tf.contrib.predictor.from_estimator
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Constructs a Predictor from a tf.python.estimator.Estimator.
tf.contrib.predictor.from_estimator(
estimator, serving_input_receiver_fn, output_key=None, graph=None, config=None
)
Args |
|---|
estimator
|
an instance of learn.python.estimator.Estimator.
|
serving_input_receiver_fn
|
a function that takes no arguments and returns
an instance of ServingInputReceiver compatible with estimator.
|
output_key
|
Optional string specifying the export output to use. If
None, then DEFAULT_SERVING_SIGNATURE_DEF_KEY is used.
|
graph
|
Optional. The Tensorflow graph in which prediction should be
done.
|
config
|
ConfigProto proto used to configure the session.
|
Returns |
|---|
An initialized Predictor.
|
Raises |
|---|
TypeError
|
if estimator is a contrib Estimator instead of a core
Estimator.
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.contrib.predictor.from_estimator\n\n\u003cbr /\u003e\n\n|---------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/contrib/predictor/predictor_factories.py#L71-L105) |\n\nConstructs a `Predictor` from a `tf.python.estimator.Estimator`. \n\n tf.contrib.predictor.from_estimator(\n estimator, serving_input_receiver_fn, output_key=None, graph=None, config=None\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-----------------------------|-------------------------------------------------------------------------------------------------------------------|\n| `estimator` | an instance of `learn.python.estimator.Estimator`. |\n| `serving_input_receiver_fn` | a function that takes no arguments and returns an instance of `ServingInputReceiver` compatible with `estimator`. |\n| `output_key` | Optional string specifying the export output to use. If `None`, then `DEFAULT_SERVING_SIGNATURE_DEF_KEY` is used. |\n| `graph` | Optional. The Tensorflow `graph` in which prediction should be done. |\n| `config` | `ConfigProto` proto used to configure the session. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| An initialized `Predictor`. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|-------------|------------------------------------------------------------------------|\n| `TypeError` | if `estimator` is a contrib `Estimator` instead of a core `Estimator`. |\n\n\u003cbr /\u003e"]]
View source on GitHub