h2oai / h2o-3

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.

Apache License 2.0

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Happens when run impute from R create a dummy frame - createFrame {"dest":"dummy","rows":10000,"cols":100,"seed":7595850248774472000,"randomize":true,"value":0,"real_range":"100236","categorical_fraction":".1","factors":"43","integer_fraction":0.5,"binary_fraction":"0","binary_ones_fraction":"0","integer_range":"333","missing_fraction":"0.1","response_factors":"1","has_response":false}

run impute on it from R or = h2o.getFrame("dummy") for (i in 1:ncol(or)){

if(is.factor(or[,i])=="FALSE"){

h2o.impute(data = or,column = i,method = "median")

}

print(i) }

go to flow and do - get jobs get Error calling GET /3/Jobs Failed to find ModelBuilder class in registry: class hex.quantile.Quantile

h2oai / h2o-3

impute: when an impute from R and run- 'get jobs' in flow, it throws error - Failed to find ModelBuilder class in registry: class hex.quantile.Quantile #14937

if(is.factor(or[,i])=="FALSE"){

}