So I have a TensorFlow model that I trained and it when I print the type of the data that I pass into the model to be trained, it is
<class 'tensorflow.python.data.ops.dataset_ops.MapDataset'>
Do I need to pass data of this same type into the model when I use .predict to make predictions from it or can I just pass it like a numpy array with the same dimensions?
This just tells you that you trained your model with a tf.data.Dataset
.
You can predict using a regular numpy array or a tensor, as long as it has the same input shape as the data you used to train the model on!
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