Orange: Save Model: Difference between revisions

From OnnoCenterWiki
Jump to navigationJump to search
Onnowpurbo (talk | contribs)
No edit summary
Onnowpurbo (talk | contribs)
 
(4 intermediate revisions by the same user not shown)
Line 1: Line 1:
Sumber: https://docs.biolab.si//3/visual-programming/widgets/model/savemodel.html
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.


Inputs
==Input==


    Model: trained model
Model: trained model


[[File:SaveModel-stamped.png|center|200px|thumb]]
[[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]]
[[File:SaveModel-save.png|center|200px|thumb]]


    Save the model.
* Save the model.


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


==Referensi==
==Referensi==

Latest revision as of 04:28, 6 April 2020

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

Menyimpan trained model ke sebuah output file.

Input

Model: trained model
  • 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 model.

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 widget Load Model. Dataset yang digunakan dengan widget Load Model harus mengandung atribut yang kompatibel.

Referensi

Pranala Menarik