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fix convert signature #80

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merged 2 commits into from
Oct 3, 2024
Merged

fix convert signature #80

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fdc5925
fix convert signature
GabrielGimenez Oct 3, 2024
8a4632f
bump version
GabrielGimenez Oct 3, 2024
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2 changes: 1 addition & 1 deletion README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -409,7 +409,7 @@ To cite this repository:
author = {Davi Vieira and Gabriel Gimenez and Guilherme Marmerola and Vitor Estima},
title = {XGBoost Survival Embeddings: improving statistical properties of XGBoost survival analysis implementation},
url = {http://github.com/loft-br/xgboost-survival-embeddings},
version = {0.3.2},
version = {0.3.3},
year = {2021},
}
```
2 changes: 1 addition & 1 deletion pyproject.toml
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@@ -1,6 +1,6 @@
[tool.poetry]
name = "xgbse"
version = "0.3.2"
version = "0.3.3"
description = "Improving XGBoost survival analysis with embeddings and debiased estimators"
authors = ["Loft Data Science Team <[email protected]>"]
readme = "README.md"
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2 changes: 1 addition & 1 deletion xgbse/__init__.py
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Expand Up @@ -5,7 +5,7 @@
from ._meta import XGBSEBootstrapEstimator
from ._stacked_weibull import XGBSEStackedWeibull

__version__ = "0.3.2"
__version__ = "0.3.3"

__all__ = [
"XGBSEDebiasedBCE",
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3 changes: 2 additions & 1 deletion xgbse/converters.py
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Expand Up @@ -42,7 +42,7 @@ def convert_y(y):
return y[event_field], y[time_field]


def convert_data_to_xgb_format(X, y, objective, enable_categorical: bool):
def convert_data_to_xgb_format(X, y, objective, enable_categorical: bool = False):
"""Convert (X, y) data format to xgb.DMatrix format, either using cox or aft models.

Args:
Expand All @@ -51,6 +51,7 @@ def convert_data_to_xgb_format(X, y, objective, enable_categorical: bool):
y (structured array(numpy.bool_, numpy.number)): binary event indicator as first field,
and time of event or time of censoring as second field.
objective (string): one of 'survival:aft' or 'survival:cox'
enable_categorical (bool): whether to enable categorical features - default is False

Returns:
xgb.DMatrix: data to train xgb
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