process_info_binomial function

A set of process information object constructors

lifecycle::badge("experimental")

Classes for storing process information from prediction evaluations.

Used internally.

process_info_binomial(
  data,
  target_col,
  prediction_cols,
  id_col,
  cat_levels,
  positive,
  cutoff,
  locale = NULL
)

## S3 method for class 'process_info_binomial'
print(x, ...)

## S3 method for class 'process_info_binomial'
as.character(x, ...)

process_info_multinomial(
  data,
  target_col,
  prediction_cols,
  pred_class_col,
  id_col,
  cat_levels,
  apply_softmax,
  locale = NULL
)

## S3 method for class 'process_info_multinomial'
print(x, ...)

## S3 method for class 'process_info_multinomial'
as.character(x, ...)

process_info_gaussian(data, target_col, prediction_cols, id_col, locale = NULL)

## S3 method for class 'process_info_gaussian'
print(x, ...)

## S3 method for class 'process_info_gaussian'
as.character(x, ...)

Arguments

• data: Data frame.
• target_col: Name of target column.
• prediction_cols: Names of prediction columns.
• id_col: Name of ID column.
• cat_levels: Categorical levels (classes).
• positive: Name of the positive class.
• cutoff: The cutoff used to get class predictions from probabilities.
• locale: The locale when performing the evaluation. Relevant when any sorting has been performed.
• x: a process info object used to select a method.
• ...: further arguments passed to or from other methods.
• pred_class_col: Name of predicted classes column.
• apply_softmax: Whether softmax has been applied.

Returns

List with relevant information.

Author(s)

Ludvig Renbo Olsen, r-pkgs@ludvigolsen.dk