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Commits on Jul 29, 2014

• FIX Support unseen labels LabelBinarizer and test

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Commits on Jul 18, 2014

• Modified sparse OvR to handle sparse target data

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  hamsal

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Commits on Jun 25, 2014

• FIX Forced dtype to int when densifying array in label_binarize

  

  hamsal

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  jnothman

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• ENH sparse matrix support in label binarization

  

  hamsal

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Commits on Jun 3, 2014

• Fixed paramaters to make_multilabel_classification and make_regression to keep tests under 1 second, reformated some blank lines

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• Trivial doc alteration, travis timeout

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• Fixed typo toCSR -> tocsr

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• Remove exectuable permision bit

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• Fix score function parameter mistake in test_weighted_boosting

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• Assert sample weight negative sum value error, add authors entry

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• Included testing of the all of the predict/score functions of AdaBoost

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• Updated documenation for weighted_boosting fit() to indicate behavior of forced dtype

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• Resolved python3 forest import error in weighted_boosting.py

  hamsal

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• Inserted base classifier check for BaseDesicionTree and and BaseForest before enforcing DTYPE in wieghted boosting fit

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• Re inserted the check for X.ndim == 2 in initialization, updated a doc detail for X: coo is converted to csr only in the initialization not in the predict functions

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• Enforced dtype for X, and clarified documentation by indcating the sparse formats supported and how they are treated

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• Revied test_sparse_{regression,classification} to use make_multilabel_classification, revised import statements to adhere to one name per import conventions

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• Removed prints statements used for debugging

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• Updated documention to reflect sparse support on input data

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• Revised recuring import statement to respect conventions

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• In functions def test_sparse_classification() and test_sparse_regression() added tests for coo, lil, and dok sparse matricies. Removed parameter set feautre since there are not parameters that alte…

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• Removed densification calls on X '.asarry()' from all predict methods, removed 'dense' parameter from check arrays call, removed contiguous cast of the input array X, detected X as list or array t…

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• Included sprse testing functions test_sparse_classification() and test_sparse_regression() in test_weighted_boosting.py, based on the corresponding testing functions found in test_bagging.py

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