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Training Machine Learning ModelsTraining 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.
Testing the ModelTesting 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.
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