5) data. The descriptions here are mostly the same as the case with the [daily resolution](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/daily/global_daily.py), so we will skip the redundant parts and focus only on the essentials. # COMMAND ---------- # MAGIC %md # MAGIC ### Cluster setup # MAGIC -# MAGIC We recommend using a cluster with [Databricks Runtime 14.3 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/14.3lts-ml.html) or above. The cluster should be single-node with one or more GPU instances: e.g. [g4dn.12xlarge [T4]](https://aws.amazon.com/ec2/instance-types/g4/) on AWS or [Standard_NC64as_T4_v3](https://learn.microsoft.com/en-us/azure/virtual-machines/nct4-v3-series) on Azure. +# MAGIC We recommend using a cluster with [Databricks Runtime 15.4 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/15.4lts-ml.html) or above. The cluster should be single-node with one or more GPU instances: e.g. [g4dn.12xlarge [T4]](https://aws.amazon.com/ec2/instance-types/g4/) on AWS or [Standard_NC64as_T4_v3](https://learn.microsoft.com/en-us/azure/virtual-machines/nct4-v3-series) on Azure. # COMMAND ---------- # MAGIC %md # MAGIC ### Install and import packages -# MAGIC Check out [requirements.txt](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/requirements.txt) if you're interested in the libraries we use. +# MAGIC Check out [requirements-global.txt](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/requirements-global.txt) if you're interested in the libraries we use. # COMMAND ---------- @@ -142,7 +142,7 @@ def transform_group(df): for model in active_models: dbutils.notebook.run( - "run_hourly", + "../run_hourly", timeout_seconds=0, arguments={"catalog": catalog, "db": db, "model": model, "run_id": run_id, "user": user}) @@ -183,4 +183,4 @@ def transform_group(df): # COMMAND ---------- -#display(spark.sql(f"delete from {catalog}.{db}.hourly_scoring_output")) \ No newline at end of file +#display(spark.sql(f"delete from {catalog}.{db}.hourly_scoring_output")) diff --git a/examples/local_univariate_hourly.py b/examples/hourly/local_univariate_hourly.py similarity index 95% rename from examples/local_univariate_hourly.py rename to examples/hourly/local_univariate_hourly.py index 1a63540..c3095fa 100644 --- a/examples/local_univariate_hourly.py +++ b/examples/hourly/local_univariate_hourly.py @@ -8,7 +8,7 @@ # MAGIC %md # MAGIC ### Cluster setup # MAGIC -# MAGIC We recommend using a cluster with [Databricks Runtime 14.3 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/14.3lts-ml.html) or above. The cluster can be either a single-node or multi-node CPU cluster. MMF leverages [Pandas UDF](https://docs.databricks.com/en/udf/pandas.html) under the hood and utilizes all the available resource. Make sure to set the following Spark configurations before you start your cluster: [`spark.sql.execution.arrow.enabled true`](https://spark.apache.org/docs/3.0.1/sql-pyspark-pandas-with-arrow.html#enabling-for-conversion-tofrom-pandas) and [`spark.sql.adaptive.enabled false`](https://spark.apache.org/docs/latest/sql-performance-tuning.html#adaptive-query-execution). You can do this by specifying [Spark configuration](https://docs.databricks.com/en/compute/configure.html#spark-configuration) in the advanced options on the cluster creation page. +# MAGIC We recommend using a cluster with [Databricks Runtime 15.4 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/15.4lts-ml.html) or above. The cluster can be either a single-node or multi-node CPU cluster. MMF leverages [Pandas UDF](https://docs.databricks.com/en/udf/pandas.html) under the hood and utilizes all the available resource. Make sure to set the following Spark configurations before you start your cluster: [`spark.sql.execution.arrow.enabled true`](https://spark.apache.org/docs/3.0.1/sql-pyspark-pandas-with-arrow.html#enabling-for-conversion-tofrom-pandas) and [`spark.sql.adaptive.enabled false`](https://spark.apache.org/docs/latest/sql-performance-tuning.html#adaptive-query-execution). You can do this by specifying [Spark configuration](https://docs.databricks.com/en/compute/configure.html#spark-configuration) in the advanced options on the cluster creation page. # COMMAND ---------- @@ -19,7 +19,7 @@ # COMMAND ---------- # DBTITLE 1,Install the necessary libraries -# MAGIC %pip install -r ../requirements.txt --quiet +# MAGIC %pip install -r ../../requirements.txt --quiet # MAGIC dbutils.library.restartPython() # COMMAND ---------- @@ -119,7 +119,9 @@ def transform_group(df): # COMMAND ---------- # MAGIC %md ### Models -# MAGIC Let's configure a list of models we are going to apply to our time series for evaluation and forecasting. A comprehensive list of all supported models is available in [mmf_sa/models/models_conf.yaml](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/mmf_sa/models/models_conf.yaml). Look for the models where `model_type: local`; these are the local models we import from [statsforecast](https://github.com/Nixtla/statsforecast). Check their documentations for the description of each model. **Note that hourly forecasting is currently not supported for `r fable` and `sktime` models.** +# MAGIC Let's configure a list of models we are going to apply to our time series for evaluation and forecasting. A comprehensive list of all supported models is available in [mmf_sa/models/models_conf.yaml](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/mmf_sa/models/models_conf.yaml). Look for the models where `model_type: local`; these are the local models we import from [statsforecast](https://github.com/Nixtla/statsforecast). Check their documentations for the description of each model. +# MAGIC +# MAGIC *Note that hourly forecasting is currently not supported for `r fable` and `sktime` models.* # COMMAND ---------- @@ -208,4 +210,4 @@ def transform_group(df): # COMMAND ---------- -#display(spark.sql(f"delete from {catalog}.{db}.hourly_scoring_output")) \ No newline at end of file +#display(spark.sql(f"delete from {catalog}.{db}.hourly_scoring_output")) diff --git a/examples/m5-examples/data_preparation_m5.py b/examples/m5/data_preparation_m5.py similarity index 100% rename from examples/m5-examples/data_preparation_m5.py rename to examples/m5/data_preparation_m5.py diff --git a/examples/m5-examples/foundation_daily_m5.py b/examples/m5/foundation_daily_m5.py similarity index 96% rename from examples/m5-examples/foundation_daily_m5.py rename to examples/m5/foundation_daily_m5.py index ec9f693..607ef3c 100644 --- a/examples/m5-examples/foundation_daily_m5.py +++ b/examples/m5/foundation_daily_m5.py @@ -14,7 +14,7 @@ catalog = "mmf" # Name of the catalog we use to manage our assets db = "m5" # Name of the schema we use to manage our assets (e.g. datasets) -n = 100 # Number of items: choose from [100, 1000, 10000, 'full']. full is 35k +n = 1000 # Number of items: choose from [100, 1000, 10000, 'full']. full is 35k table = f"daily_train_{n}" # Training table name user = spark.sql('select current_user() as user').collect()[0]['user'] # User email diff --git a/examples/m5-examples/global_daily_m5.py b/examples/m5/global_daily_m5.py similarity index 87% rename from examples/m5-examples/global_daily_m5.py rename to examples/m5/global_daily_m5.py index 5c28f69..a020d2a 100644 --- a/examples/m5-examples/global_daily_m5.py +++ b/examples/m5/global_daily_m5.py @@ -14,7 +14,7 @@ catalog = "mmf" # Name of the catalog we use to manage our assets db = "m5" # Name of the schema we use to manage our assets (e.g. datasets) -n = 100 # Number of items: choose from [100, 1000, 10000, 'full']. full is 35k +n = 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+decoder_hidden_size: 100 +decoder_layers: 2 +devices: -1 +drop_last_loader: false +early_stop_patience_steps: -1 +encoder_activation: tanh +encoder_bias: true +encoder_dropout: 0.0 +encoder_hidden_size: 100 +encoder_n_layers: 2 +futr_exog_list: [] +h: 28 +hist_exog_list: [] +inference_input_size: -1 +input_size: 56 +learning_rate: 0.001 +loss: !!python/object:neuralforecast.losses.pytorch.SMAPE + _backward_hooks: !!python/object/apply:collections.OrderedDict + - [] + _backward_pre_hooks: !!python/object/apply:collections.OrderedDict + - [] + _buffers: !!python/object/apply:collections.OrderedDict + - [] + _forward_hooks: !!python/object/apply:collections.OrderedDict + - [] + _forward_hooks_always_called: !!python/object/apply:collections.OrderedDict + - [] + _forward_hooks_with_kwargs: !!python/object/apply:collections.OrderedDict + - [] + _forward_pre_hooks: !!python/object/apply:collections.OrderedDict + - [] + _forward_pre_hooks_with_kwargs: 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!!python/object/apply:collections.OrderedDict + - [] + horizon_weight: null + is_distribution_output: false + output_names: + - '' + outputsize_multiplier: 1 + training: true +max_steps: 500 +mlp_units: +- - 512 + - 512 +- - 512 + - 512 +- - 512 + - 512 +n_blocks: +- 1 +- 1 +- 1 +n_freq_downsample: +- 4 +- 2 +- 1 +n_pool_kernel_size: +- 2 +- 2 +- 1 +num_lr_decays: 3 +num_workers_loader: 0 +optimizer: null +optimizer_kwargs: null +pooling_mode: MaxPool1d +random_seed: 1 +scaler_type: robust +stack_types: +- identity +- identity +- identity +start_padding_enabled: false +stat_exog_list: [] +step_size: 1 +val_check_steps: 100 +valid_batch_size: null +valid_loss: null +windows_batch_size: 1024 diff --git a/examples/m5/lightning_logs/version_106/events.out.tfevents.1736841533.0124-101655-9l2fggt9-10-0-13-137.88031.0 b/examples/m5/lightning_logs/version_106/events.out.tfevents.1736841533.0124-101655-9l2fggt9-10-0-13-137.88031.0 new file mode 100644 index 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+decoder_layers: 2 +devices: -1 +drop_last_loader: false +early_stop_patience_steps: -1 +encoder_activation: tanh +encoder_bias: true +encoder_dropout: 0.0 +encoder_hidden_size: 100 +encoder_n_layers: 2 +futr_exog_list: [] +h: 28 +hist_exog_list: [] +inference_input_size: -1 +input_size: 56 +learning_rate: 0.001 +loss: !!python/object:neuralforecast.losses.pytorch.SMAPE + _backward_hooks: !!python/object/apply:collections.OrderedDict + - [] + _backward_pre_hooks: !!python/object/apply:collections.OrderedDict + - [] + _buffers: !!python/object/apply:collections.OrderedDict + - [] + _forward_hooks: !!python/object/apply:collections.OrderedDict + - [] + _forward_hooks_always_called: !!python/object/apply:collections.OrderedDict + - [] + _forward_hooks_with_kwargs: !!python/object/apply:collections.OrderedDict + - [] + _forward_pre_hooks: !!python/object/apply:collections.OrderedDict + - [] + _forward_pre_hooks_with_kwargs: !!python/object/apply:collections.OrderedDict + - [] + 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!!python/object/apply:collections.OrderedDict + - [] + horizon_weight: null + is_distribution_output: false + output_names: + - '' + outputsize_multiplier: 1 + training: true +max_steps: 500 +mlp_units: +- - 512 + - 512 +- - 512 + - 512 +- - 512 + - 512 +n_blocks: +- 1 +- 1 +- 1 +n_freq_downsample: +- 4 +- 2 +- 1 +n_pool_kernel_size: +- 2 +- 2 +- 1 +num_lr_decays: 3 +num_workers_loader: 0 +optimizer: null +optimizer_kwargs: null +pooling_mode: MaxPool1d +random_seed: 1 +scaler_type: robust +stack_types: +- identity +- identity +- identity +start_padding_enabled: false +stat_exog_list: [] +step_size: 1 +val_check_steps: 100 +valid_batch_size: null +valid_loss: null +windows_batch_size: 1024 diff --git a/examples/m5/lightning_logs/version_53/events.out.tfevents.1718130355.0124-101655-9l2fggt9-10-0-43-14.48549.0 b/examples/m5/lightning_logs/version_53/events.out.tfevents.1718130355.0124-101655-9l2fggt9-10-0-43-14.48549.0 new file mode 100644 index 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!!python/object:neuralforecast.losses.pytorch.SMAPE + _backward_hooks: !!python/object/apply:collections.OrderedDict + - [] + _backward_pre_hooks: !!python/object/apply:collections.OrderedDict + - [] + _buffers: !!python/object/apply:collections.OrderedDict + - [] + _forward_hooks: !!python/object/apply:collections.OrderedDict + - [] + _forward_hooks_always_called: !!python/object/apply:collections.OrderedDict + - [] + _forward_hooks_with_kwargs: !!python/object/apply:collections.OrderedDict + - [] + _forward_pre_hooks: !!python/object/apply:collections.OrderedDict + - [] + _forward_pre_hooks_with_kwargs: !!python/object/apply:collections.OrderedDict + - [] + _is_full_backward_hook: null + _load_state_dict_post_hooks: !!python/object/apply:collections.OrderedDict + - [] + _load_state_dict_pre_hooks: !!python/object/apply:collections.OrderedDict + - [] + _modules: !!python/object/apply:collections.OrderedDict + - [] + _non_persistent_buffers_set: !!set {} + _parameters: 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a/examples/m5/lightning_logs/version_78/hparams.yaml b/examples/m5/lightning_logs/version_78/hparams.yaml new file mode 100644 index 0000000..8c3ac73 --- /dev/null +++ b/examples/m5/lightning_logs/version_78/hparams.yaml @@ -0,0 +1,67 @@ +accelerator: gpu +alias: null +batch_size: 32 +context_size: 10 +decoder_hidden_size: 100 +decoder_layers: 2 +devices: -1 +drop_last_loader: false +early_stop_patience_steps: -1 +encoder_bias: true +encoder_dropout: 0.0 +encoder_hidden_size: 100 +encoder_n_layers: 2 +futr_exog_list: [] +h: 28 +hist_exog_list: [] +inference_input_size: -1 +input_size: 56 +learning_rate: 0.001 +loss: !!python/object:neuralforecast.losses.pytorch.SMAPE + _backward_hooks: !!python/object/apply:collections.OrderedDict + - [] + _backward_pre_hooks: !!python/object/apply:collections.OrderedDict + - [] + _buffers: !!python/object/apply:collections.OrderedDict + - [] + _forward_hooks: !!python/object/apply:collections.OrderedDict + - [] + _forward_hooks_always_called: !!python/object/apply:collections.OrderedDict + - [] + _forward_hooks_with_kwargs: !!python/object/apply:collections.OrderedDict + - [] + _forward_pre_hooks: !!python/object/apply:collections.OrderedDict + - [] + _forward_pre_hooks_with_kwargs: !!python/object/apply:collections.OrderedDict + - [] + _is_full_backward_hook: null + _load_state_dict_post_hooks: !!python/object/apply:collections.OrderedDict + - [] + _load_state_dict_pre_hooks: !!python/object/apply:collections.OrderedDict + - [] + _modules: !!python/object/apply:collections.OrderedDict + - [] + _non_persistent_buffers_set: !!set {} + _parameters: !!python/object/apply:collections.OrderedDict + - [] + _state_dict_hooks: !!python/object/apply:collections.OrderedDict + - [] + _state_dict_pre_hooks: !!python/object/apply:collections.OrderedDict + - [] + horizon_weight: null + is_distribution_output: false + output_names: + - '' + outputsize_multiplier: 1 + training: true +max_steps: 500 +num_lr_decays: -1 +num_workers_loader: 0 +optimizer: null +optimizer_kwargs: null +random_seed: 1 +scaler_type: robust +stat_exog_list: [] +val_check_steps: 100 +valid_batch_size: null +valid_loss: null diff --git a/examples/m5/lightning_logs/version_79/events.out.tfevents.1736841130.0124-101655-9l2fggt9-10-0-13-137.56825.0 b/examples/m5/lightning_logs/version_79/events.out.tfevents.1736841130.0124-101655-9l2fggt9-10-0-13-137.56825.0 new file mode 100644 index 0000000000000000000000000000000000000000..c6c638ca888349c4f20aa670a029ca0b598915e4 GIT binary patch literal 52010 zcmaLgbwCx%!~gLW1qBmq6uY}y2hLz&Ub_(q#h_I%*Fr=P0|ikO3%dhFknTnd6ay0z zJHYrIzjN=-e(rPU_x$sHg!4YHGqWdlXZLW2NbLW9Z5u;6%XNkMX2z9gxmejd zbQrkE*1@e$moXg-+PT>}xH`Jba>EOC>!2&B6j}D7n?A>f#I@tcXm8G5id|ONQ zldZ$Ohnf6+zcV{NXsT~|FzkQ#+s4SCnt}ctC(8x4ZZ7uLH6=-onvne}Vyh0jb-m{s zqx8Ss`}@Y8x&~`>4Qg1%II!6qub@0 zR5hsRV&!1txWLlY*4Cy`*(MbX%FTClb!}9pNfiTwMOO3eZ7l!(cVz>8M<+M?1@=p9 zU9`WhVNgx^r{%oGRxY#uL`DWx>=wGYSlYTf&bFLy@9M^WHb?va{rhLGZdUj+EwI4K 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!!python/object/apply:collections.OrderedDict + - [] + _forward_hooks: !!python/object/apply:collections.OrderedDict + - [] + _forward_hooks_always_called: !!python/object/apply:collections.OrderedDict + - [] + _forward_hooks_with_kwargs: !!python/object/apply:collections.OrderedDict + - [] + _forward_pre_hooks: !!python/object/apply:collections.OrderedDict + - [] + _forward_pre_hooks_with_kwargs: !!python/object/apply:collections.OrderedDict + - [] + _is_full_backward_hook: null + _load_state_dict_post_hooks: !!python/object/apply:collections.OrderedDict + - [] + _load_state_dict_pre_hooks: !!python/object/apply:collections.OrderedDict + - [] + _modules: !!python/object/apply:collections.OrderedDict + - [] + _non_persistent_buffers_set: !!set {} + _parameters: !!python/object/apply:collections.OrderedDict + - [] + _state_dict_hooks: !!python/object/apply:collections.OrderedDict + - [] + _state_dict_pre_hooks: !!python/object/apply:collections.OrderedDict + - [] + horizon_weight: null + is_distribution_output: false + output_names: + - '' + outputsize_multiplier: 1 + training: true +max_steps: 500 +mlp_units: +- - 512 + - 512 +- - 512 + - 512 +- - 512 + - 512 +n_blocks: +- 1 +- 1 +- 1 +n_harmonics: 2 +n_polynomials: 2 +num_lr_decays: 3 +num_workers_loader: 0 +optimizer: null +optimizer_kwargs: null +random_seed: 1 +scaler_type: robust +shared_weights: false +stack_types: +- identity +- trend +- seasonality +start_padding_enabled: false +stat_exog_list: [] +step_size: 1 +val_check_steps: 100 +valid_batch_size: null +valid_loss: null +windows_batch_size: 1024 diff --git a/examples/m5/lightning_logs/version_92/events.out.tfevents.1736841324.0124-101655-9l2fggt9-10-0-13-137.77581.0 b/examples/m5/lightning_logs/version_92/events.out.tfevents.1736841324.0124-101655-9l2fggt9-10-0-13-137.77581.0 new file mode 100644 index 0000000000000000000000000000000000000000..d29e0dc63d8588bf49768862b4eb764222aa75e9 GIT binary patch literal 52294 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+ _forward_pre_hooks: !!python/object/apply:collections.OrderedDict + - [] + _forward_pre_hooks_with_kwargs: !!python/object/apply:collections.OrderedDict + - [] + _is_full_backward_hook: null + _load_state_dict_post_hooks: !!python/object/apply:collections.OrderedDict + - [] + _load_state_dict_pre_hooks: !!python/object/apply:collections.OrderedDict + - [] + _modules: !!python/object/apply:collections.OrderedDict + - [] + _non_persistent_buffers_set: !!set {} + _parameters: !!python/object/apply:collections.OrderedDict + - [] + _state_dict_hooks: !!python/object/apply:collections.OrderedDict + - [] + _state_dict_pre_hooks: !!python/object/apply:collections.OrderedDict + - [] + horizon_weight: null + is_distribution_output: false + output_names: + - '' + outputsize_multiplier: 1 + training: true +max_steps: 500 +mlp_units: +- - 512 + - 512 +- - 512 + - 512 +- - 512 + - 512 +n_blocks: +- 1 +- 1 +- 1 +n_harmonics: 2 +n_polynomials: 2 +num_lr_decays: 3 +num_workers_loader: 0 +optimizer: 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+++ b/examples/m5/lightning_logs/version_99/hparams.yaml @@ -0,0 +1,84 @@ +accelerator: gpu +activation: ReLU +alias: null +batch_size: 32 +devices: -1 +drop_last_loader: false +dropout_prob_theta: 0.0 +early_stop_patience_steps: -1 +exclude_insample_y: false +futr_exog_list: [] +h: 28 +hist_exog_list: [] +inference_windows_batch_size: -1 +input_size: 56 +learning_rate: 0.001 +loss: !!python/object:neuralforecast.losses.pytorch.SMAPE + _backward_hooks: !!python/object/apply:collections.OrderedDict + - [] + _backward_pre_hooks: !!python/object/apply:collections.OrderedDict + - [] + _buffers: !!python/object/apply:collections.OrderedDict + - [] + _forward_hooks: !!python/object/apply:collections.OrderedDict + - [] + _forward_hooks_always_called: !!python/object/apply:collections.OrderedDict + - [] + _forward_hooks_with_kwargs: !!python/object/apply:collections.OrderedDict + - [] + _forward_pre_hooks: !!python/object/apply:collections.OrderedDict + - [] + _forward_pre_hooks_with_kwargs: !!python/object/apply:collections.OrderedDict + - [] + _is_full_backward_hook: null + _load_state_dict_post_hooks: !!python/object/apply:collections.OrderedDict + - [] + _load_state_dict_pre_hooks: !!python/object/apply:collections.OrderedDict + - [] + _modules: !!python/object/apply:collections.OrderedDict + - [] + _non_persistent_buffers_set: !!set {} + _parameters: !!python/object/apply:collections.OrderedDict + - [] + _state_dict_hooks: !!python/object/apply:collections.OrderedDict + - [] + _state_dict_pre_hooks: !!python/object/apply:collections.OrderedDict + - [] + horizon_weight: null + is_distribution_output: false + output_names: + - '' + outputsize_multiplier: 1 + training: true +max_steps: 500 +mlp_units: +- - 512 + - 512 +- - 512 + - 512 +- - 512 + - 512 +n_blocks: +- 1 +- 1 +- 1 +n_harmonics: 2 +n_polynomials: 2 +num_lr_decays: 3 +num_workers_loader: 0 +optimizer: null +optimizer_kwargs: null +random_seed: 1 +scaler_type: robust +shared_weights: false +stack_types: +- identity +- trend +- seasonality +start_padding_enabled: false +stat_exog_list: [] +step_size: 1 +val_check_steps: 100 +valid_batch_size: null +valid_loss: null +windows_batch_size: 1024 diff --git a/examples/m5-examples/local_univariate_daily_m5.py b/examples/m5/local_univariate_daily_m5.py similarity index 87% rename from examples/m5-examples/local_univariate_daily_m5.py rename to examples/m5/local_univariate_daily_m5.py index fe006e0..921795d 100644 --- a/examples/m5-examples/local_univariate_daily_m5.py +++ b/examples/m5/local_univariate_daily_m5.py @@ -22,17 +22,17 @@ db = "m5" # Name of the schema we use to manage our assets (e.g. datasets) user = spark.sql('select current_user() as user').collect()[0]['user'] # User email address -n = 100 # Number of items: choose from [1000, 10000, 'full']. full is 35k +n = 1000 # Number of items: choose from [1000, 10000, 'full']. full is 35k taining_table = f"daily_train_{n}" # COMMAND ---------- -# MAGIC display( -# MAGIC spark.sql(f""" -# MAGIC select * from {catalog}.{db}.{taining_table} -# MAGIC where unique_id in ('FOODS_1_001_WI_1', 'FOODS_1_004_TX_2', 'FOODS_1_006_WI_1', 'FOODS_1_008_CA_3', 'FOODS_1_012_WI_1') -# MAGIC order by unique_id, ds -# MAGIC """)) +display( + spark.sql(f""" + select * from {catalog}.{db}.{taining_table} + where unique_id in ('FOODS_1_001_WI_1', 'FOODS_1_004_TX_2', 'FOODS_1_006_WI_1', 'FOODS_1_008_CA_3', 'FOODS_1_012_WI_1') + order by unique_id, ds + """)) # COMMAND ---------- diff --git a/examples/m5-examples/run_daily_m5.py b/examples/m5/run_daily_m5.py similarity index 100% rename from examples/m5-examples/run_daily_m5.py rename to examples/m5/run_daily_m5.py diff --git a/examples/foundation_monthly.py b/examples/monthly/foundation_monthly.py similarity index 92% rename from examples/foundation_monthly.py rename to examples/monthly/foundation_monthly.py index 6bbf154..249c9ae 100644 --- a/examples/foundation_monthly.py +++ b/examples/monthly/foundation_monthly.py @@ -1,20 +1,20 @@ # Databricks notebook source # MAGIC %md # MAGIC # Many Models Forecasting Demo -# MAGIC This notebook showcases how to run MMF with foundation models on multiple time series of monthly resolution. We will use [M4 competition](https://www.sciencedirect.com/science/article/pii/S0169207019301128#sec5) data. The descriptions here are mostly the same as the case with the [daily resolution](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/foundation_daily.py), so we will skip the redundant parts and focus only on the essentials. +# MAGIC This notebook showcases how to run MMF with foundation models on multiple time series of monthly resolution. We will use [M4 competition](https://www.sciencedirect.com/science/article/pii/S0169207019301128#sec5) data. The descriptions here are mostly the same as the case with the [daily resolution](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/daily/foundation_daily.py), so we will skip the redundant parts and focus only on the essentials. # COMMAND ---------- # MAGIC %md # MAGIC ### Cluster setup # MAGIC -# MAGIC We recommend using a cluster with [Databricks Runtime 14.3 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/14.3lts-ml.html) or above. The cluster should be single-node with one or more GPU instances: e.g. [g4dn.12xlarge [T4]](https://aws.amazon.com/ec2/instance-types/g4/) on AWS or [Standard_NC64as_T4_v3](https://learn.microsoft.com/en-us/azure/virtual-machines/nct4-v3-series) on Azure. MMF leverages [Pandas UDF](https://docs.databricks.com/en/udf/pandas.html) for distributing the inference tasks and utilizing all the available resource. +# MAGIC We recommend using a cluster with [Databricks Runtime 15.4 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/15.4lts-ml.html) or above. The cluster should be single-node with one or more GPU instances: e.g. [g4dn.12xlarge [T4]](https://aws.amazon.com/ec2/instance-types/g4/) on AWS or [Standard_NC64as_T4_v3](https://learn.microsoft.com/en-us/azure/virtual-machines/nct4-v3-series) on Azure. MMF leverages [Pandas UDF](https://docs.databricks.com/en/udf/pandas.html) for distributing the inference tasks and utilizing all the available resource. # COMMAND ---------- # MAGIC %md # MAGIC ### Install and import packages -# MAGIC Check out [requirements.txt](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/requirements.txt) if you're interested in the libraries we use. +# MAGIC Check out [requirements-global.txt](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/requirements-global.txt) if you're interested in the libraries we use. # COMMAND ---------- @@ -79,7 +79,7 @@ def transform_group(df): # COMMAND ---------- # MAGIC %md -# MAGIC We are going to save this data in a delta lake table. Provide catalog and database names where you want to store the data.__ +# MAGIC We are going to save this data in a delta lake table. Provide catalog and database names where you want to store the data. # COMMAND ---------- @@ -157,7 +157,7 @@ def transform_group(df): for model in active_models: dbutils.notebook.run( - "run_monthly", + "../run_monthly", timeout_seconds=0, arguments={"catalog": catalog, "db": db, "model": model, "run_id": run_id, "user": user}) diff --git a/examples/global_monthly.py b/examples/monthly/global_monthly.py similarity index 92% rename from examples/global_monthly.py rename to examples/monthly/global_monthly.py index 236933c..78d072c 100644 --- a/examples/global_monthly.py +++ b/examples/monthly/global_monthly.py @@ -1,20 +1,20 @@ # Databricks notebook source # MAGIC %md # MAGIC # Many Models Forecasting Demo -# MAGIC This notebook showcases how to run MMF with global models on multiple time series of monthly resolution. We will use [M4 competition](https://www.sciencedirect.com/science/article/pii/S0169207019301128#sec5) data. The descriptions here are mostly the same as the case with the [daily resolution](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/global_daily.py), so we will skip the redundant parts and focus only on the essentials. +# MAGIC This notebook showcases how to run MMF with global models on multiple time series of monthly resolution. We will use [M4 competition](https://www.sciencedirect.com/science/article/pii/S0169207019301128#sec5) data. The descriptions here are mostly the same as the case with the [daily resolution](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/daily/global_daily.py), so we will skip the redundant parts and focus only on the essentials. # COMMAND ---------- # MAGIC %md # MAGIC ### Cluster setup # MAGIC -# MAGIC We recommend using a cluster with [Databricks Runtime 14.3 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/14.3lts-ml.html) or above. The cluster should be single-node with one or more GPU instances: e.g. [g4dn.12xlarge [T4]](https://aws.amazon.com/ec2/instance-types/g4/) on AWS or [Standard_NC64as_T4_v3](https://learn.microsoft.com/en-us/azure/virtual-machines/nct4-v3-series) on Azure. +# MAGIC We recommend using a cluster with [Databricks Runtime 15.4 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/15.4lts-ml.html) or above. The cluster should be single-node with one or more GPU instances: e.g. [g4dn.12xlarge [T4]](https://aws.amazon.com/ec2/instance-types/g4/) on AWS or [Standard_NC64as_T4_v3](https://learn.microsoft.com/en-us/azure/virtual-machines/nct4-v3-series) on Azure. # COMMAND ---------- # MAGIC %md # MAGIC ### Install and import packages -# MAGIC Check out [requirements.txt](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/requirements.txt) if you're interested in the libraries we use. +# MAGIC Check out [requirements-global.txt](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/requirements-global.txt) if you're interested in the libraries we use. # COMMAND ---------- @@ -151,7 +151,7 @@ def transform_group(df): for model in active_models: dbutils.notebook.run( - "run_monthly", + "../run_monthly", timeout_seconds=0, arguments={"catalog": catalog, "db": db, "model": model, "run_id": run_id, "user": user}) diff --git a/examples/local_univariate_monthly.py b/examples/monthly/local_univariate_monthly.py similarity index 95% rename from examples/local_univariate_monthly.py rename to examples/monthly/local_univariate_monthly.py index a6d6a9d..b2459eb 100644 --- a/examples/local_univariate_monthly.py +++ b/examples/monthly/local_univariate_monthly.py @@ -2,14 +2,14 @@ # MAGIC %md # MAGIC # Many Models Forecasting Demo # MAGIC -# MAGIC This notebook showcases how to run MMF with local models on multiple univariate time series of monthly resolution. We will use [M4 competition](https://www.sciencedirect.com/science/article/pii/S0169207019301128#sec5) data. The descriptions here are mostly the same as the case with the [daily resolution](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/local_univariate_daily.py), so we will skip the redundant parts and focus only on the essentials. +# MAGIC This notebook showcases how to run MMF with local models on multiple univariate time series of monthly resolution. We will use [M4 competition](https://www.sciencedirect.com/science/article/pii/S0169207019301128#sec5) data. The descriptions here are mostly the same as the case with the [daily resolution](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/daily/local_univariate_daily.py), so we will skip the redundant parts and focus only on the essentials. # COMMAND ---------- # MAGIC %md # MAGIC ### Cluster setup # MAGIC -# MAGIC We recommend using a cluster with [Databricks Runtime 14.3 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/14.3lts-ml.html) or above. The cluster can be either a single-node or multi-node CPU cluster. Make sure to set the following Spark configurations before you start your cluster: [`spark.sql.execution.arrow.enabled true`](https://spark.apache.org/docs/3.0.1/sql-pyspark-pandas-with-arrow.html#enabling-for-conversion-tofrom-pandas) and [`spark.sql.adaptive.enabled false`](https://spark.apache.org/docs/latest/sql-performance-tuning.html#adaptive-query-execution). You can do this by specifying [Spark configuration](https://docs.databricks.com/en/compute/configure.html#spark-configuration) in the advanced options on the cluster creation page. +# MAGIC We recommend using a cluster with [Databricks Runtime 15.4 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/15.4lts-ml.html) or above. The cluster can be either a single-node or multi-node CPU cluster. Make sure to set the following Spark configurations before you start your cluster: [`spark.sql.execution.arrow.enabled true`](https://spark.apache.org/docs/3.0.1/sql-pyspark-pandas-with-arrow.html#enabling-for-conversion-tofrom-pandas) and [`spark.sql.adaptive.enabled false`](https://spark.apache.org/docs/latest/sql-performance-tuning.html#adaptive-query-execution). You can do this by specifying [Spark configuration](https://docs.databricks.com/en/compute/configure.html#spark-configuration) in the advanced options on the cluster creation page. # COMMAND ---------- @@ -19,7 +19,7 @@ # COMMAND ---------- # DBTITLE 1,Install the necessary libraries -# MAGIC %pip install -r ../requirements.txt --quiet +# MAGIC %pip install -r ../../requirements.txt --quiet # MAGIC dbutils.library.restartPython() # COMMAND ---------- diff --git a/examples/foundation_weekly.py b/examples/weekly/foundation_weekly.py similarity index 92% rename from examples/foundation_weekly.py rename to examples/weekly/foundation_weekly.py index 3dfd3b4..aecd9ea 100644 --- a/examples/foundation_weekly.py +++ b/examples/weekly/foundation_weekly.py @@ -1,20 +1,20 @@ # Databricks notebook source # MAGIC %md # MAGIC # Many Models Forecasting Demo -# MAGIC This notebook showcases how to run MMF with foundation models on multiple time series of weekly resolution. We will use [M4 competition](https://www.sciencedirect.com/science/article/pii/S0169207019301128#sec5) data. The descriptions here are mostly the same as the case with the [daily resolution](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/foundation_daily.py), so we will skip the redundant parts and focus only on the essentials. +# MAGIC This notebook showcases how to run MMF with foundation models on multiple time series of weekly resolution. We will use [M4 competition](https://www.sciencedirect.com/science/article/pii/S0169207019301128#sec5) data. The descriptions here are mostly the same as the case with the [daily resolution](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/daily/foundation_daily.py), so we will skip the redundant parts and focus only on the essentials. # COMMAND ---------- # MAGIC %md # MAGIC ### Cluster setup # MAGIC -# MAGIC We recommend using a cluster with [Databricks Runtime 14.3 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/14.3lts-ml.html) or above. The cluster should be single-node with one or more GPU instances: e.g. [g4dn.12xlarge [T4]](https://aws.amazon.com/ec2/instance-types/g4/) on AWS or [Standard_NC64as_T4_v3](https://learn.microsoft.com/en-us/azure/virtual-machines/nct4-v3-series) on Azure. MMF leverages [Pandas UDF](https://docs.databricks.com/en/udf/pandas.html) for distributing the inference tasks and utilizing all the available resource. +# MAGIC We recommend using a cluster with [Databricks Runtime 15.4 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/15.4lts-ml.html) or above. The cluster should be single-node with one or more GPU instances: e.g. [g4dn.12xlarge [T4]](https://aws.amazon.com/ec2/instance-types/g4/) on AWS or [Standard_NC64as_T4_v3](https://learn.microsoft.com/en-us/azure/virtual-machines/nct4-v3-series) on Azure. MMF leverages [Pandas UDF](https://docs.databricks.com/en/udf/pandas.html) for distributing the inference tasks and utilizing all the available resource. # COMMAND ---------- # MAGIC %md # MAGIC ### Install and import packages -# MAGIC Check out [requirements.txt](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/requirements.txt) if you're interested in the libraries we use. +# MAGIC Check out [requirements-global.txt](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/requirements-global.txt) if you're interested in the libraries we use. # COMMAND ---------- @@ -75,7 +75,7 @@ def transform_group(df): # COMMAND ---------- # MAGIC %md -# MAGIC We are going to save this data in a delta lake table. Provide catalog and database names where you want to store the data.__ +# MAGIC We are going to save this data in a delta lake table. Provide catalog and database names where you want to store the data. # COMMAND ---------- @@ -148,7 +148,7 @@ def transform_group(df): for model in active_models: dbutils.notebook.run( - "run_weekly", + "../run_weekly", timeout_seconds=0, arguments={"catalog": catalog, "db": db, "model": model, "run_id": run_id, "user": user}) @@ -189,4 +189,4 @@ def transform_group(df): # COMMAND ---------- -#display(spark.sql(f"delete from {catalog}.{db}.weekly_scoring_output")) \ No newline at end of file +#display(spark.sql(f"delete from {catalog}.{db}.weekly_scoring_output")) diff --git a/examples/global_weekly.py b/examples/weekly/global_weekly.py similarity index 92% rename from examples/global_weekly.py rename to examples/weekly/global_weekly.py index 4302fd8..d0ae5fb 100644 --- a/examples/global_weekly.py +++ b/examples/weekly/global_weekly.py @@ -1,20 +1,20 @@ # Databricks notebook source # MAGIC %md # MAGIC # Many Models Forecasting Demo -# MAGIC This notebook showcases how to run MMF with global models on multiple time series of weekly resolution. We will use [M4 competition](https://www.sciencedirect.com/science/article/pii/S0169207019301128#sec5) data. The descriptions here are mostly the same as the case with the [daily resolution](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/global_daily.py), so we will skip the redundant parts and focus only on the essentials. +# MAGIC This notebook showcases how to run MMF with global models on multiple time series of weekly resolution. We will use [M4 competition](https://www.sciencedirect.com/science/article/pii/S0169207019301128#sec5) data. The descriptions here are mostly the same as the case with the [daily resolution](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/daily/global_daily.py), so we will skip the redundant parts and focus only on the essentials. # COMMAND ---------- # MAGIC %md # MAGIC ### Cluster setup # MAGIC -# MAGIC We recommend using a cluster with [Databricks Runtime 14.3 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/14.3lts-ml.html) or above. The cluster should be single-node with one or more GPU instances: e.g. [g4dn.12xlarge [T4]](https://aws.amazon.com/ec2/instance-types/g4/) on AWS or [Standard_NC64as_T4_v3](https://learn.microsoft.com/en-us/azure/virtual-machines/nct4-v3-series) on Azure. +# MAGIC We recommend using a cluster with [Databricks Runtime 15.4 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/15.4lts-ml.html) or above. The cluster should be single-node with one or more GPU instances: e.g. [g4dn.12xlarge [T4]](https://aws.amazon.com/ec2/instance-types/g4/) on AWS or [Standard_NC64as_T4_v3](https://learn.microsoft.com/en-us/azure/virtual-machines/nct4-v3-series) on Azure. # COMMAND ---------- # MAGIC %md # MAGIC ### Install and import packages -# MAGIC Check out [requirements.txt](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/requirements.txt) if you're interested in the libraries we use. +# MAGIC Check out [requirements-global.txt](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/requirements-global.txt) if you're interested in the libraries we use. # COMMAND ---------- @@ -75,7 +75,7 @@ def transform_group(df): # COMMAND ---------- # MAGIC %md -# MAGIC We are going to save this data in a delta lake table. Provide catalog and database names where you want to store the data.__ +# MAGIC We are going to save this data in a delta lake table. Provide catalog and database names where you want to store the data. # COMMAND ---------- @@ -142,7 +142,7 @@ def transform_group(df): for model in active_models: dbutils.notebook.run( - "run_weekly", + "../run_weekly", timeout_seconds=0, arguments={"catalog": catalog, "db": db, "model": model, "run_id": run_id, "user": user}) @@ -183,4 +183,4 @@ def transform_group(df): # COMMAND ---------- -#display(spark.sql(f"delete from {catalog}.{db}.weekly_scoring_output")) \ No newline at end of file +#display(spark.sql(f"delete from {catalog}.{db}.weekly_scoring_output")) diff --git a/examples/local_univariate_weekly.py b/examples/weekly/local_univariate_weekly.py similarity index 96% rename from examples/local_univariate_weekly.py rename to examples/weekly/local_univariate_weekly.py index 2a7235d..87e58b8 100644 --- a/examples/local_univariate_weekly.py +++ b/examples/weekly/local_univariate_weekly.py @@ -8,7 +8,7 @@ # MAGIC %md # MAGIC ### Cluster setup # MAGIC -# MAGIC We recommend using a cluster with [Databricks Runtime 14.3 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/14.3lts-ml.html) or above. The cluster can be either a single-node or multi-node CPU cluster. MMF leverages [Pandas UDF](https://docs.databricks.com/en/udf/pandas.html) under the hood and utilizes all the available resource. Make sure to set the following Spark configurations before you start your cluster: [`spark.sql.execution.arrow.enabled true`](https://spark.apache.org/docs/3.0.1/sql-pyspark-pandas-with-arrow.html#enabling-for-conversion-tofrom-pandas) and [`spark.sql.adaptive.enabled false`](https://spark.apache.org/docs/latest/sql-performance-tuning.html#adaptive-query-execution). You can do this by specifying [Spark configuration](https://docs.databricks.com/en/compute/configure.html#spark-configuration) in the advanced options on the cluster creation page. +# MAGIC We recommend using a cluster with [Databricks Runtime 15.4 LTS for ML](https://docs.databricks.com/en/release-notes/runtime/15.4lts-ml.html) or above. The cluster can be either a single-node or multi-node CPU cluster. MMF leverages [Pandas UDF](https://docs.databricks.com/en/udf/pandas.html) under the hood and utilizes all the available resource. Make sure to set the following Spark configurations before you start your cluster: [`spark.sql.execution.arrow.enabled true`](https://spark.apache.org/docs/3.0.1/sql-pyspark-pandas-with-arrow.html#enabling-for-conversion-tofrom-pandas) and [`spark.sql.adaptive.enabled false`](https://spark.apache.org/docs/latest/sql-performance-tuning.html#adaptive-query-execution). You can do this by specifying [Spark configuration](https://docs.databricks.com/en/compute/configure.html#spark-configuration) in the advanced options on the cluster creation page. # COMMAND ---------- @@ -19,7 +19,7 @@ # COMMAND ---------- # DBTITLE 1,Install the necessary libraries -# MAGIC %pip install -r ../requirements.txt --quiet +# MAGIC %pip install -r ../../requirements.txt --quiet # MAGIC dbutils.library.restartPython() # COMMAND ---------- @@ -221,4 +221,4 @@ def transform_group(df): # COMMAND ---------- -#display(spark.sql(f"delete from {catalog}.{db}.weekly_scoring_output")) \ No newline at end of file +#display(spark.sql(f"delete from {catalog}.{db}.weekly_scoring_output"))