THIS IS A TEST INSTANCE. ALL YOUR CHANGES WILL BE LOST!!!!
Potential roadmap items 2016+:
Predictive models
Novelty detection using 1-class SVM MADLIB-990- Mixed effects modeling MADLIB-987
- Factorization 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
- Hierarchical clustering
Graph
- Shortest path MADLIB-992
- Standard traversal
- depth first search
- breadth first search
- topological sort
- One mode projection (converting a bi-partitite graph of user-item graph to user-user or item-item graph)
- Connected components
- Page rank
- Hierarchical graph cut
- Between-ness centrality
- Minimum spanning tree
Utilities
Path functions (phase 2) MADLIB-977Prediction metrics MADLIB-907Sessionization MADLIB-909Pivoting MADLIB-908- Anonymization MADLIB-911
- URI tools MADLIB-910
- Stratified sampling MADLIB-986
Usability
- Expand coverage for PivotalR
- Expand coverage for PMML export??? (or perhaps switch to PFA???)
- Interface improvement and consistency
- Implement an interface using named parameters
- Python API
Performance and scalability
- Work around PostgreSQL 1 GB field size limit MADLIB-991
- GPU support
Platform
Support for PostgreSQL 9.5 and 9.6 MADLIB-944- Tensorflow support