v0.0.18

Improve

• Export Complex number class
• Add CAST clustering
• Add LMNN classification
• Add KernelPCA and DualPCA model
• Add scaling methods (MaxAbsolute, MinMax, Robust, Standardization)
• Add ddof parameter to variance and std function of Matrix class
• Add Probabilistic PCA and GPLVM

Breaking changes

• Change name hierarchy to agglomerative
• HMM only accept categorical data (same as CRF)
• Remove kernel computation from PCA

Bug fix

• predict function of HMMClassifier always returns -1
• The arguments of callback function for reduce of Matrix class is invalid when axis is -1
• The calculation of percentile is invalid in some models
• predict function of KNN, KNNRegression, KNNAnomaly and KNNDensityEstimation only accept one data

Minor changes

• Change learning rate of CRF
• Split some algorithms (Lasso and Lagrange interpolation)

Documents

• Change notation of unnecessary parameters