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@philippslang
Last active August 22, 2017 19:27
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Scaler = preproc.MinMaxScaler
normalizer_features = Scaler(copy=False)
normalizer_features.fit_transform(features.reshape(num_sequences*num_timesteps, num_features))
normalizer_targets = Scaler(feature_range=(0, 1), copy=False) # sigmoid
normalizer_targets.fit_transform(targets.reshape(num_sequences*num_timesteps, num_targets))
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