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a-agmon/seq5.py

Created January 15, 2020 16:15
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seq5.py
#encode all the data
encoded_seqs = encode_sequence_list(seqs_ds.iloc[:,0])
#scale it
scaled_data = MinMaxScaler().fit_transform(encoded_seqs)
#predict it
predicted = autoencoder.predict(scaled_data)
#get the error term
mse = np.mean(np.power(scaled_data - predicted, 2), axis=1)
#now add them to our data frame
seqs_ds['MSE'] = mse
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