mli-resources
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H2O.ai Machine Learning Interpretability Resources
Following the instruction to build the Docker image, --------- 3. Fetch the Dockerfile from the mli-resources repo. $ curl https://raw.githubusercontent.com/h2oai/mli-resources/master/anaconda_py36_h2o_xgboost_graphviz/Dockerfile > anaconda_py36_h2o_xgboost_graphviz/Dockerfile --------- The resulted Docker file contains the status...
In order to successfully install examples using Docker I did the following changes: * There seems to be missing step which clones `mli-resources` GitHub repository. Perhaps `RUN git clone https://github.com/h2oai/mli-resources.git`...
In given example a GBM is used to create tree. but TREPAN generates sample to satisfy minimum number of samples required(Smin). how does GBM do that here?