calcMonteCarlo

Specifies the <code>ExprsPipeline</code> object returned by <code>plMonteCarlo</code>.

A character vector or string. Specifies column(s) to use when
summarizing classifier performance. Listing multiple columns will calculate
performance as a product of those listed performances.

colBy


<code>calcMonteCarlo</code> calculates a single performance measure for the
 results of a <code>plMonteCarlo</code> function call.


Supervised machine learning has an increasingly important role in biological
studies. However, the sheer complexity of classification pipelines poses a significant
barrier to the expert biologist unfamiliar with machine learning. Moreover,
many biologists lack the time or technical skills necessary to establish their own
pipelines. This package introduces a framework for the rapid implementation of
high-throughput supervised machine learning built with the biologist user in mind.
Written by biologists, for biologists, this package provides a user-friendly interface
that empowers investigators to execute state-of-the-art binary and multi-class
classification, including deep learning, with minimal programming
experience necessary.

calcMonteCarlo: Calculate `plMonteCarlo` Performance

Description

Usage

Arguments

Value

Details