H2OInfogram-class function

H2OInfogram class

H2OInfogram class

H2OInfogram class contains a subset of what a normal H2OModel will return class

Slots

  • 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
  • Maintainer: Tomas Fryda
  • License: Apache License (== 2.0)
  • Last published: 2024-01-11