under_threshold

above_threshold

is_within

metric_within_tolerance

<p>a <code>partition_step</code> object</p>

.partition_step

<p><code>under_threshold()</code> and <code>above_threshold()</code> check relative location of the
metric. <code>metric_within_tolerance()</code> uses <code>is_within()</code> to check if the metric
is within in the range of the threshold plus/minus the tolerance.</p>

internal

A fast and flexible framework for agglomerative partitioning. 'partition' uses an approach
called Direct-Measure-Reduce to create new variables that maintain the
user-specified minimum level of information. Each reduced variable is also interpretable:
the original variables map to one and only one variable in the reduced data set. 'partition'
is flexible, as well: how variables are selected to reduce, how information loss is measured,
and the way data is reduced can all be customized.

Malcolm Barrett

partition

Agglomerative Partitioning Framework for Dimension Reduction

Joshua Millstein

under_threshold function

Compare metric to threshold — under_threshold

Compare metric to threshold

under_threshold: Compare metric to threshold

Description

Usage

Arguments

Value