process_x_sequential: Process Predictor Input for Keras
In kerasnip: A Bridge Between 'keras' and 'tidymodels'

View source: R/utils.R

process_x_sequential

R Documentation

Process Predictor Input for Keras

Description

Preprocesses predictor data (x) into a format suitable for Keras models. Handles both tabular data and list-columns of arrays (e.g., for images).

Usage

process_x_sequential(x)

Arguments

`x`	A data frame or matrix of predictors.

Value

A list containing:

x_proc: The processed predictor data (matrix or array).
input_shape: The determined input shape for the Keras model.

kerasnip documentation built on Sept. 4, 2026, 1:06 a.m.

kerasnip index

README.md Building Functional Models with kerasnip Getting Started with kerasnip Multi-Step Time Series Forecasting with kerasnip Post-Processing Multi-Output and Multistep Models with tailor and probably Prediction Intervals with Conformal Inference Saving and Reloading Fitted Kerasnip Workflows The Sequential Model with kerasnip Tidymodels Workflow with Functional Keras Models (Multi-Input) Tidymodels Workflow with Sequential Keras Models Transfer Learning with Keras Applications Tuning Fit and Compile Arguments Tuning Multiple Similar Parameters: Ensuring `autoplot` Uniqueness

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