THIS IS A TEST INSTANCE. ALL YOUR CHANGES WILL BE LOST!!!!
Some potential roadmap items ideas for 2018+ below. For more details please see the JIRAs.
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- 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
- Gaussian Mixture Model using Expectation Maximization (EM) algorithm
Jira server ASF JIRA serverId 5aa69414-a9e9-3523-82ec-879b028fb15b key MADLIB-410 - Hierarchical clustering
- k-NN improvements
Jira server ASF JIRA serverId 5aa69414-a9e9-3523-82ec-879b028fb15b key MADLIB-1061 Jira server ASF JIRA serverId 5aa69414-a9e9-3523-82ec-879b028fb15b key MADLIB-1181 - Deep learning
Graph
- 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 - APSP performance improvements
Jira server ASF JIRA serverId 5aa69414-a9e9-3523-82ec-879b028fb15b key MADLIB-1155
Utilities
- Balanced datasets
Jira server ASF JIRA serverId 5aa69414-a9e9-3523-82ec-879b028fb15b key MADLIB-1168
Summary - add more statisticsJira server ASF JIRA serverId 5aa69414-a9e9-3523-82ec-879b028fb15b key MADLIB-1167 - Anonymization
Jira server ASF JIRA serverId 5aa69414-a9e9-3523-82ec-879b028fb15b key MADLIB-911 - URI tools
Jira server ASF JIRA serverId 5aa69414-a9e9-3523-82ec-879b028fb15b key MADLIB-910
Usability
- Expand coverage for PivotalRExpand 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
Jira server ASF JIRA serverId 5aa69414-a9e9-3523-82ec-879b028fb15b key MADLIB-1157 - Python API
Performance and scalability
- Mini-batching
Jira server ASF JIRA serverId 5aa69414-a9e9-3523-82ec-879b028fb15b key MADLIB-1048 Jira server ASF JIRA serverId 5aa69414-a9e9-3523-82ec-879b028fb15b key MADLIB-1037 Jira server ASF JIRA serverId 5aa69414-a9e9-3523-82ec-879b028fb15b key MADLIB-1200 - Work around PostgreSQL 1 GB field size limit MADLIB-991
- GPU support
- Improve decision tree and random forest performance for run-time and memory usage
MADLIB-1057MADLIB-976
Platform
- usage
Jira server ASF JIRA serverId 5aa69414-a9e9-3523-82ec-879b028fb15b key MADLIB-1057 Jira server ASF JIRA serverId 5aa69414-a9e9-3523-82ec-879b028fb15b key MADLIB-976
Platforms and Frameworks
- PostgreSQL 10 support
Jira server ASF JIRA serverId 5aa69414-a9e9-3523-82ec-879b028fb15b key MADLIB-1185 - Support modern versions of gcc
Jira server ASF JIRA serverId 5aa69414-a9e9-3523-82ec-879b028fb15b key MADLIB-1025 Support for PostgreSQL 9.5 and 9.6 MADLIB-944 - Tensorflow support, or another deep learning framework
- GPU support