Register OneVsRestRegressor as meta estimator
Rename to a more sensible name
Parallel predict and sparse support
Started MultiOutput documentation
Move code to new file multioutput.py
Continuing the move to new multioutput module
Added sample weight support
Better test for sample weights and actually support weights
Added a new test using weighted vs repeated samples to
test sample weight support. Uncovered that weights
were not actually passed on to underlying estimator.
Comment on multiprocess overheads
Move parallel_helper to utils.fixes
This helper works around a python2 limitation on pickling
instance methods
Example of multi-output regression with gradient boosting
Switch to uniform weighted score and updated example
The example now uses a RF with and without the MultiOutput
meta estimator
Added note for removing `score` method
Addressing comments on MultiOutputRegressor
MultiOutputregressor better test for weighted samples
Fix ups
Use explicit keyword argument for passing sample weights and
fix random_state on train-test split in the example
The LDA accronym for Linear Discriminant Analysis is ambiguous
because of the newly introduced Latent Dirichlet Allocation model.
We therefore deprecate the sklearn.lda.LDA and sklearn.lda.QDA
in favor of explicit names.
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
Closes#4724. The multi-class page now includes a list of estimators
that support multi-labels. Also adjusted the reference to LDA to include
QDA as a multiclass-supporting classifier.
ENH use the decision_function to compute the prediction
TST Added test to assertain correlation of decision function and prediction
Add test to check if ties are broken using decision function
Add decision_function tests to check for votes/scores
ovo_ties test will use decision function to calculate votes and score.
DOC Add entry to OvO's doc regarding how ties are broken
DOC Clean up the predict / decision_function methods' docstring.
PEP8 Minor PEP8 clean up.
Added examples to multiclass/label definitions
Reformulation of multilabel classification definition; updated list of multiclass algorithms
Added pointers for label binarizer helpers
Changed n_labels to n_classes
Maniteja Nandana