Data Regularization being done on input chunks in SklNeurNetEstimator

[eacharles]

Bug report

We don't really use SklNeurNetEstimator, but it has these lines:

        color_data = make_color_data(
            data, self.config.bands, self.config.ref_band, self.config.nondetect_val
        )
        input_data = regularize_data(color_data)
        zmode = np.round(self.model.predict(input_data), 3)

Which result in getting different numbers for subsets of data that when input the full data, because the regularize_data is only being called on the subset. Instead we should save the regularization from the training run and use that.

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