vanitasvitae/pywatts
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Fixed shuffling

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This commit is contained in:
reedts 2018-08-14 15:21:39 +02:00
parent d4da4ca121
commit e019f1bee7
1 changed files with 2 additions and 4 deletions
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6
pywatts/neural.py
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@ -22,9 +22,7 @@ def pywatts_input_fn(X, y=None, num_epochs=None, shuffle=True, batch_size=1):
dataset = tf.data.Dataset.from_tensor_slices((dict(features), labels)) dataset = tf.data.Dataset.from_tensor_slices((dict(features), labels))
if shuffle: if shuffle:
dataset.shuffle(len(features['0']*len(features)*4)) return dataset.shuffle(len(features['0']*batch_size*4)).repeat().batch(batch_size)
return dataset.repeat().batch(batch_size)
else: else:
return dataset.batch(batch_size) return dataset.batch(batch_size)
@ -35,7 +33,7 @@ class Net:
def __init__(self, feature_cols=__feature_cols): def __init__(self, feature_cols=__feature_cols):
self.__regressor = tf.estimator.DNNRegressor(feature_columns=feature_cols, self.__regressor = tf.estimator.DNNRegressor(feature_columns=feature_cols,
hidden_units=[75, 75], hidden_units=[64, 128, 64],
model_dir='tf_pywatts_model') model_dir='tf_pywatts_model')
def train(self, training_data, training_results, batch_size, steps): def train(self, training_data, training_results, batch_size, steps):