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tf.keras.callbacks.ProgbarLogger
Callback that prints metrics to stdout.
Inherits From: Callback
tf.keras.callbacks.ProgbarLogger(
    count_mode='samples', stateful_metrics=None
)
  | Arguments | |
|---|---|
count_mode | 
      One of "steps" or "samples". Whether the progress bar should count samples seen or steps (batches) seen. | 
     
stateful_metrics | 
      Iterable of string names of metrics that should not be averaged over an epoch. Metrics in this list will be logged as-is. All others will be averaged over time (e.g. loss, etc). If not provided, defaults to the Model's metrics. | 
     
| Raises | |
|---|---|
ValueError | 
      In case of invalid count_mode. | 
     
Methods
set_model
  
  set_model(
    model
)
  set_params
  
  set_params(
    params
)
 © 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
 https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/keras/callbacks/ProgbarLogger