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1. Plotting decision trees with H2O-3 Plotting decision trees with H2O-3

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   titanic_1tree = h2o.gbm(x = predictors, y = response, 

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                           training_frame = titanicHex, 

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                           ntrees = 1, min_rows = 1, sample_rate = 1, col_sample_rate = 1,

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                           max_depth = 5,

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                           # use early stopping once the validation AUC doesn't improve by at least 0.01%

2. h2oai/h2o-3 h2oai/h2o-3 Public

   H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…

   Jupyter Notebook 6.9k 2k

3. h2oai/driverlessai-recipes h2oai/driverlessai-recipes Public

   Recipes for Driverless AI

   Python 241 94

4. teradata-aster-field/toaster teradata-aster-field/toaster Public

   Tools for Aster in R

   R 11 2

5. RelationalAI/sales-eng-tools RelationalAI/sales-eng-tools Public

   Sales Engineering tools for RAI

   Java 2