Comments (1)
Test and Score widgets needs learning algorithms and data. You only provided the algorithms, but not the data.
Widgets like Logistic Regression have two outputs. One gives the learning algorithms (with hyperparameters, such as regularization) that you set in the widget. The other is a trained model, that is, a model built from the data provided to the widget. The second output is only active if the widget receives the data. In your case, it does.
However, Test and Score cannot used a trained model, it needs a learning algorithm. Test and Score does cross-validation, or testing on separate test data or something similar. Test and Score takes the training data, uses the provided learning algorithm to create a model and then tests this model on testing data.
So if you double-click the connection between any of the three learning algorithms and Test and Score you'll see this:
Since Test and Score does not use the Model, you do not need to give those three widgets the data. On the other hand, data needs to go to Test and Score. The proper workflow is
If you wish, you can keep the connections between Image Embedding and learners, but they won't have any effect in your case.
See the documentation.
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