chore(deps): update dependency shap to v0.46.0 #29
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This PR contains the following updates:
==0.41.0->==0.46.0Release Notes
shap/shap (shap)
v0.46.0Compare Source
What's Changed
This release adds compatibility with recent version of numpy and tensorflow, and includes several bug fixes.
Added
Changed
auto_size_plotparameter toshap.summary_plot().Fixed
float16mixed precision by @CloseChoice in https://github.com/shap/shap/pull/3652XGBRegressormodels by @CloseChoice in https://github.com/shap/shap/pull/3669Plus several further documentation and code quality improvements.
New Contributors
Full Changelog: shap/shap@v0.45.1...v0.46.0
v0.45.1Compare Source
This is a patch release with a couple of bug fixes. In particular, fixes a bug relating to loading of XGBoost models with exponential losses.
What's Changed
Added
Changed
Fixed
Plus several documentation and maintenance updates by @bewygs , @CloseChoice , @Hugh-OBrien
New Contributors
Full Changelog: shap/shap@v0.45.0...v0.45.1
v0.45.0Compare Source
This is a fairly significant release containing a number of breaking changes.
Thank you to a number of new contributors for their contributions to this release! We are eager to grow the pool of maintainers, so please do get in touch on #3559 if you are interested in being part of the team.
What's Changed
Breaking changes
feature_dependenceparameters in TreeExplainer and LinearExplainer by @thatlittleboy in https://github.com/shap/shap/pull/3340Added
beeswarmplots by @MonoHue in https://github.com/shap/shap/pull/3530Fixed
.. plus a large number of documentation, testing and other maintenance updates by @CloseChoice , @yuanx749 , @LakshmanKishore and others.
New Contributors
Full Changelog: shap/shap@v0.44.1...v0.45.0
v0.44.1Compare Source
Patch release to fix an issue with the display of force plots.
Fixed
Other
Full Changelog: shap/shap@v0.44.0...v0.44.1
v0.44.0Compare Source
This release contains a number enhancements and bug fixes.
What's Changed
Added
axtogroup_difference()plot by @mtlulka in https://github.com/shap/shap/pull/3355Fixed
CatboostClassifierexplanations with feature interactions on Windows by @CloseChoice in https://github.com/shap/shap/pull/3325use_line_collectionindependence_plotby @CloseChoice in https://github.com/shap/shap/pull/3369scatterplots by @SomeUserName1 in https://github.com/shap/shap/pull/2799Documentation
New Contributors
Full Changelog: shap/shap@v0.43.0...V0.44.0
v0.43.0Compare Source
What's Changed
This release contains a number of bug fixes and improvements.
Following the NEP 29 deprecation policy, this release drops support for python 3.7.
Breaking changes
Explanation.base_valueshas been standardised between different TreeExplainer models to always be of shape(N,)and not(N,1). By @thatlittleboy in https://github.com/shap/shap/pull/3121Added
Fixed
feature_namesin Explanation objects with square.valuesby @thatlittleboy in https://github.com/shap/shap/pull/3126register_backward_hook()by @noxthot in https://github.com/shap/shap/pull/3259There have also been a large number of improvements to the tutorials and examples, by @connortann, @znacer, @arshiaar, @thatlittleboy, @dsgibbons, @owenlamont and @CloseChoice
New Contributors
Full Changelog: shap/shap@v0.42.1...v0.43.0
v0.42.1Compare Source
Patch release to provide wheels for a broader range of architectures.
Added
Fixed
Full Changelog: shap/shap@v0.42.0...v0.42.1
v0.42.0Compare Source
This release incorporates many changes that were originally contributed by the SHAP community via @dsgibbons's Community Fork, which has now been merged into the main shap repository. PRs from this origin are labelled here as
fork#123.This will be the last release that supports python 3.7.
Added
n_pointsparameter to all functions inshap.datasets(fork#39 by @thatlittleboy).__call__toKernelExplainer(#2966 by @dwolfeu).Fixed
plot.waterfallto support yticklabels with boolean features (fork#58 by @dwolfeu).TreeExplainer.__call__from throwing ValueError when passed a pandas DataFrame containing Categorical columns (fork#88 by @thatlittleboy).shap.datasetsto sample without replacement (fork#36 by @thatlittleboy).UnboundLocalErrorproblem arising from passing a dictionary input toshap.plots.bar(#3001 by @thatlittleboy).Gradient(#2983 by @skamdar).shap.plots.heatmap, and use theaxmatplotlib API internally for plotting (#3040 by @thatlittleboy).numba>=0.44(fork#9 and fork#68 by @connortann).numpy>=1.24from numpy types (fork#7 by @dsgibbons).Ipython>=8fromIpython.core.display(fork#13 by @thatlittleboy).tensorflow>=2.11fromtf.optimisers(fork#16 by @simonangerbauer).sklearn>=1.2fromsklearn.linear_model(fork#22 by @dsgibbons).xgboost>=1.4fromntree_limitin tree explainer (#2987 by @adnene-guessoum).shap.explainers.Exact(#3064 by @connortann).Changed
shap.plotsfunctions (#3003, #3005 by @thatlittleboy).Removed
mimic.pyfile andMimicExplainercode (fork#53 by @thatlittleboy).Maintenance
rufflinting (fork#25, fork#26, fork#27, #2973, #2972 and #2976 by @connortann; #2968, #2986 by @thatlittleboy).Configuration
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