fit_models: Fit classification model and compute key metrics

In theftdlc: Analyse and Interpret Time Series Features

Fit classification model and compute key metrics

Description

Fit classification model and compute key metrics

Usage

fit_models(data, iter_data, row_id, is_null_run = FALSE, classifier)

Arguments

data	list containing train and test sets
iter_data	data.frame containing the values to iterate over for seed and either feature name or set name
row_id	integer denoting the row ID for iter_data to filter to
is_null_run	Boolean whether the calculation is for a null model. Defaults to FALSE
classifier	function specifying the classifier to fit. Should be a function with 2 arguments: formula and data. Please note that tsfeature_classifier z-scores data prior to modelling using the train set's information so disabling default scaling if your function uses it is recommended.

Value

data.frame of classification results

Author(s)

Trent Henderson

theftdlc documentation built on Aug. 8, 2025, 6:30 p.m.