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crawles/preview_features.py

Last active March 5, 2019 02:09
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preview_features.py
example = dict(dftrain.head(1))
class_fc = tf.feature_column.indicator_column(tf.feature_column.categorical_column_with_vocabulary_list('class', ('First', 'Second', 'Third')))
print('Feature value: "{}"'.format(example['class'].iloc[0]))
print('One-hot encoded: ', tf.keras.layers.DenseFeatures([class_fc])(example).numpy())
# Feature value: "Third"
# One-hot encoded: [[0. 0. 1.]]
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