Potential Some potential roadmap items 2017+:for 2018+ below.  For more details please see the JIRAs. 

Predictive models

• Multi-class SVM 

  Jira
  server ASF JIRA serverId 5aa69414-a9e9-3523-82ec-879b028fb15b key MADLIB-1037

• Mixed effects modeling 

  Jira
  server ASF JIRA serverId 5aa69414-a9e9-3523-82ec-879b028fb15b key MADLIB-987

• Gradient boosted machines
• Novelty detection using 1-class SVM  MADLIB-990
• Mixed effects modeling  MADLIB-987
• 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-410Multi-layer Perceptron MADLIB-413 MADLIB-1134algorithm 

  Jira
  server ASF JIRA serverId 5aa69414-a9e9-3523-82ec-879b028fb15b key MADLIB-410

• Hierarchical clustering
• Deep learning

Graph

• Single source shortest path  MADLIB-992
• All pairs shortest path MADLIB-1072
• One mode projection (converting a bi-partitite graph of user-item graph to user-user or item-item graph)
• Connected components MADLIB-1072
• Page rank MADLIB-1069
• Graph cut
• Graph measures phase 1 MPP-1073
• Triangle counting
• Minimum spanning tree
• Graph measures phase 2

Utilities

• Personalized PageRank 

  Jira
  server ASF JIRA serverId 5aa69414-a9e9-3523-82ec-879b028fb15b key MADLIB-1084

• Betweenness centrality 

  Jira
  server ASF JIRA serverId 5aa69414-a9e9-3523-82ec-879b028fb15b key MADLIB-1121

• Graph cut 

  Jira
  server ASF JIRA serverId 5aa69414-a9e9-3523-82ec-879b028fb15b key MADLIB-1074

• Triangle counting 

  Jira
  server ASF JIRA serverId 5aa69414-a9e9-3523-82ec-879b028fb15b key MADLIB-1125

• Minimum spanning tree
• Eigenvector centrality 

  Jira
  server ASF JIRA serverId 5aa69414-a9e9-3523-82ec-879b028fb15b key MADLIB-1123

Utilities

• Balanced datasets 

  Jira
  server ASF JIRA serverId 5aa69414-a9e9-3523-82ec-879b028fb15b key MADLIB-1168

  
  Summary - add more statistics 

  Jira
  server ASF JIRA serverId 5aa69414-a9e9-3523-82ec-879b028fb15b key MADLIB-1167

• Path functions (phase 2)  MADLIB-977
• Prediction metrics  MADLIB-907
• Sessionization  MADLIB-909
• Pivoting  MADLIB-908
• Anonymization  MADLIB-911
• URI tools  MADLIB-910Train-test split MADLIB-1119

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

...