How to use Cross Validation data set?

Question

I am new to data science, and the dataset I am working on is divided into train set, test set, and validation set.
However, till now I was splitting the data with train_test_split. I expected model.fit() would have an option like validation =. But, there is none.
How I can use the CV set to improve results?

Ivan Petrovic Markovic · Answer

Well, there are ways to do it within model.fit(). Namely, you can define validation_split parameter, (e.g. 0.2 or 0.3) which represents a percentage of the data that will be used as a validation in training (0.2 = 20%, 0.3 = 30%).
The second way, when you have your validation data, is to use validation_data = (x_val, y_val), where you just pass your validation x and y

How to use Cross Validation data set?

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