predict_model.model_fit

<p>Shim for parsnip model objects so that lime's predict_model generic ignores
unused arguments passed via `...`.</p>

internal

Provides a guarded resampling workflow for training and evaluating machine‑learning models.
When the guarded resampling path is used, preprocessing and model fitting are re‑estimated within
each resampling split to reduce leakage risk. Supports multiple resampling schemes, integrates
with established engines in the 'tidymodels' ecosystem, and aims to improve evaluation reliability by
coordinating preprocessing, fitting, and evaluation within supported workflows. Offers a lightweight
AutoML‑style workflow by automating model training, resampling, and tuning across multiple algorithms,
while keeping evaluation design explicit and user‑controlled.

Selcuk Korkmaz

fastml

Guarded Resampling Workflows for Safe and Automated Machine
Learning in R

Dincer Goksuluk

Eda Karaismailoglu

predict_model.model_fit function

Internal predict_model method for parsnip fits — predict_model.model_fit

Internal predict_model method for parsnip fits

predict_model.model_fit: Internal predict_model method for parsnip fits

Description

Usage

Arguments