Summary of a bag of models — bag

Add option to read the models from a set of rds/rda files.

Usage

bag_models(
  fitted,
  data,
  score2weight = score2weight_min_invmean,
  metric = fitted$metric,
  weights_col = c("validation_score", "habitat_validation_score")[1],
  score_threshold = 0.7,
  weights_function = NULL,
  out_dir
)

w_strech_maxmin_squared(x)

w_strech_max_squared(x)

score2weight_mean(x, col = "validation_score", score_threshold = 0.7)

score2weight_min_mean(x, col = "validation_score", score_threshold = 0.7)

score2weight_invmean(x, col = "validation_score", score_threshold = 0.7)

score2weight_min_invmean(x, col = "validation_score", score_threshold = 0.7)

Arguments

data: Input data (whole dataset)
score2weight: Function to set validation scores into weights, with two arguments: x, the result of one model of the bag, and col, the column to be used for setting the scores. See the argument weights_col.
weights_col: Column to use for scores. One of "validation_score" or "habitat_validation_score".