Orange: Save Model - Revision history

Onnowpurbo: /* Contoh */

2020-04-06T04:28:02Z

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2020-04-06T04:27:48Z

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2020-04-06T04:27:19Z

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2020-02-21T09:06:20Z

2020-01-28T04:36:00Z

2020-01-23T03:32:59Z

2020-01-16T07:21:00Z

2019-07-09T23:35:21Z

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[[File:Orange-SaveModel-example.png|center|400px|thumb]]

@@ Line 18: / Line 18: @@
 ==Contoh==
-Saat kita ingin menyimpan model yang di set khusus, masukkan data ke model (mis. Logistic Regression) dan connect ke widget Save Model. Beri nama model; load ke workflow dengan Load Model. Dataset yang digunakan dengan widget Load Model harus mengandung atribut yang kompatibel.
+Saat kita ingin menyimpan model yang di set khusus, masukkan data ke model (mis. Logistic Regression) dan connect ke widget Save Model. Beri nama model; load ke workflow dengan widget Load Model. Dataset yang digunakan dengan widget Load Model harus mengandung atribut yang kompatibel.
 [[File:Orange-SaveModel-example.png|center|400px|thumb]]

@@ Line 18: / Line 18: @@
 ==Contoh==
-Saat kita ingin menyimpan model yang di set khusus, masukkan data ke model (mis. Logistic Regression) dan connect ke Save Model. Beri nama model; load ke workflow dengan Load Model. Dataset yang digunakan dengan widget Load Model harus mengandung atribut yang kompatibel.
+Saat kita ingin menyimpan model yang di set khusus, masukkan data ke model (mis. Logistic Regression) dan connect ke widget Save Model. Beri nama model; load ke workflow dengan Load Model. Dataset yang digunakan dengan widget Load Model harus mengandung atribut yang kompatibel.
 [[File:Orange-SaveModel-example.png|center|400px|thumb]]

@@ Line 18: / Line 18: @@
 ==Contoh==
-Saat kita ingin menyimpan model yang di set khusus, masukkan data ke model (mis. Regresi Logistik) dan connect ke Save Model. Beri nama model; load ke workflow dengan Load Model. Dataset yang digunakan dengan Load Model harus mengandung atribut yang kompatibel.
+Saat kita ingin menyimpan model yang di set khusus, masukkan data ke model (mis. Logistic Regression) dan connect ke Save Model. Beri nama model; load ke workflow dengan Load Model. Dataset yang digunakan dengan widget Load Model harus mengandung atribut yang kompatibel.
 [[File:Orange-SaveModel-example.png|center|400px|thumb]]
 ==Referensi==

@@ Line 1: / Line 1: @@
 Sumber: https://docs.biolab.si//3/visual-programming/widgets/model/savemodel.html
-Save a trained model to an output file.
+Menyimpan trained model ke sebuah output file.
 ==Input==
@@ Line 18: / Line 18: @@
 ==Contoh==
-When you want to save a custom-set model, feed the data to the model (e.g. Logistic Regression) and connect it to Save Model. Name the model; load it later into workflows with Load Model. Datasets used with Load Model have to contain compatible attributes.
+Saat kita ingin menyimpan model yang di set khusus, masukkan data ke model (mis. Regresi Logistik) dan connect ke Save Model. Beri nama model; load ke workflow dengan Load Model. Dataset yang digunakan dengan Load Model harus mengandung atribut yang kompatibel.
 [[File:Orange-SaveModel-example.png|center|400px|thumb]]

@@ Line 3: / Line 3: @@
 Save a trained model to an output file.
-Inputs
+==Input==
-    Model: trained model
+ Model: trained model
 [[File:SaveModel-stamped.png|center|200px|thumb]]
-    Choose from previously saved models.
+* Choose from previously saved models.
-    Save the created model with the Browse icon. Click on the icon and enter the name of the file. The model will be saved to a pickled file.
+* Save the created model with the Browse icon. Click on the icon and enter the name of the file. The model will be saved to a pickled file.
 [[File:SaveModel-save.png|center|200px|thumb]]
-    Save the model.
+* Save the model.
 ==Contoh==

← Older revision		Revision as of 07:21, 16 January 2020
Line 1:		Line 1:
		+	Sumber: https://docs.biolab.si//3/visual-programming/widgets/model/savemodel.html
		+
		+	Save a trained model to an output file.
		+
		+	Inputs
		+
		+	Model: trained model
		+
		+	../../_images/SaveModel-stamped.png
		+
		+	Choose from previously saved models.
		+
		+	Save the created model with the Browse icon. Click on the icon and enter the name of the file. The model will be saved to a pickled file. ../../_images/SaveModel-save.png
		+
		+	Save the model.
		+
		+	Example
		+
		+	When you want to save a custom-set model, feed the data to the model (e.g. Logistic Regression) and connect it to Save Model. Name the model; load it later into workflows with Load Model. Datasets used with Load Model have to contain compatible attributes.
		+
		+	../../_images/SaveModel-example.png
		+
		+

	[[File:Orange-SaveModel-example.png\|center\|400px\|thumb]]		[[File:Orange-SaveModel-example.png\|center\|400px\|thumb]]
		+
		+
		+	==Referensi==
		+
		+	* https://docs.biolab.si//3/visual-programming/widgets/model/savemodel.html
		+
		+	==Pranala Menarik==
		+
		+	* [[Orange]]