UnsupervisedModelParams

<p>This step allows one to create test models on your data
and helps determine which performs best.</p>

datasets

A machine learning toolbox tailored to healthcare data.
Aids in data cleaning, model development, hyperparameter tuning, and model
deployment in a production 'SQL' environment. Algorithms currently supported
are Lasso, Random Forest, Extreme Gradient Boosting, K-means clustering, and Linear Mixed Modeling.

Michael Levy

healthcareai

Tools for Healthcare Machine Learning

Levi Thatcher

Mike Mastanduno

Taylor Larsen

Taylor Miller

UnsupervisedModelParams function

<p>An object of class <code>R6ClassGenerator</code> of length 24.</p>

Format

UnsupervisedModelParams class to set up parameters required to build UnsupervisedModel classes — UnsupervisedModelParams

UnsupervisedModelParams class to set up parameters required to build UnsupervisedModel classes

UnsupervisedModelParams: UnsupervisedModelParams class to set up parameters required to build UnsupervisedModel classes

Description

Usage

Arguments

Format

References

See Also