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	<title>Lazy learning - Revision history</title>
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	<updated>2026-05-11T06:13:38Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://machinelearning.subwiki.org/w/index.php?title=Lazy_learning&amp;diff=60&amp;oldid=prev</id>
		<title>Vipul: Created page with &quot;==Definition==  &#039;&#039;&#039;Lazy learning&#039;&#039;&#039; refers to a form of machine learning where generalization beyond the training set is delayed until a query is made to the system. T...&quot;</title>
		<link rel="alternate" type="text/html" href="https://machinelearning.subwiki.org/w/index.php?title=Lazy_learning&amp;diff=60&amp;oldid=prev"/>
		<updated>2014-06-22T16:53:56Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;==Definition==  &amp;#039;&amp;#039;&amp;#039;Lazy learning&amp;#039;&amp;#039;&amp;#039; refers to a form of &lt;a href=&quot;/wiki/Machine_learning&quot; title=&quot;Machine learning&quot;&gt;machine learning&lt;/a&gt; where generalization beyond the &lt;a href=&quot;/wiki/Training_set&quot; title=&quot;Training set&quot;&gt;training set&lt;/a&gt; is delayed until a query is made to the system. T...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;==Definition==&lt;br /&gt;
&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;Lazy learning&amp;#039;&amp;#039;&amp;#039; refers to a form of [[machine learning]] where generalization beyond the [[training set]] is delayed until a query is made to the system. This is opposed to [[eager learning]], where there is a preprocessing step where the training set is used to learn a functional form for the prediction function.&lt;br /&gt;
&lt;br /&gt;
==Situations where lazy learning is appropriate==&lt;br /&gt;
&lt;br /&gt;
* Lazy learning is suited for situations where the entire training set can be stored or can be quickly retrieved for each instance where a new prediction needs to be made. For situations where the training set is too large to store or retrieve for each instance of prediction, lazy learning is not possible.&lt;br /&gt;
* Lazy learning is best suited for situations where computing the value of the prediction function at one point requires only a strategically determined subset of the training set, rather than the whole training set, and/or situations where there are ways of computing the prediction function at a particular point that do not entail finding a closed form for the prediction function globally.&lt;/div&gt;</summary>
		<author><name>Vipul</name></author>
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