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Machine Learning models require training before they can be used to perform tasks.

Training Machine Learning Models

Training a model in Tiki is a one-step process. The model must have been created and fully configured with a data source tracker to be used for training. Tiki will check if the set source tracker contain any items (samples), and will halt the training process if there are none, and display an error message.

To train a model, go to the List Models page and click on the Actions button of the model, then select Train.

Click on Train in model's action menu to start training
Click on Train in model's action menu to start training


Model will be trained using items from source tracker and a success message will be shown on completion.

Success message after training
Success message after training

Testing the Model

Testing a model in Tiki is the same as training except that only a sample of the model is created and it is not saved. Call it dry training.

Clicking on Test in model's action menu will start test
Clicking on Test in model's action menu will start test

Test complete
Test complete


This feature is useful in checking to know if model can learn with the linked source tracker. To test a model, open the model's action menu and click on Test.

Attached files

ID Name Comment Uploaded Size Downloads
145 4-Model Tested Succesfully.png Success message after model test Nat Okpe 39.47 Kb 0
144 4-Models Actions Menu-Test.png Clicking on Test in model's action menu will start test Nat Okpe 41.45 Kb 0
143 4-Model Trained Succesfully.png Success message after training Nat Okpe 38.34 Kb 0
142 4-Models Actions Menu-Train.png Click on Train in model's action menu to start training Nat Okpe 41.42 Kb 0

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