17943
17%

Ran 10 Mar 2016 09:19PM UTC

Jobs 1

Files 343

Run time 46s

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Build # 17943

Build Type

push

travis-ci

Committed by

MechCoder

Commit Message

Multitarget regression meta estimator

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

Run Details

50009 of 53077 relevant lines covered (94.22%)

0.94 hits per line

Uncovered Existing Lines

Lines	Coverage	File
1	100.0	/home/travis/sklearn_build_ubuntu/scikit-learn/sklearn/ensemble/forest.py
1	100.0	/home/travis/sklearn_build_ubuntu/scikit-learn/sklearn/ensemble/iforest.py
8	100.0	/home/travis/sklearn_build_ubuntu/scikit-learn/sklearn/utils/fixes.py

Jobs

ID	Job ID	Ran	Files	Coverage
1	17943.1 (DISTRIB="ubuntu" PYTHON_VERSION="2.7" CYTHON_VERSION="0.23.4" CACHED_BUILD_DIR="$HOME/sklearn_build_ubuntu" COVERAGE=true)	10 Mar 2016 09:19PM UTC	0	94.22	Travis Job 17943.1

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