This parameter does not modify at all the behavior of GridSearchCV,
and is quite confusing for the user.
Useful values of 'C' are already set in 'tuned_parameters'.
* Adding GMM to plot_cluster_comparison.py and changing number of components in all algos to 3.
* adding two datasets to clustering comparision example
* Adding GMM to plot_cluster_comparison.py and changing number of components in all algos to 3.
* adding two datasets to clustering comparision example
* GMM example using GaussianMixture
* fixing lint errors; changing order of datasets in the columns so that no_structure is at the end.
* adding warning supression.
* fixing warning supression.
* hand-tuned cluster parameters
* moved list of algo names; cleaning up color cycling
* fixing islice stop to be an int
* change default to params, make plot color-blind compatible, fix spelling error
* new color palette that is more color-blind friendly
* Modify plot_custom_kernel for matplotlib v2 comp
Add `edgecolors` attribute in scatter plot for better visualization
in matplotlib version 2
Issue: #8364
* Modify plot_oneclass.py for matplotlib v2 comp
Add `edgecolors` attribute to scatter plot for better
visualization in matplotlib version 2
Issue: #8364
* Modify plot_rbf_parameters for matplotlib v2
Add `edgecolors` attribute to scatter plot for
better visualization.
Issue: #8364
* Modify plot_separating_hyperplane_unbalanced for matplotlib v2
Add `edgecolors` attribute to scatter plot for better visualization.
Issue: #8364
* Modify plo_svm_kernels for matplotlib v2
Add `edgecolors` attribute to scatter plot for better
visualization.
Issue: #8364
* Modify plot_svm_margin for matplotlib v2 comp
Add `edgecolors` attribute to scatter plot for better
visualization.
Issue: #8364
* Modify plot_svm_nonlinear for matplotlib v2
Add `edgecolors` attribute to scatter plot for matplotlib
version 2 compatibility
Issue: #8364
* Modify file for remove flake8 error
Remove extra white space.
Issue: #8364
- No need for `regr.predict(diabetes_X_test)` to run multiple times.
- Use `sklearn.metrics.mean_squared_error`.
- Use `sklearn.metrics.r2_score`, instead of `regr.score`, which
runs `regr.predict` again.
The first argument of np.random.normal is the mean of the distribution, and
not the output shape. The example thus did not add noise but only an intercept
to the model.
ensure that estimators only add private attributes and attributes with
trailing _
in cases when existing estimators don't follow this new rule, we deprecate the
attributes and make them follow this rule
* removed stray space in '__main__ '
* fixed pipeline bug causing TypeError and removed incorrect keyword argument
pipeline was not created properly (both classes had .predict) causing
TypeError to be thrown.
Also removed incorrect keyword argument loss=“l2” for LinearSVC
* Corrected shift of separating hyperplane that passes through the support vectors
* Fixed signs on yy_down and yy_up
* PEP 8 spacing correction
* Fixed spaces at end of comment for Travis
* initial commit for return_std
* initial commit for return_std
* adding tests, examples, ARD predict_std
* adding tests, examples, ARD predict_std
* a smidge more documentation
* a smidge more documentation
* Missed a few PEP8 issues
* Changing predict_std to return_std #1
* Changing predict_std to return_std #2
* Changing predict_std to return_std #3
* Changing predict_std to return_std final
* adding better plots via polynomial regression
* trying to fix flake error
* fix to ARD plotting issue
* fixing some flakes
* Two blank lines part 1
* Two blank lines part 2
* More newlines!
* Even more newlines
* adding info to the doc string for the two plot files
* Rephrasing "polynomial" for Bayesian Ridge Regression
* Updating "polynomia" for ARD
* Adding more formal references
* Another asked-for improvement to doc string.
* Fixing flake8 errors
* Cleaning up the tests a smidge.
* A few more flakes
* requested fixes from Andy
* Mini bug fix
* Final pep8 fix
* pep8 fix round 2
* Fix beta_ to alpha_ in the comments
DOHMATOB Elvis
Hanmin Qin