This is great! Do we have documentation about setting up databases to connect with Jupyter Notebook to run? I think not many python users have done that.
The MLP examples are especially interesting. I suggest we share them on the forum of deeplearning.ai courses. There are so many enthusiasts who may be interested in these. Aaron On Wed, Aug 30, 2017 at 11:39 AM, Frank McQuillan <[email protected]> wrote: > 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 >
