Iter fold for fit #1
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This commit puts datasets into a separate crate called `linfa-datasets`
* Add fit method for gaussian naive bayes * Add predict method for gaussian naive bayes * Fix partial_fit method for gaussian naive bayes * Add error variants for gaussian naive bayes * Make partial_fit method take in view matrices * Add example for gaussian naive bayes * Add comments and documentation * Remove unwrap from doc examples * Reformat the 2*pi calculation * Fix typos * Add reference to linfa-bayes * Refactor partial_fit api * Refactor for new Fit and Predict api * Make api work with Dataset::split_with_ratio method * Refactor incremental fit api
* Renamed Dataset to DatasetBase in all subcrates. Added new types Dataset and DatasetView * impl all method except k-fold, update dataset crate * Dropped vec implementation. Adjusted svm accordingly * k-folding with axis_chunks_iter * renamed Dataset to DatasetBase in naive bayes * swapping for k-fold, dropped vec impl
* added tests for sparse.rs * a happy clippy is a good clippy * started testing lib.rs * added lib.rs tests * added lib.rs documentation * fixed to_upper_traing, tested to_upper_triang, weighted sum * fixed upper_traing test and adjusted svm test * fmt
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rust-ml#70 iter fold