Hello, Now that 1.12 has shipped, I want to remind you of Jupiter notebooks with the new 1.12 features posted to: https://github.com/apache/madlib-site/tree/asf-site/community-artifacts
The goal of these data science notebooks is to help you get started on the new features by showing examples of usage that you can copy. Many of them reflect the examples in the user docs at: http://madlib.apache.org/docs/latest/index.html The new 1.12 notebooks that have been added are: neural nets (general MLP usage) https://github.com/apache/madlib-site/blob/asf-site/community-artifacts/mlp-v1.ipynb neural nets (demo uses the popular MNIST dataset, which consists of 70,000 hand written digits and is used for classification) https://github.com/apache/madlib-site/blob/asf-site/community-artifacts/MLP.ipynb graph/all pairs shortest path https://github.com/apache/madlib-site/blob/asf-site/community-artifacts/APSP-v1.ipynb graph measures (closeness, diameter, average path length, in-out degree) https://github.com/apache/madlib-site/blob/asf-site/community-artifacts/Graph-measures-v1.ipynb graph/breadth-first search https://github.com/apache/madlib-site/blob/asf-site/community-artifacts/Breadth-first-search-v1.ipynb graph/weakly connected components https://github.com/apache/madlib-site/blob/asf-site/community-artifacts/Weakly-connected-cpts-v2.ipynb stratified sampling https://github.com/apache/madlib-site/blob/asf-site/community-artifacts/stratified-sampling-v1.ipynb train-test split https://github.com/apache/madlib-site/blob/asf-site/community-artifacts/Train-test-split-v1.ipynb If you have your own examples that you would like to add the repo, you are most welcome to do so. Frank
