ENH NonBLASDotWarning -> EfficiencyWarning; Improve error message
DOC Add exceptions module to modules/classes.rst
MAINT Move ConvergenceWarning, UndefinedMetricWarning et al into exceptions
MAINT Remove ChangedBehaviorWarning from base
DOC/FIX Improve DataConversionWarning's docstring
Passing 1D arrays to check_array, without setting `ensure_2d` to false now
raises a deprecation warning before reshaping it. This will later throw an
error.
All Scaler classes also throw warnings when 1D arrays are passed.
All unit tests/doctests are modified to ensure that no 1D arrays are passed,
except in explicit 1D array tests where the warnings have been silenced.
Additional tests are also included which check for different 1D array cases.
2D array tests with one samples and one features are also added and where
they failed, `check_array` call has been modified to give a more useful error
message
MAINT Remove sequence of sequence support from datasets
MAINT Remove return_indicator param
MAINT Remove multilabel-seq test in OVR
MAINT Remove multilable-seq test in check_cv
MAINT Remove multilabel seq test in label_binarizer
TST type_of_target returns "unknown" for multilabel-sequence types
TST _check_targets should raise a ValueError
DOC show multilabel indicator as an example; remove return_indicator param
DOC use consistent lower case y for target
Instead of thresholding <0 probabilities to 1e-5, threshold <epsilon to epsilon. This avoids the issue of, e.g., probability values of 0 becoming larger than values of 1e-7.
Add a unit test for `_samme_proba` which checks that probability ordering is unchanged.
Resolves issue #4944 .
Removed the need for printing attributes to raise
exceptions in the tests
Removed unnecessary setting of attributes in the
initialisation.
Moved check for warm_start and oob_score
Test that oob_score is a good estimate of generalization
error in case of warm_start.
Test that oob_score is computed only on most recent
training samples with newly added classifiers
BaggingClassifier and BaggingRegressor now support warm_starts. Added
basic tests and documentation of the new functionality. Heavily
inspired by work on warm_start for Random forests.
MechCoder