tf.estimator.experimental.build_raw_supervised_input_receiver_fn
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Build a supervised_input_receiver_fn for raw features and labels.
View aliases
Compat aliases for migration
See
Migration guide for
more details.
tf.compat.v1.estimator.experimental.build_raw_supervised_input_receiver_fn
tf.estimator.experimental.build_raw_supervised_input_receiver_fn(
features, labels, default_batch_size=None
)
This function wraps tensor placeholders in a supervised_receiver_fn
with the expectation that the features and labels appear precisely as
the model_fn expects them. Features and labels can therefore be dicts of
tensors, or raw tensors.
Args |
|---|
features
|
a dict of string to Tensor or Tensor.
|
labels
|
a dict of string to Tensor or Tensor.
|
default_batch_size
|
the number of query examples expected per batch.
Leave unset for variable batch size (recommended).
|
Returns |
|---|
|
A supervised_input_receiver_fn.
|
Raises |
|---|
ValueError
|
if features and labels have overlapping keys.
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01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."],[],[],null,["# tf.estimator.experimental.build_raw_supervised_input_receiver_fn\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/estimator/tree/master/tensorflow_estimator/python/estimator/export/export.py) |\n\nBuild a supervised_input_receiver_fn for raw features and labels.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.estimator.experimental.build_raw_supervised_input_receiver_fn`](/api_docs/python/tf/estimator/experimental/build_raw_supervised_input_receiver_fn)\n\n\u003cbr /\u003e\n\n tf.estimator.experimental.build_raw_supervised_input_receiver_fn(\n features, labels, default_batch_size=None\n )\n\nThis function wraps tensor placeholders in a supervised_receiver_fn\nwith the expectation that the features and labels appear precisely as\nthe model_fn expects them. Features and labels can therefore be dicts of\ntensors, or raw tensors.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|----------------------|-----------------------------------------------------------------------------------------------------|\n| `features` | a dict of string to `Tensor` or `Tensor`. |\n| `labels` | a dict of string to `Tensor` or `Tensor`. |\n| `default_batch_size` | the number of query examples expected per batch. Leave unset for variable batch size (recommended). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A supervised_input_receiver_fn. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|--------------|-----------------------------------------------|\n| `ValueError` | if features and labels have overlapping keys. |\n\n\u003cbr /\u003e"]]
View source on GitHub