0.0.14-beta

• Added feature importances to Gradient Boost
• Added progress monitoring to Gradient Boost w/ early stop
• Added Spatial and Decision tree interface
• Mean Shift compatible with Spatial trees
• K-d Neighbors base spatial tree configurable
• Radius Neighbors now uses base spatial tree
• Local Outlier Factor interchangable base search tree
• DBSCAN now uses any Spatial tree for range searches
• CART uses downsampling on continuous features
• LOF and Isolation Forest contamination off by default
• Embed method now returns an array instead of dataset
• Fixed issue with Dataset partitioning
• Renamed Coordinate node to Hypercube
• KNN default k is now 5 instead of 3
• CART can now print a text representation of the decision rules
• Removed Local Outlier Factor brute force version
• Changed namespace of trees to Graph/Trees
• CART impurity tolerances are now hardcoded
• Changed order of CART hyperparameters
• Added Extra Tree base implementation
• Extra Tree splits are now unbiased
• Extra Tree Classifier now minimizes entropy
• Reduced the memory footprint of Binary Nodes
• Gradient Boost shrinkage bounded between 0 and 1
• Added random subset without replacement to dataset API
• Changed order of Gradient Boost hyperparameters
• Changed order of MLP hyperparameters
• Ranking interface is now a general interface
• Changed default t-SNE minimum gradient