h2o.std_coef_plot function

Plot Standardized Coefficient Magnitudes

Plot Standardized Coefficient Magnitudes

Plot a GLM model's standardized coefficient magnitudes.

h2o.std_coef_plot(model, num_of_features = NULL)

Arguments

  • model: A trained generalized linear model
  • num_of_features: The number of features to be shown in the plot

Examples

## Not run: library(h2o) h2o.init() prostate_path <- system.file("extdata", "prostate.csv", package = "h2o") prostate <- h2o.importFile(prostate_path) prostate[, 2] <- as.factor(prostate[, 2]) prostate_glm <- h2o.glm(y = "CAPSULE", x = c("AGE", "RACE", "PSA", "DCAPS"), training_frame = prostate, family = "binomial", nfolds = 0, alpha = 0.5, lambda_search = FALSE) h2o.std_coef_plot(prostate_glm) ## End(Not run)

See Also

h2o.varimp_plot for variable importances plot of random forest, GBM, deep learning.

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