process_info_binomial: A set of process information object constructors

In cvms: Cross-Validation for Model Selection

A set of process information object constructors

Description

\Sexpr[results=rd, stage=render]{lifecycle::badge("experimental")}

Classes for storing process information from prediction evaluations.

Used internally.

Usage

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.

Value

List with relevant information.

Author(s)

Ludvig Renbo Olsen, [e-mail]

cvms documentation built on Sept. 11, 2024, 6:22 p.m.