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Training is the part of machine learning whereby a model is "trained" on a define portion of a dataset to learn attributes and statistical features of the data. It's counterparts are called Testing and Validation. After training a model is tested and validated on another portion of the dataset.

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Train and predict on different data structures

But there is a catch : the prediction/classification input has not the same shape as the training input. …
Carlos Miranda's user avatar