Difference between revisions of "Orange: Save Model"

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     Model: trained model
 
     Model: trained model
  
../../_images/SaveModel-stamped.png
+
[[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. ../../_images/SaveModel-save.png
+
[[File:SaveModel-save.png|center|200px|thumb]]
  
 
     Save the model.
 
     Save the model.
  
Example
+
==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.
 
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]]
 
  
  

Revision as of 10:32, 23 January 2020

Sumber: https://docs.biolab.si//3/visual-programming/widgets/model/savemodel.html

Save a trained model to an output file.

Inputs

   Model: trained model
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.
SaveModel-save.png
   Save the model.

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.

Orange-SaveModel-example.png



Referensi

Pranala Menarik