* WIP
* WIP
* Updates to the math section
* so apparently crammer-singer isn't consistent (http://www.cs.columbia.edu/\~rocco/papers/icml13.html)
* reorganized example links and described pictures
* Added references
* more refs
* Added scaler to docstring examples
* doc about dual coefs
* WIP
* note about shrinking and gram matrix
* ellipsis
* ellipsis again
* maybe fixed doc issue
* details for regression
* training error -> margin error
* Apply suggestions from code review
Co-Authored-By: Adrin Jalali <adrin.jalali@gmail.com>
* put back links + addressed rest of comments
* small detail about margin boundaries and SVs
* Addressed comments from Thomas and Adrin
Co-authored-by: Adrin Jalali <adrin.jalali@gmail.com>
* removed warn_on_dtype
* removed parameters to check_is_fitted
* all_estimators parameters
* deprecated n_components attribute in AgglomerativeClustering
* change default of base.score for multioutput
* removed lots of useless decorators?
* changed default of copy in quantil_transform
* removed six.py
* nmf default value of init param
* raise error instead of warning in LinearDiscriminantAnalysis
* removed label param in hamming_loss
* updated method parameter of power_transform
* pep8
* changed default value of min_impurity_split
* removed assert_false and assert_true
* added and fixed versionchanged directives
* reset min_impurity_split default to None
* fixed LDA issue
* fixed some test
* more docstrings updates
* set min_impurity_decrease for test to pass
* upate docstring example
* fixed doctest
* removed multiouput.score since it's now consistent with the default
* deprecate least_angle parameter combination
* remove support for l1 or l2 loss in svm
* removed linear_assignment.py
* add test
pwalchessen