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• Novelty detection using 1-class SVM  MADLIB-990
• Mixed effects modeling  MADLIB-987
• Factorization Gradient boosted machines
• k-nearest neighbors (kNN)  MADLIB-927
• Geographically Weighted Regression (GWR) MADLIB-1023
• MCMC Probit and Logit regression
• Gaussian Mixture Model using Expectation Maximization (EM) algorithm MADLIB-410
• Multi-layer Perceptron MADLIB-413 MADLIB-1134
• Hierarchical clustering
• Deep learning

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• Path functions (phase 2)  MADLIB-977
• Prediction metrics  MADLIB-907
• Sessionization  MADLIB-909
• Pivoting  MADLIB-908
• Anonymization  MADLIB-911
• URI tools  MADLIB-910Stratified sampling  
• Train-test split MADLIB-9861119

Usability

• Expand coverage for PivotalR
• Expand coverage for PMML export??? (or perhaps switch to PFA???)
• Interface improvement and consistency for 2.0 release (does not need to be backward compatible)
• Implement an interface using named parameters
• Python API

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