Orange: CN2 Rule Viewer - Revision history

Onnowpurbo: /* Output */

2020-04-09T02:38:59Z

Output

← Older revision		Revision as of 02:38, 9 April 2020
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	Widget CN2 Rule Viewer dapat menampilkan CN2 classification rules. Jika ada data yang tersambung, kita bisa menganalisa instance mana yang patuh pada kondisi yang di atur oleh rules.		Widget CN2 Rule Viewer dapat menampilkan CN2 classification rules. Jika ada data yang tersambung, kita bisa menganalisa instance mana yang patuh pada kondisi yang di atur oleh rules.

			[[File:CN2RuleViewer-stamped.png\|center\|600px\|thumb]]
	[[File:CN2RuleViewer-stamped.png\|center\|~~200px~~\|thumb]]

	* Original order of induced rules can be restored.		* Original order of induced rules can be restored.

Onnowpurbo: /* Contoh */

2020-04-09T02:38:19Z

Contoh

← Older revision		Revision as of 02:38, 9 April 2020
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	[[File:CN2-Viewer-Example1.png\|center\|600px\|thumb]]		[[File:CN2-Viewer-Example1.png\|center\|600px\|thumb]]

	Pemilihan ~~keluaran~~		Pemilihan sebuah rule akan mengeluarkan data instance tertentu yang terfilter. Ini dapat dilihat di widget Data Table.

	==Referensi==		==Referensi==

Onnowpurbo: /* Contoh */

2020-04-09T02:37:02Z

Contoh

← Older revision		Revision as of 02:37, 9 April 2020
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	==Contoh==		==Contoh==

	~~In the schema below~~, ~~the most common use of the~~ widget ~~is presented. First~~, ~~the~~ data ~~is read and a~~ CN2 rule classifier ~~is trained~~. ~~We are using~~ titanic ~~dataset for the~~ rule ~~construction~~. ~~The rules are then viewed using the~~ Rule Viewer. ~~To explore different~~ CN2 ~~algorithms and understand how adjusting parameters influences the~~ learning ~~process~~, Rule Viewer ~~should be kept~~ open ~~and in sight, while~~ setting ~~the~~ CN2 learning algorithm (~~the presentation will be updated promptly~~).		Workflow di bawah adalah penggunaan sederhana widgetCN2 Rule Viewer. Pertama-tama, menggunakan widget File, data di load dan CN2 rule classifier di train. Kita menggunakan dataset titanic untuk membangun rule. Rules dapat dilihat menggunakan widget Rule Viewer. Untuk mengexplorasi berbagai alogitma CN2 dan mengerti bagaimana pengaturan parameter mempengaruhi proses learning, widget Rule Viewer harus terus open dan dalam penglihatan. Sehingga saat setting CN2 learning algorithm (hasilnya dapat langsung terupdate).

	[[File:CN2-Viewer-Example1.png\|center\|600px\|thumb]]		[[File:CN2-Viewer-Example1.png\|center\|600px\|thumb]]

	~~Selecting a rule outputs filtered data instances. These can be viewed in a Data Table.~~		Pemilihan keluaran




	==Referensi==		==Referensi==

Onnowpurbo at 02:31, 9 April 2020

2020-04-09T02:31:45Z

← Older revision		Revision as of 02:31, 9 April 2020
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	Sumber: https://docs.biolab.si//3/visual-programming/widgets/visualize/cn2ruleviewer.html		Sumber: https://docs.biolab.si//3/visual-programming/widgets/visualize/cn2ruleviewer.html



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	Filtered Data: data instances covered by all selected rules		Filtered Data: data instances covered by all selected rules

	~~A widget that displays~~ CN2 classification rules. If data ~~is also connected~~, ~~upon rule selection, one can analyze which instances abide to the conditions~~.		Widget CN2 Rule Viewer dapat menampilkan CN2 classification rules. Jika ada data yang tersambung, kita bisa menganalisa instance mana yang patuh pada kondisi yang di atur oleh rules.


	[[File:CN2RuleViewer-stamped.png\|center\|200px\|thumb]]		[[File:CN2RuleViewer-stamped.png\|center\|200px\|thumb]]
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	In the schema below, the most common use of the widget is presented. First, the data is read and a CN2 rule classifier is trained. We are using titanic dataset for the rule construction. The rules are then viewed using the Rule Viewer. To explore different CN2 algorithms and understand how adjusting parameters influences the learning process, Rule Viewer should be kept open and in sight, while setting the CN2 learning algorithm (the presentation will be updated promptly).		In the schema below, the most common use of the widget is presented. First, the data is read and a CN2 rule classifier is trained. We are using titanic dataset for the rule construction. The rules are then viewed using the Rule Viewer. To explore different CN2 algorithms and understand how adjusting parameters influences the learning process, Rule Viewer should be kept open and in sight, while setting the CN2 learning algorithm (the presentation will be updated promptly).

	[[File:CN2-Viewer-Example1.png\|center\|~~200px~~\|thumb]]		[[File:CN2-Viewer-Example1.png\|center\|600px\|thumb]]

	Selecting a rule outputs filtered data instances. These can be viewed in a Data Table.		Selecting a rule outputs filtered data instances. These can be viewed in a Data Table.

Onnowpurbo at 02:14, 28 January 2020

2020-01-28T02:14:57Z

← Older revision		Revision as of 02:14, 28 January 2020
Line 5:		Line 5:
	CN2 Rule Viewer		CN2 Rule Viewer

	~~Inputs~~		==Input==

	Data: dataset to filter		Data: dataset to filter
	CN2 Rule Classifier: CN2 Rule Classifier, including a list of induced rules		CN2 Rule Classifier: CN2 Rule Classifier, including a list of induced rules

	~~Outputs~~		==Output==

	Filtered Data: data instances covered by all selected rules		Filtered Data: data instances covered by all selected rules

	A widget that displays CN2 classification rules. If data is also connected, upon rule selection, one can analyze which instances abide to the conditions.		A widget that displays CN2 classification rules. If data is also connected, upon rule selection, one can analyze which instances abide to the conditions.
Line 18:		Line 18:
	[[File:CN2RuleViewer-stamped.png\|center\|200px\|thumb]]		[[File:CN2RuleViewer-stamped.png\|center\|200px\|thumb]]

	Original order of induced rules can be restored.		* Original order of induced rules can be restored.
			* When rules are many and complex, the view can appear packed. For this reason, compact view was implemented, which allows a flat presentation and a cleaner inspection of rules.
	When rules are many and complex, the view can appear packed. For this reason, compact view was implemented, which allows a flat presentation and a cleaner inspection of rules.		* Click Report to bring up a detailed description of the rule induction algorithm and its parameters, the data domain, and induced rules.
	Click Report to bring up a detailed description of the rule induction algorithm and its parameters, the data domain, and induced rules.

	Additionally, upon selection, rules can be copied to clipboard by pressing the default system shortcut (ctrl+C, cmd+C).		Additionally, upon selection, rules can be copied to clipboard by pressing the default system shortcut (ctrl+C, cmd+C).

Onnowpurbo at 01:07, 23 January 2020

2020-01-23T01:07:09Z

← Older revision		Revision as of 01:07, 23 January 2020
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	Data: dataset to filter		Data: dataset to filter

	CN2 Rule Classifier: CN2 Rule Classifier, including a list of induced rules		CN2 Rule Classifier: CN2 Rule Classifier, including a list of induced rules

Onnowpurbo at 01:07, 23 January 2020

2020-01-23T01:07:00Z

← Older revision		Revision as of 01:07, 23 January 2020
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	A widget that displays CN2 classification rules. If data is also connected, upon rule selection, one can analyze which instances abide to the conditions.		A widget that displays CN2 classification rules. If data is also connected, upon rule selection, one can analyze which instances abide to the conditions.

	~~../../_images/~~CN2RuleViewer-stamped.png		[[File:CN2RuleViewer-stamped.png\|center\|200px\|thumb]]

	Original order of induced rules can be restored.		Original order of induced rules can be restored.

	When rules are many and complex, the view can appear packed. For this reason, compact view was implemented, which allows a flat presentation and a cleaner inspection of rules.		When rules are many and complex, the view can appear packed. For this reason, compact view was implemented, which allows a flat presentation and a cleaner inspection of rules.

	Click Report to bring up a detailed description of the rule induction algorithm and its parameters, the data domain, and induced rules.		Click Report to bring up a detailed description of the rule induction algorithm and its parameters, the data domain, and induced rules.

	Additionally, upon selection, rules can be copied to clipboard by pressing the default system shortcut (ctrl+C, cmd+C).		Additionally, upon selection, rules can be copied to clipboard by pressing the default system shortcut (ctrl+C, cmd+C).
	~~Examples~~
			==Contoh==

	In the schema below, the most common use of the widget is presented. First, the data is read and a CN2 rule classifier is trained. We are using titanic dataset for the rule construction. The rules are then viewed using the Rule Viewer. To explore different CN2 algorithms and understand how adjusting parameters influences the learning process, Rule Viewer should be kept open and in sight, while setting the CN2 learning algorithm (the presentation will be updated promptly).		In the schema below, the most common use of the widget is presented. First, the data is read and a CN2 rule classifier is trained. We are using titanic dataset for the rule construction. The rules are then viewed using the Rule Viewer. To explore different CN2 algorithms and understand how adjusting parameters influences the learning process, Rule Viewer should be kept open and in sight, while setting the CN2 learning algorithm (the presentation will be updated promptly).

	~~../../_images/~~CN2-Viewer-Example1.png		[[File:CN2-Viewer-Example1.png\|center\|200px\|thumb]]

	Selecting a rule outputs filtered data instances. These can be viewed in a Data Table.		Selecting a rule outputs filtered data instances. These can be viewed in a Data Table.

Onnowpurbo at 12:09, 12 January 2020

2020-01-12T12:09:38Z

← Older revision		Revision as of 12:09, 12 January 2020
Line 1:		Line 1:
	Sumber: https://docs.biolab.si//3/visual-programming/widgets/visualize/cn2ruleviewer.html		Sumber: https://docs.biolab.si//3/visual-programming/widgets/visualize/cn2ruleviewer.html



			CN2 Rule Viewer

			Inputs

			Data: dataset to filter

			CN2 Rule Classifier: CN2 Rule Classifier, including a list of induced rules

			Outputs

			Filtered Data: data instances covered by all selected rules

			A widget that displays CN2 classification rules. If data is also connected, upon rule selection, one can analyze which instances abide to the conditions.

			../../_images/CN2RuleViewer-stamped.png

			Original order of induced rules can be restored.

			When rules are many and complex, the view can appear packed. For this reason, compact view was implemented, which allows a flat presentation and a cleaner inspection of rules.

			Click Report to bring up a detailed description of the rule induction algorithm and its parameters, the data domain, and induced rules.

			Additionally, upon selection, rules can be copied to clipboard by pressing the default system shortcut (ctrl+C, cmd+C).
			Examples

			In the schema below, the most common use of the widget is presented. First, the data is read and a CN2 rule classifier is trained. We are using titanic dataset for the rule construction. The rules are then viewed using the Rule Viewer. To explore different CN2 algorithms and understand how adjusting parameters influences the learning process, Rule Viewer should be kept open and in sight, while setting the CN2 learning algorithm (the presentation will be updated promptly).

			../../_images/CN2-Viewer-Example1.png

			Selecting a rule outputs filtered data instances. These can be viewed in a Data Table.

Onnowpurbo: Created page with "Sumber: https://docs.biolab.si//3/visual-programming/widgets/visualize/cn2ruleviewer.html ==Referensi== * https://docs.biolab.si//3/visual-programming/widgets/visualize/c..."

2020-01-12T12:09:19Z

Created page with "Sumber: https://docs.biolab.si//3/visual-programming/widgets/visualize/cn2ruleviewer.html ==Referensi== * https://docs.biolab.si//3/visual-programming/widgets/visualize/c..."

New page

Sumber: https://docs.biolab.si//3/visual-programming/widgets/visualize/cn2ruleviewer.html

==Referensi==

* https://docs.biolab.si//3/visual-programming/widgets/visualize/cn2ruleviewer.html

==Pranala Menarik==

* [[Orange]]