tf.keras.callbacks.ProgbarLogger
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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
View source
set_model(
model
)
set_params
View source
set_params(
params
)
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Last updated 2020-10-01 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]