process_y_sequential: Process Outcome Input for Keras

In kerasnip: A Bridge Between 'keras' and 'tidymodels'

Process Outcome Input for Keras

Description

Preprocesses outcome data (y) into a format suitable for Keras models. Handles both regression (numeric) and classification (factor) outcomes, including one-hot encoding for classification.

Usage

process_y_sequential(y, is_classification = NULL, class_levels = NULL)

Arguments

y	A vector of outcomes.
is_classification	Logical, optional. If TRUE, treats y as classification. If FALSE, treats as regression. If NULL (default), it's determined from is.factor(y).
class_levels	Character vector, optional. The factor levels for classification outcomes. If NULL (default), determined from levels(y).

Value

A list containing:

• y_proc: The processed outcome data (matrix or one-hot encoded array).

• is_classification: Logical, indicating if y was treated as classification.

• num_classes: Integer, the number of classes for classification, or NULL.

• class_levels: Character vector, the factor levels for classification, or NULL.

kerasnip documentation built on Nov. 5, 2025, 7:32 p.m.