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Adding docs for verbose= modes in Keras.model.fit

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PiperOrigin-RevId: 248436331
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Karmel Allison 2019-05-15 17:14:33 -07:00 committed by TensorFlower Gardener
parent 42ac719705
commit 7b36a2e414
3 changed files with 14 additions and 3 deletions
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5
tensorflow/python/keras/engine/training.py
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@ -481,8 +481,11 @@ class Model(network.Network):
The model is not trained for a number of iterations The model is not trained for a number of iterations
given by `epochs`, but merely until the epoch given by `epochs`, but merely until the epoch
of index `epochs` is reached. of index `epochs` is reached.
verbose: Integer. 0, 1, or 2. Verbosity mode. verbose: 0, 1, or 2. Verbosity mode.
0 = silent, 1 = progress bar, 2 = one line per epoch. 0 = silent, 1 = progress bar, 2 = one line per epoch.
Note that the progress bar is not particularly useful when
logged to a file, so verbose=2 is recommended when not running
interactively (eg, in a production environment).
callbacks: List of `keras.callbacks.Callback` instances. callbacks: List of `keras.callbacks.Callback` instances.
List of callbacks to apply during training. List of callbacks to apply during training.
See `tf.keras.callbacks`. See `tf.keras.callbacks`.

6
tensorflow/python/keras/engine/training_arrays.py
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@ -72,7 +72,11 @@ def model_iteration(model,
sample_weights: Optional list of sample weight arrays. sample_weights: Optional list of sample weight arrays.
batch_size: Integer batch size or None if unknown. batch_size: Integer batch size or None if unknown.
epochs: Number of times to iterate over the data epochs: Number of times to iterate over the data
verbose: Verbosity mode, 0, 1 or 2 verbose: 0, 1, or 2. Verbosity mode.
0 = silent, 1 = progress bar, 2 = one line per epoch.
Note that the progress bar is not particularly useful when
logged to a file, so verbose=2 is recommended when not running
interactively (eg, in a production environment).
callbacks: List of callbacks to be called during training callbacks: List of callbacks to be called during training
val_inputs: Either a list or dictionary of arrays, or a dataset instance. val_inputs: Either a list or dictionary of arrays, or a dataset instance.
val_targets: List/dictionary of target arrays. val_targets: List/dictionary of target arrays.

6
tensorflow/python/keras/engine/training_generator.py
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@ -68,7 +68,11 @@ def model_iteration(model,
declaring one epoch finished and starting the next epoch. Ignored with declaring one epoch finished and starting the next epoch. Ignored with
the default value of `None`. the default value of `None`.
epochs: Number of times to iterate over the data. epochs: Number of times to iterate over the data.
verbose: Verbosity mode, 0, 1 or 2. verbose: 0, 1, or 2. Verbosity mode.
0 = silent, 1 = progress bar, 2 = one line per epoch.
Note that the progress bar is not particularly useful when
logged to a file, so verbose=2 is recommended when not running
interactively (eg, in a production environment).
callbacks: List of callbacks to be called during training. callbacks: List of callbacks to be called during training.
validation_data: Either a tuple of NumPy/Tensor inputs (i.e. `(x,)` or validation_data: Either a tuple of NumPy/Tensor inputs (i.e. `(x,)` or
`(x, y)` or `(x, y, sample_weights)`) or a generator or `(x, y)` or `(x, y, sample_weights)`) or a generator or