2023:Training Batch (Concept) - Revision history

Randallkinard at 15:44, 22 November 2024

2024-11-22T15:44:14Z

← Older revision		Revision as of 10:44, 22 November 2024
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	<br/>		<br/>

	~~== Glossary ==~~
	~~<u><big>'''Batch Process Step'''</big></u>: {{#lst:Glossary\|Batch Process Step}}~~

	~~<u><big>'''Batch Process'''</big></u>: {{#lst:Glossary\|Batch Process}}~~

	~~<u><big>'''Batch'''</big></u>: {{#lst:Glossary\|Batch}}~~

	~~<u><big>'''Classification Method'''</big></u>: {{#lst:Glossary\|Classification Method}}~~

	~~<u><big>'''Classification'''</big></u>: {{#lst:Glossary\|Classification}}~~

	~~<u><big>'''Classify'''</big></u>: {{#lst:Glossary\|Classify}}~~

	~~<u><big>'''Content Category'''</big></u>: {{#lst:Glossary\|Content Category}}~~

	~~<u><big>'''Content Model'''</big></u>: {{#lst:Glossary\|Content Model}}~~

	~~<u><big>'''Content Type'''</big></u>: {{#lst:Glossary\|Content Type}}~~

	~~<u><big>'''Extract'''</big></u>: {{#lst:Glossary\|Extract}}~~

	~~<u><big>'''Form Type'''</big></u>: {{#lst:Glossary\|Form Type}}~~

	~~<u><big>'''Lexical'''</big></u>: {{#lst:Glossary\|Lexical}}~~

	~~<u><big>'''Project'''</big></u>: {{#lst:Glossary\|Project}}~~

	~~<u><big>'''Review'''</big></u>: {{#lst:Glossary\|Review}}~~

	~~<u><big>'''TF-IDF'''</big></u>: {{#lst:Glossary\|TF-IDF}}~~

	~~<u><big>'''Training Batch'''</big></u>: {{#lst:Glossary\|Training Batch}}~~

Randallkinard at 15:33, 27 August 2024

2024-08-27T15:33:47Z

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 * [[Media:2023 Wiki Training-Batch Batch.zip]]
 |}
 ==About==
@@ Line 110: / Line 77: @@
 <br/>

Randallkinard at 18:27, 10 May 2024

2024-05-10T18:27:28Z

@@ Line 13: / Line 13: @@
 * [[Media:2023 Wiki Training-Batch Batch.zip]]
 |}
 ==About==

Randallkinard at 20:28, 23 April 2024

2024-04-23T20:28:51Z

← Older revision		Revision as of 15:28, 23 April 2024
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	{{AutoVersion}}		{{AutoVersion}}

	[[File:2023 Training Batch 01.png\|thumb\|275px\|This is a snippet of the '''Grooper Design Studio UI''' showing the '''Training Set''' batch.]]		[[File:2023 Training Batch 01.png\|thumb\|275px\|This is a snippet of the '''Grooper Design Studio UI''' showing the '''Training Set''' batch.]]
	~~<section begin="glossary" />~~
	<blockquote>		<blockquote>{{#lst:Glossary\|Training Batch}}</blockquote>
	~~The '''~~Training Set''' batch is more convenient way to work with all of the samples a Content Model has been trained against. You can also still look at the '''Form Types''' underneath each '''Content Type''', but the '''Training Set''' can show you all the samples in one place.
	</blockquote>
	~~<section end="glossary" />~~
	{\|class="download-box"		{\|class="download-box"
	\|		\|
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	* [[Media:2023 Wiki Training-Batch Batch.zip]]		* [[Media:2023 Wiki Training-Batch Batch.zip]]
	\|}		\|}

	==About==		==About==
	During the development and training of '''TF-IDF Classification''' in a '''Grooper Content Model''', it can be challenging to keep track of all of the samples that are used during training. In previous versions, each trained sample was stored under each content type in the Grooper Design Studio node tree. In 2.9, the trained samples are stored both under each content type and in the '''Training Set''' batch.		During the development and training of '''TF-IDF Classification''' in a '''Grooper Content Model''', it can be challenging to keep track of all of the samples that are used during training. In previous versions, each trained sample was stored under each content type in the Grooper Design Studio node tree. In 2.9, the trained samples are stored both under each content type and in the '''Training Set''' batch.

Dgreenwood: Dgreenwood moved page 2023:Training Batch to 2023:Training Batch (Concept) without leaving a redirect

2024-04-18T20:19:26Z

Dgreenwood moved page 2023:Training Batch to 2023:Training Batch (Concept) without leaving a redirect

← Older revision	Revision as of 15:19, 18 April 2024
(No difference)

Dgreenwood at 16:39, 4 April 2024

2024-04-04T16:39:28Z

← Older revision		Revision as of 11:39, 4 April 2024
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	</blockquote>		</blockquote>
	<section end="glossary" />		<section end="glossary" />
			{\|class="download-box"
			\|
			[[File:Asset 22@4x.png]]
			\|
			You may download the ZIP(s) below and upload it into your own Grooper environment (version 2023). The first contains a '''Project''' with resources used in examples throughout this article. The second contains one or more '''Batches''' of sample documents.
			* [[Media:2023 Wiki Training-Batch Project.zip]]
			* [[Media:2023 Wiki Training-Batch Batch.zip]]
			\|}
	==About==		==About==
	During the development and training of '''TF-IDF Classification''' in a '''Grooper Content Model''', it can be challenging to keep track of all of the samples that are used during training. In previous versions, each trained sample was stored under each content type in the Grooper Design Studio node tree. In 2.9, the trained samples are stored both under each content type and in the '''Training Set''' batch.		During the development and training of '''TF-IDF Classification''' in a '''Grooper Content Model''', it can be challenging to keep track of all of the samples that are used during training. In previous versions, each trained sample was stored under each content type in the Grooper Design Studio node tree. In 2.9, the trained samples are stored both under each content type and in the '''Training Set''' batch.

Dgreenwood: /* How To */

2024-04-04T16:39:20Z

How To

← Older revision		Revision as of 11:39, 4 April 2024
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	==How To==		==How To==

	~~{\|class="download-box"~~
	\|
	~~[[File:Asset 22@4x.png]]~~
	\|
	You may download the ZIP(s) below and upload it into your own Grooper environment (version 2023). The first contains a '''Project''' with resources used in examples throughout this article. The second contains one or more '''Batches''' of sample documents.
	* [[Media:2023 Wiki Training-Batch Project.zip]]
	* [[Media:2023 Wiki Training-Batch Batch.zip]]
	\|}


	{\|		{\|

Rpatton: zips // via Wikitext Extension for VSCode

2024-03-12T13:47:30Z

zips // via Wikitext Extension for VSCode

@@ Line 14: / Line 14: @@
 ==How To==
 {|
 | style="padding:25px; vertical-align:top" |

Dgreenwood at 14:06, 12 January 2024

2024-01-12T14:06:40Z

← Older revision		Revision as of 09:06, 12 January 2024
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	\|}		\|}

	{\|~~cellpadding~~="~~10" cellspacing="5~~"		{\|class="attn-box"
	\|~~-style="background-color:~~#~~f89420~~; ~~color:white"~~		\|
	\|~~style="font-size:14pt"\|'''!'''\|\|~~Some of the tabs in this tutorial are longer than the others. Please scroll to the bottom of each step's tab before going to the step.		⚠
			\|
			Some of the tabs in this tutorial are longer than the others. Please scroll to the bottom of each step's tab before going to the step.
	\|}		\|}

Dgreenwood at 18:00, 9 January 2024

2024-01-09T18:00:52Z

← Older revision		Revision as of 13:00, 9 January 2024
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	{{AutoVersion}}		{{AutoVersion}}
	[[File:2023 Training Batch 01.png\|thumb\|275px\|This is a snippet of the '''Grooper Design Studio UI''' showing the '''Training Set''' batch.]]		[[File:2023 Training Batch 01.png\|thumb\|275px\|This is a snippet of the '''Grooper Design Studio UI''' showing the '''Training Set''' batch.]]
			<section begin="glossary" />
	<~~blockquote style~~="~~font-size:14pt~~">		<blockquote>
	The '''Training Set''' batch is more convenient way to work with all of the samples a Content Model has been trained against. You can also still look at the '''Form Types''' underneath each '''Content Type''', but the '''Training Set''' can show you all the samples in one place.		The '''Training Set''' batch is more convenient way to work with all of the samples a Content Model has been trained against. You can also still look at the '''Form Types''' underneath each '''Content Type''', but the '''Training Set''' can show you all the samples in one place.
	</blockquote>		</blockquote>
	</p>~~<br/>~~		<section end="glossary" />


	==About==		==About==

← Older revision		Revision as of 10:44, 22 November 2024
Line 77:		Line 77:

	<br/>		<br/>

	~~== Glossary ==~~
	~~<u><big>'''Batch Process Step'''</big></u>: {{#lst:Glossary\|Batch Process Step}}~~

	~~<u><big>'''Batch Process'''</big></u>: {{#lst:Glossary\|Batch Process}}~~

	~~<u><big>'''Batch'''</big></u>: {{#lst:Glossary\|Batch}}~~

	~~<u><big>'''Classification Method'''</big></u>: {{#lst:Glossary\|Classification Method}}~~

	~~<u><big>'''Classification'''</big></u>: {{#lst:Glossary\|Classification}}~~

	~~<u><big>'''Classify'''</big></u>: {{#lst:Glossary\|Classify}}~~

	~~<u><big>'''Content Category'''</big></u>: {{#lst:Glossary\|Content Category}}~~

	~~<u><big>'''Content Model'''</big></u>: {{#lst:Glossary\|Content Model}}~~

	~~<u><big>'''Content Type'''</big></u>: {{#lst:Glossary\|Content Type}}~~

	~~<u><big>'''Extract'''</big></u>: {{#lst:Glossary\|Extract}}~~

	~~<u><big>'''Form Type'''</big></u>: {{#lst:Glossary\|Form Type}}~~

	~~<u><big>'''Lexical'''</big></u>: {{#lst:Glossary\|Lexical}}~~

	~~<u><big>'''Project'''</big></u>: {{#lst:Glossary\|Project}}~~

	~~<u><big>'''Review'''</big></u>: {{#lst:Glossary\|Review}}~~

	~~<u><big>'''TF-IDF'''</big></u>: {{#lst:Glossary\|TF-IDF}}~~

	~~<u><big>'''Training Batch'''</big></u>: {{#lst:Glossary\|Training Batch}}~~