Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

For a 0.20.6 release #1128

Merged
merged 22 commits into from
Jun 6, 2024
Merged
Changes from 1 commit
Commits
Show all changes
22 commits
Select commit Hold shift + click to select a range
a855bf7
CompatHelper: bump compat for MLJFlow to 0.5, (keep existing compat)
May 22, 2024
0c2b6a7
update the MLJ module document string
ablaom May 30, 2024
2d52e10
rename section to "Thresholding Probabilistic Predictors"
ablaom May 30, 2024
fa8b1e3
tweak to `MLJ` doc string
ablaom May 31, 2024
6603df9
add FeatureSelection; ModelDescriptors.toml not updated
ablaom Jun 3, 2024
5dc121e
update ModelDesciptors, including additions for wrappers
ablaom Jun 3, 2024
41d56bf
fixes around Model Browser generation
ablaom Jun 3, 2024
660b24a
add [compat] bound: FeatureSelection = "0.1.1"
ablaom Jun 4, 2024
8258ff7
add "neural networks" tag to model descriptors to close #1110
ablaom Jun 5, 2024
c4247a6
Merge branch 'dev' into compathelper/new_version/2024-05-22-00-20-58-…
ablaom Jun 5, 2024
b4c6fa4
Merge pull request #1122 from JuliaAI/compathelper/new_version/2024-0…
ablaom Jun 5, 2024
75d3181
Merge branch 'dev' into constructor
ablaom Jun 5, 2024
9f6f77e
in integration tests, flag issue with RecursiveFeatureElimination
ablaom Jun 5, 2024
4a23570
Merge pull request #1127 from JuliaAI/constructor
ablaom Jun 5, 2024
59a588e
bump 0.20.6
ablaom Jun 5, 2024
4eeaf2f
tweak MLJ module docstring
ablaom Jun 5, 2024
99a0961
oops; fix syntax error in test/integration.jl
ablaom Jun 5, 2024
1509c02
add missing model descriptors
ablaom Jun 5, 2024
ac9536b
fix syntax error in ModelDescriptors.toml
ablaom Jun 5, 2024
5a28d4f
add TSVDTransformer to integration.jl FILTER_GIVEN_ISSUE
ablaom Jun 5, 2024
7631320
add extra layer to sidebar table of contents in manual
ablaom Jun 5, 2024
33d8852
fix syntax error in integration.jl
ablaom Jun 6, 2024
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
Next Next commit
rename section to "Thresholding Probabilistic Predictors"
ablaom committed May 30, 2024
commit 2d52e1055b9b06f9bea03f353dbd8d81a84ae537
2 changes: 1 addition & 1 deletion docs/make.jl
Original file line number Diff line number Diff line change
@@ -67,7 +67,7 @@ pages = [
"Learning Curves" => "learning_curves.md",
"Preparing Data" => "preparing_data.md",
"Transformers and Other Unsupervised models" => "transformers.md",
"More on Probabilistic Predictors" => "more_on_probabilistic_predictors.md",
"Thresholding Probabilistic Predictors" => "thresholding_probabilistic_predictors.md",
"Composing Models" => "composing_models.md",
"Linear Pipelines" => "linear_pipelines.md",
"Target Transformations" => "target_transformations.md",
7 changes: 4 additions & 3 deletions docs/src/index.md
Original file line number Diff line number Diff line change
@@ -56,18 +56,19 @@ To support MLJ development, please cite these works or star the repo:
[Model Search](@ref model_search) |
[Loading Model Code](@ref) |
[Transformers and Other Unsupervised Models](@ref) |
[More on Probabilistic Predictors](@ref) |
[Composing Models](@ref) |
[Simple User Defined Models](@ref) |
[List of Supported Models](@ref model_list) |
[Third Party Packages](@ref)

### Meta-algorithms
[Evaluating Model Performance](@ref) |
[Tuning Models](@ref) |
[Composing Models](@ref) |
[Controlling Iterative Models](@ref) |
[Learning Curves](@ref)|
[Correcting Class Imbalance](@ref)
[Correcting Class Imbalance](@ref) |
[Thresholding Probabilistic Predictors](@ref)


### Composition
[Composing Models](@ref) |
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
# More on Probabilistic Predictors
# Thresholding Probabilistic Predictors

Although one can call `predict_mode` on a probabilistic binary
classifier to get deterministic predictions, a more flexible strategy
2 changes: 1 addition & 1 deletion src/MLJ.jl
Original file line number Diff line number Diff line change
@@ -17,7 +17,7 @@ following model wrappers: `Pipeline`, `TunedModel`, `EnsembleModel`, `IteratedMo
`evaluate`/`evaluate!` for model performance, `|>` pipeline syntax,
`TransformedTargetModel` wrapper, general model composition syntax (learning networks),
synthetic data generators, `scitype` and `schema` methods (from ScientificTypes.jl) for
checking how MLJ interprets your data
checking how MLJ interprets your data. Generally required for any MLJ workflow.

- StatisticalMeasures.jl: MLJ-compatible measures (metrics) for machine learning,
confusion matrices, ROC curves.