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Commits on Apr 24, 2015

• ENH add ranking_loss multilabel ranking metric

  arjoly

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Commits on Apr 20, 2015

• DOC use same error message in decision tree and random forest

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• FIX use the new notfittederror in feature_importances_

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• FIX properly raised not fitted error

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• ENH Factor out validation of X for apply/predict in forest

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• Factorize input validation

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• FIX raise error properly when n_features differ in fit and apply

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Commits on Apr 14, 2015

• Update what's new

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• ENH add a prior strategy for the dummy estimator

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Commits on Mar 10, 2015

• FIX numpy deprecation warning from unsafe type comparison

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Commits on Feb 3, 2015

• FIX ensure that negative float max_features will lead to an error

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• FIX Ensure at least 1 feature is sampled when max_features is a float

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Commits on Jan 14, 2015

• DOC add performance for all available classifiers

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Commits on Jan 12, 2015

• ENH Improve script output display

  arjoly

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• ENH add a benchmark on mnist

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Commits on Dec 22, 2014

• MAINT remove deprecated auc_score function

  arjoly

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Commits on Dec 2, 2014

• FIX copy paste mistake

  arjoly

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  a5ecd0b

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• Update what's new

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Commits on Nov 28, 2014

• FIX explicit initialization of normalizer

  arjoly

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  c1894b5

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• ENH use threading backend for features importance parallelisation

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• ENH Release gil in feature importance

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• DOC add missing load_svmlight_files to api references

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Commits on Nov 27, 2014

• Update what's new

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  24b6e1e

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• DOC more explicit title

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  b351548

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• TST + FIX ensure that it fails if sample_weight has not proper length

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  c698834

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• DOC typo

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• ENH add sample_weight support

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• DOC clarify how ties are broken for coverage_error

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• TST make separate tests for coverage + remove redundant tests with commons

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  b1ef356

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• DOC improve documentation of coverage

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  9311f12

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• Remove copy paste mistake

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  02938a7

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• ENH add coverage multilabel ranking metric

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Commits on Nov 26, 2014

• TST add a toy test for min_weight_samples_leaf

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• FIX unlikely pickling error of splitters

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Commits on Nov 25, 2014

• MAINT refactor gradient boosting code

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