convert_survival_predictions

Attempts to convert various survival prediction formats (e.g., list of
data frames from <code>predict.model_fit</code> with type "survival", matrices)
into a standardized <code>[n_obs, n_eval_times]</code> matrix.

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

convert_survival_predictions function

<dl><dt>pred_obj</dt>
<dd>The prediction object.</dd>
<dt>eval_times</dt>
<dd>Numeric vector of evaluation times.</dd>
<dt>n_obs</dt>
<dd>Expected number of observations (rows).</dd></dl>

Arguments

Convert Various Prediction Formats to Survival Matrix — convert_survival_predictions

<dl>

<dt>pred_obj</dt>
<dd>The prediction object.</dd>


<dt>eval_times</dt>
<dd>Numeric vector of evaluation times.</dd>


<dt>n_obs</dt>
<dd>Expected number of observations (rows).</dd>

</dl>

convert_survival_predictions: Convert Various Prediction Formats to Survival Matrix

Description

Usage

Value

Arguments