.load_iterations

Loads iterations generated by <code>.create_iterations</code> that were created in a
previous session. If these are not available, this is indicated by setting a
return flag.

internal

Single unified interface for end-to-end modelling of regression,
categorical and time-to-event (survival) outcomes. Models created using
familiar are self-containing, and their use does not require additional
information such as baseline survival, feature clustering, or feature
transformation and normalisation parameters. Model performance,
calibration, risk group stratification, (permutation) variable importance,
individual conditional expectation, partial dependence, and more, are
assessed automatically as part of the evaluation process and exported in
tabular format and plotted, and may also be computed manually using export
and plot functions. Where possible, metrics and values obtained during the
evaluation process come with confidence intervals.

Alex Zwanenburg

familiar

End-to-End Automated Machine Learning and Model Evaluation

Steffen Löck

Stefan Leger

Iram Shahzadi

Asier Rabasco Meneghetti

Sebastian Starke

Technische Universität Dresden 

German Cancer Research Center (DKFZ) 

.load_iterations function

<dl><dt>file_dir</dt>
<dd>Path to directory where iteration files are stored.</dd></dl>

Arguments

Internal function for loading iteration data from the file system — .load_iterations

<dl>

<dt>file_dir</dt>
<dd>Path to directory where iteration files are stored.</dd>

</dl>

Internal function for loading iteration data from the file system

.load_iterations: Internal function for loading iteration data from the file system

Description

Usage

Value

Arguments