h2o.get_regression_influence_diagnostics function

Extracts a list of H2OFrames containing regression influence diagnostics for predictor subsets of various sizes or just one H2OFrame containing regression influence diagnostics for predictor subsets of one fixed size

Extracts a list of H2OFrames containing regression influence diagnostics for predictor subsets of various sizes or just one H2OFrame containing regression influence diagnostics for predictor subsets of one fixed size

h2o.get_regression_influence_diagnostics(model, predictorSize = -1)

Arguments

  • model: an H2OModel object.
  • predictorSize: predictor subset size. If specified, will only return model coefficients of that subset size. If not specified will return a lists of model coefficient dicts for all predictor subset size.

Examples

## Not run: library(h2o) h2o.init() f <- "https://s3.amazonaws.com/h2o-public-test-data/smalldata/junit/cars_20mpg.csv" cars <- h2o.importFile(f) predictors <- c("displacement", "power", "weight", "acceleration", "year") response <- "acceleration" cars_model <- h2o.modelSelection(y=response, x=predictors, training_frame = cars, min_predictor_number=2, mode="backward", influence="dfbetas", lambda=0.0, family="gaussian") rid_frame <- h2o.get_regression_influence_diagnostics(cars_model, predictorSize=3) ## End(Not run)
  • Maintainer: Tomas Fryda
  • License: Apache License (== 2.0)
  • Last published: 2024-01-11