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Change batch_size descriptions to proper ones #13422

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Merged
fchollet merged 2 commits into from
Oct 11, 2019
Merged

Change batch_size descriptions to proper ones #13422

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5127b04
Change `batch_size` descriptions to proper ones
EthanJYK Oct 11, 2019
a10f024
Correct `callbacks` description docstrings
EthanJYK Oct 11, 2019
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8 changes: 4 additions & 4 deletions keras/engine/training.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1274,7 +1274,7 @@ def evaluate(self,
`y` should not be specified (since targets will be obtained
from `x`).
batch_size: Integer or `None`.
Number of samples per gradient update.
Number of samples per evaluation step.
If unspecified, `batch_size` will default to 32.
Do not specify the `batch_size` if your data is in the
form of symbolic tensors, generators, or
Expand Down Expand Up @@ -1383,7 +1383,7 @@ def predict(self, x,
- None (default) if feeding from framework-native
tensors (e.g. TensorFlow data tensors).
batch_size: Integer or `None`.
Number of samples per gradient update.
Number of samples to be predicted at once.
If unspecified, `batch_size` will default to 32.
Do not specify the `batch_size` if your data is in the
form of symbolic tensors, generators, or
Expand Down Expand Up @@ -1755,7 +1755,7 @@ def evaluate_generator(self, generator,
Optional for `Sequence`: if unspecified, will use
the `len(generator)` as a number of steps.
callbacks: List of `keras.callbacks.Callback` instances.
List of callbacks to apply during training.
List of callbacks to apply during evaluation.
See [callbacks](/callbacks).
max_queue_size: maximum size for the generator queue
workers: Integer. Maximum number of processes to spin up
Expand Down Expand Up @@ -1813,7 +1813,7 @@ def predict_generator(self, generator,
Optional for `Sequence`: if unspecified, will use
the `len(generator)` as a number of steps.
callbacks: List of `keras.callbacks.Callback` instances.
List of callbacks to apply during training.
List of callbacks to apply during prediction.
See [callbacks](/callbacks).
max_queue_size: Maximum size for the generator queue.
workers: Integer. Maximum number of processes to spin up
Expand Down