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-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
90786
from R can easily access the contents of h2o.describe by using as.data.table but in python had to call .summary() to access them.
this does not work -
{code:java} boston = h2o.import_file("https://s3.amazonaws.com/h2o-public-test-data/smalldata/gbm_test/BostonHousing.csv") tt = boston.describe() import pandas as pd dd = pd.DataFrame(tt) list(dd) [ ] {code}
this works
{code:java} boston = h2o.import_file("https://s3.amazonaws.com/h2o-public-test-data/smalldata/gbm_test/BostonHousing.csv")
tt = boston.summary(return_data=True) import pandas as pd dd = pd.DataFrame(tt) dd list(dd) dd['crim']['zero_count'] {code}