val: Evaluate an algorithm with one dfm

In JBGruber/smlhelper: Some helper functions for SML

Evaluate an algorithm with one dfm

Description

Evaluate an algorithm with one dfm

Usage

val(
  x,
  y,
  set = "training",
  alg = NULL,
  pred = stats::predict,
  as_matrix = FALSE,
  positive = TRUE,
  pb = NULL,
  what = NULL,
  write_out = FALSE
)

Arguments

x	A dfm to evaluate.
y	A variable in docvars of the dfms with the class (must be logical for now).
set	A variable in docvars indicating membership to training or test set.
alg	A functions containing the algorithm to be evaluated (see example)
pred	A function used for prediction (most packages use predict(), which is the default).
as_matrix	Logical. Indicating if alg needs the dfm converted to a matrix.
positive	value for the positive class.
pb, what	Used to display status bar when used in batch mode.
write_out	Should intermediate results be written to the working directory.

Value

A confusion matrix object.

JBGruber/smlhelper documentation built on Oct. 7, 2022, 3:43 p.m.