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VAE runner fixed, data needs different scaler #24

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Merged
martinwicke merged 1 commit into from
Mar 19, 2016
Merged

VAE runner fixed, data needs different scaler #24

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6 changes: 3 additions & 3 deletions autoencoder/VariationalAutoencoderRunner.py
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Original file line number Diff line number Diff line change
Expand Up @@ -9,8 +9,8 @@
mnist = input_data.read_data_sets('MNIST_data', one_hot = True)


def standard_scale(X_train, X_test):
preprocessor = prep.StandardScaler().fit(X_train)
def min_max_scale(X_train, X_test):
preprocessor = prep.MinMaxScaler().fit(X_train)
X_train = preprocessor.transform(X_train)
X_test = preprocessor.transform(X_test)
return X_train, X_test
Expand All @@ -21,7 +21,7 @@ def get_random_block_from_data(data, batch_size):
return data[start_index:(start_index + batch_size)]


X_train, X_test = standard_scale(mnist.train.images, mnist.test.images)
X_train, X_test = min_max_scale(mnist.train.images, mnist.test.images)

n_samples = int(mnist.train.num_examples)
training_epochs = 20
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