H2OInfogram class contains a subset of what a normal H2OModel will return
model_id
string returned as part of every H2OModel
algorithm
string denoting the algorithm used to build infogram
admissible_features
string array denoting all predictor names which pass the cmi and relelvance threshold
admissible_features_valid
string array denoting all predictor names which pass the cmi and relelvance threshold from validation frame
admissible_features_xval
string array denoting all predictor names which pass the cmi and relelvance threshold from cv holdout set
net_information_threshold
numeric value denoting threshold used for predictor selection
total_information_threshold
numeric value denoting threshold used for predictor selection
safety_index_threshold
numeric value denoting threshold used for predictor selection
relevance_index_threshold
numeric value denoting threshold used for predictor selection
admissible_score
H2OFrame
that contains columns, admissible, admissible_index, relevance, cmi, cmi_raw
admissible_score_valid
H2OFrame
that contains columns, admissible, admissible_index, relevance, cmi, cmi_raw from validation frame
admissible_score_xval
H2OFrame
that contains averages of columns, admissible, admissible_index, relevance, cmi, cmi_raw from cv hold-out