avoid sklern.scale() error for converting float32 to float64

classifier/preprocessing/data_preprocessing.py

@@ -68,7 +68,7 @@ def standardization(dataset):
 
 	print(bcolors.YELLOW + 'Running standardization' + bcolors.ENDC)
 	# Standardization
-	scaledDataset = preprocessing.scale(dataset)
+	scaledDataset = preprocessing.scale(np.float64(dataset))
 
 	return scaledDataset
 
@@ -95,4 +95,4 @@ if __name__ == "__main__":
 	print(bcolors.GREEN + 'Saving scaled results to file' + bcolors.ENDC)
 	datasetFrame = pd.DataFrame(scaledDataset, columns = featureKeys)
 	datasetFrame = datasetFrame.assign(target=target)
-	datasetFrame.to_pickle("./dataset.pkl")
+	datasetFrame.to_pickle("./dataset.pkl")