classif_params: Classification Parameters

Description Arguments

Description

Classification Parameters

Arguments

truth

:: factor()
True (observed) labels. Must have the same levels and length as response.

response

:: factor()
Predicted response labels. Must have the same levels and length as truth.

prob

:: matrix()
Matrix of predicted probabilities, each column is a vector of probabilities for a specific class label. Columns must be named with levels of truth.

sample_weights

:: numeric()
Non-negative sample weights. Must have the same levels and length as truth. Defaults to equal sample weights.

na_value

:: numeric(1)
Value that should be returned if the measure is not defined for the input (as described in the note). Default is NaN.

...

:: any
Additional arguments. Currently ignored.


mlr3measures documentation built on Nov. 5, 2019, 9:06 a.m.