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feat: hyperparamteroptimization for rnns and cnns (#923)
Closes #912 ### Summary of Changes New Features: - fit_by_exhaustive_search now also works for RNNs and CNNs - ClassificationMetrics and RegressionMetrics now also work for TimeSeriesDatasets, even when the predictions are of type list. - Raise Error when classifing time series data with continuous = True, as we dont currently support this use-case (since both classification and continuous predictions require the amount of neurons in the last layer to be set differently, according to either the number of classes or the number of values to predict; The output would have to be 2-dimensional) --------- Co-authored-by: megalinter-bot <[email protected]>
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