mlapiTransformationOnline

Base class for all online transformations. This class inherits from <a rd-options="" href="/link/mlapiTransformation?package=mlapi&version=0.1.1" data-mini-rdoc="mlapi::mlapiTransformation">mlapiTransformation</a> and
additionally requires to implement <code>$partial_fit(x, y, ...)</code> method. Idea is that user can pass
<code>x, y</code> in chunks and model will be updated/refined incrementally.

datasets

Provides 'R6' abstract classes for building machine learning models
with 'scikit-learn' like API. <https://scikit-learn.org/> is a popular module
for 'Python' programming language which design became de facto a standard
in industry for machine learning tasks.

Dmitriy Selivanov

mlapi

Abstract Classes for Building 'scikit-learn' Like API

mlapiTransformationOnline function

Format

<dl class="dl-horizontal">
 <dt><code>$fit_transform(x, y = NULL, ...)</code></dt><dd></dd>
 <dt><code>$transform(x, ...)</code></dt><dd>Performs transformation of the new data (after model was trained)</dd>
</dl>

Methods

<dl class="dl-horizontal">
 <dt>x</dt><dd>A matrix like object, should inherit from <code>Matrix</code> or <code>matrix</code>.
 Allowed classes should be defined in child classes.</dd>
 <dt>y</dt><dd><code>NULL</code>. Optional taget variable. Usually this should be <code>NULL</code>.
 There few cases when it could be used.</dd>
 <dt>...</dt><dd>additional parameters with default values</dd>
</dl>

Arguments

Base class for all online transformations. This class inherits from <a rd-options='' href='mlapiTransformation'>mlapiTransformation</a> and
additionally requires to implement <code>$partial_fit(x, y, ...)</code> method. Idea is that user can pass
<code>x, y</code> in chunks and model will be updated/refined incrementally.

mlapiTransformationOnline: Base abstract class for all transformations which can be trained incremendally (online)

Description

Usage

Format

Methods

Arguments