[Core] Check input for NaNs

[jmoralez]

Description

If any of the inputs contains NaNs with available_mask = 1 they will be used for training and can be propagated to the predictions or produce failures in training. We should check that the target, exogenous and static features don't have any NaNs for the rows where available_mask = 1 and provide an informative error message if they do.

Use case

This will help saving time when trying to train models on invalid inputs, since it will fail before starting the training process.

[cchallu]

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[JQGoh]

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[jmoralez]

Fixed by #894

[cchallu]

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