BUILD: release FACET 2.0rc0 #349
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… to address an incompatibility between black v20 and click v8.1
… to address an incompatibility with Python 3.6
… to address an incompatibility with Python 3.6
BUILD: release FACET 1.2.2
* TEST: remove unused fixtures * TEST: remove obsolete to-do * TEST: anonymize unused loop variable * TEST: introduce string constants * TEST: remove reliance on scipy > 1.2 * TEST: add type hints * TEST: reformat code * TEST: adjust assertions tolerance for min matrix test * TEST: run mypy also for test code * TEST: remove unused fixtures * BUILD: update flake8 and mypy to latest versions in pre-commit config
…#339) * API: raise exception if any Sample column is not a string * DOC: shorten a class cross-reference
* API: remove arg modules from conf_base.set_config() * DOC: enable local doc build using pytools bootstrap mechanism * BUILD: bump sphinx dependency to 4.5 to match pytools expectation * FIX: adjust a path in api_landing.rst * DOC: update the contribution guidelines * DOC: update environment.yml to use the latest nbsphinx version * DOC: fix indentation and punctuation in contribution_guide.rst * BUILD: ensure sphinx is run using sphinx/ as the working directory * BUILD: improve error message when running make.py from wrong working dir * DOC: make intersphinx mapping configurable in conf_base.py * DOC: ignore generated /sphinx/base * DOC: make Sphinx build independent of the current working directory Co-authored-by: Ben Howitt <howitt.ben@bcg.com>
* API: remove custom blank line at end of simulation output * API: return LearnerInspector matrix outputs as Matrix instances * API: move class LinkageTree to module pytools.data * TEST: update unit tests for new Matrix class * API: annotate affinity matrices with weights and axis labels * API: feature/dependent feature --> primary feature/associated feature * VIZ: set color of axis labels to foreground color * DOC: update release notes * API: order feature linkage leaves for minimal neighbour distance * API: rename Matrix.data to .values, and .weight_label to .value_label * TEST: support NAN values in print_expected_matrix() helper function * API: set diagonals of affinity matrices to np.nan * API: return Matrix instances from feature_interaction_matrix() * REFACTOR: rename __feature_matrix_to_df to __arrays_to_matrix * REFACTOR: import scipy modules instead of individual functions * DOC: update release notes * DOC: correct typos and glitches in release notes * DOC: tweak release notes * API: run LearnerInspector on full sample instead of crossfit splits * REFACTOR: simplify signature of ShapCalculator._calculate_shap() * REFACTOR: use sklearn.base.is_classifier to check for classifier * FIX: return type of make_explainer is BaseExplainer * REFACTOR: use triple quotes for arg match of @inheritdoc * REFACTOR: eliminate inner function make_explainer * API: make explainer factory arguments keyword-only * API: rename TreeExplainerFactory arg use_background_dataset to uses_… * API: base class ExplainerFactory on HasExpressionRepr * API: state explainer when warning about ignoring shap_interaction=True * API: introduce class ParallelExplainer * API: make arg max_job_size required in ExplainerQueue * REFACTOR: simplify access of BaseExplainer.shap_interaction_values() * REFACTOR: push binary classif. handling down to ClassifierShapCalculator * API: run simulations on full sample instead of crossfit splits * API: simplify UnivariateSimulationResult API; simplify simulator classes * API: simulate partitions in parallel * DOC: update simulation docstrings * FIX: remove references to removed attribute LearnerInspector.crossfit * FIX: remove obsolete arg `aggregation` from feature_…_matrix methods * DOC: remove references to crossfit from LearnerInspector documentation * TEST: remove LearnerCrossfit from learner inspector unit tests * TEST: remove obsolete helper functions * TEST: replace iris_classifier_model_binary by iris_classifier_binary * TEST: remove obsolete fixture iris_classifier_crossfit_binary * TEST: use strings not pandas indices to select ColumnTransformer columns * API: implement class ParameterSpace and related classes * add initial version of CrossFit-free LearnerRanker * API: provide all univariate simulation results as a data frame * API: refer to simulation results as mean simulated outputs, not median * DEV: get shap module from conda instead of pypi to avoid numpy conflict * FIX: Set return signature of ShapProjector._calculate to None * FIX: replace iris_classifier_model_binary with iris_classifier_binary * API: remove previous LearnerRanker * API: enable tests for new LearnerRanker * REFACTOR: remove obsolete function _learner_type() * REFACTOR: rename LearnerRanker2 to LearnerRanker * REFACTOR: remove classes LearnerGrid and LearnerEvaluation * API: set default candidate to None * API: add unlift method to ParameterSpace * API: introduce CandidateEstimatorDF * API: rename candidate to raw_estimator * API: add scoring preprocessing * DOC: rewrite Classification_with_Facet tutorial * DOC: rewrite Water_Drilling_Incident_Classification_with_Facet * DOC: adjust next three notebooks * DOC: update rst files * DOC: update all tutorials * DOC: add minor change * DOC: add new contributors * DOC: complete team page * DOC: replace quoted type hints with forward references * DOC: tweak docstrings and comments * BUILD: require pytools 2dev7 for build and test * BUILD: update min/max requirements in pyproject.toml * BUILD: update min/max requirements in pyproject.toml * DOC: reran notebooks with latest dependencies * DOC: add duplicate class variable declarations in subclasses for Sphinx * REFACTOR: linting for 2.0 release (#341) * API: move simulation base classes to new module facet.simulation.base * REFACTOR: remove an obsolete 'if' clause * REFACTOR: declare constant for repetitive string literal * FIX: change a type hint from List to Sequence * DOC: remove an obsolete comment * REFACTOR: declare constants for repetitive string literals * REFACTOR: clarified comments and variable names * REFACTOR: de-complexify Sample.__init__ * REFACTOR: remove an unused variable * REFACTOR: disambiguate a regular expression * REFACTOR: merge a nested 'if' expression * REFACTOR: improve comments * REFACTOR: simplify CSS * REFACTOR: un-bracket alternatives in regular expression * TEST: remove unused fixtures from test method arguments * TEST: remove an obsolete to-do * TEST: anonymize unused loop variables * TEST: add constants for recurring exception messages * TEST: minor code tweaks * DOC: tweak the getting-started example notebook * DOC: add summary to 2.0 release notes * DOC: tweak release notes * DOC: tweak docstrings * DOCS: Rerun tutorial notebooks with sklearndf 2.0.1 * REFACTOR: move class LearnerInspector to new _learner_inspector.py * DOC: tweak docstrings Co-authored-by: Jan Ittner <github.com@ittner.eu> Co-authored-by: Jan Ittner <ittner.jan@bcg.com>
* API: Rename ModelSelector to LearnerSelector * TEST: fix parameter space definitions in regressor_parameters() * API: accept multiple spaces as param parameter_space of LearnerInspector * TEST: adjust test for an updated exception message * TEST: minor tweaks * DOC: update classification tutorial (random search, LearnerSelector API) * DOC: tweak classification tutorial * BUILD: update package dependencies * DOC: update classification tutorial (random search, LearnerSelector API) * DOC: update tutorial notebooks in preparation for the FACET 2.0 release * DOC: tweak a headline * BUILD: update package dependencies * API: improve column names & sequence of LearnerSelector.summary_report() * DOC: documentation tweaks * API: clarify 'candidate name' terminology * DOC: tweak release notes * DOC: add missing intersphinx mappings * DOC: fix link to catboost package * DOC: address sphinx error messages * DOC: move images from _static/ to _images/ Co-authored-by: Jan Ittner <ittner.jan@bcg.com>
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