Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
SamplingDataset
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Creates a dataset that takes a Bernoulli sample of the contents of another dataset.
There is no transformation in the tf.data Python API for creating this dataset.
Instead, it is created as a result of the `filter_with_random_uniform_fusion`
static optimization. Whether this optimization is performed is determined by the
`experimental_optimization.filter_with_random_uniform_fusion` option of
tf.data.Options.
Inherited Methods
From class
java.lang.Object
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boolean
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equals(Object arg0)
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final
Class<?>
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getClass()
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int
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hashCode()
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final
void
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notify()
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final
void
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notifyAll()
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String
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toString()
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final
void
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wait(long arg0, int arg1)
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final
void
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wait(long arg0)
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final
void
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wait()
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Public Methods
public
Output<Object>
asOutput
()
Returns the symbolic handle of a tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is
used to obtain a symbolic handle that represents the computation of the input.
Factory method to create a class wrapping a new SamplingDataset operation.
Parameters
| scope |
current scope |
| rate |
A scalar representing the sample rate. Each element of `input_dataset` is
retained with this probability, independent of all other elements. |
| seed |
A scalar representing seed of random number generator. |
| seed2 |
A scalar representing seed2 of random number generator. |
Returns
- a new instance of SamplingDataset
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Last updated 2022-02-12 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 2022-02-12 UTC."],[],[],null,["# SamplingDataset\n\npublic final class **SamplingDataset** \nCreates a dataset that takes a Bernoulli sample of the contents of another dataset.\n\n\nThere is no transformation in the [`tf.data`](https://www.tensorflow.org/api_docs/python/tf/data) Python API for creating this dataset.\nInstead, it is created as a result of the \\`filter_with_random_uniform_fusion\\`\nstatic optimization. Whether this optimization is performed is determined by the\n\\`experimental_optimization.filter_with_random_uniform_fusion\\` option of\n[`tf.data.Options`](https://www.tensorflow.org/api_docs/python/tf/data/Options).\n\n\u003cbr /\u003e\n\n### Public Methods\n\n|---------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Output](/api_docs/java/org/tensorflow/Output)\\\u003cObject\\\u003e | [asOutput](/api_docs/java/org/tensorflow/op/core/SamplingDataset#asOutput())() Returns the symbolic handle of a tensor. |\n| static [SamplingDataset](/api_docs/java/org/tensorflow/op/core/SamplingDataset) | [create](/api_docs/java/org/tensorflow/op/core/SamplingDataset#create(org.tensorflow.op.Scope,%20org.tensorflow.Operand\u003c?\u003e,%20org.tensorflow.Operand\u003cjava.lang.Float\u003e,%20org.tensorflow.Operand\u003cjava.lang.Long\u003e,%20org.tensorflow.Operand\u003cjava.lang.Long\u003e,%20java.util.List\u003cjava.lang.Class\u003c?\u003e\u003e,%20java.util.List\u003corg.tensorflow.Shape\u003e))([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e inputDataset, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cFloat\\\u003e rate, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cLong\\\u003e seed, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cLong\\\u003e seed2, List\\\u003cClass\\\u003c?\\\u003e\\\u003e outputTypes, List\\\u003c[Shape](/api_docs/java/org/tensorflow/Shape)\\\u003e outputShapes) Factory method to create a class wrapping a new SamplingDataset operation. |\n| [Output](/api_docs/java/org/tensorflow/Output)\\\u003c?\\\u003e | [handle](/api_docs/java/org/tensorflow/op/core/SamplingDataset#handle())() |\n\n### Inherited Methods\n\nFrom class [org.tensorflow.op.PrimitiveOp](/api_docs/java/org/tensorflow/op/PrimitiveOp) \n\n|------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------|\n| final boolean | [equals](/api_docs/java/org/tensorflow/op/PrimitiveOp#equals(java.lang.Object))(Object obj) |\n| final int | [hashCode](/api_docs/java/org/tensorflow/op/PrimitiveOp#hashCode())() |\n| [Operation](/api_docs/java/org/tensorflow/Operation) | [op](/api_docs/java/org/tensorflow/op/PrimitiveOp#op())() Returns the underlying [Operation](/api_docs/java/org/tensorflow/Operation) |\n| final String | [toString](/api_docs/java/org/tensorflow/op/PrimitiveOp#toString())() |\n\nFrom class java.lang.Object \n\n|------------------|---------------------------|\n| boolean | equals(Object arg0) |\n| final Class\\\u003c?\\\u003e | getClass() |\n| int | hashCode() |\n| final void | notify() |\n| final void | notifyAll() |\n| String | toString() |\n| final void | wait(long arg0, int arg1) |\n| final void | wait(long arg0) |\n| final void | wait() |\n\nFrom interface [org.tensorflow.Operand](/api_docs/java/org/tensorflow/Operand) \n\n|-------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| abstract [Output](/api_docs/java/org/tensorflow/Output)\\\u003cObject\\\u003e | [asOutput](/api_docs/java/org/tensorflow/Operand#asOutput())() Returns the symbolic handle of a tensor. |\n\nPublic Methods\n--------------\n\n#### public [Output](/api_docs/java/org/tensorflow/Output)\\\u003cObject\\\u003e\n**asOutput**\n()\n\nReturns the symbolic handle of a tensor.\n\nInputs to TensorFlow operations are outputs of another TensorFlow operation. This method is\nused to obtain a symbolic handle that represents the computation of the input.\n\n\u003cbr /\u003e\n\n#### public static [SamplingDataset](/api_docs/java/org/tensorflow/op/core/SamplingDataset)\n**create**\n([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e inputDataset, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cFloat\\\u003e rate, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cLong\\\u003e seed, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cLong\\\u003e seed2, List\\\u003cClass\\\u003c?\\\u003e\\\u003e outputTypes, List\\\u003c[Shape](/api_docs/java/org/tensorflow/Shape)\\\u003e outputShapes)\n\nFactory method to create a class wrapping a new SamplingDataset operation. \n\n##### Parameters\n\n| scope | current scope |\n| rate | A scalar representing the sample rate. Each element of \\`input_dataset\\` is retained with this probability, independent of all other elements. |\n| seed | A scalar representing seed of random number generator. |\n| seed2 | A scalar representing seed2 of random number generator. |\n|-------|------------------------------------------------------------------------------------------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of SamplingDataset \n\n#### public [Output](/api_docs/java/org/tensorflow/Output)\\\u003c?\\\u003e\n**handle**\n()\n\n\u003cbr /\u003e"]]
