Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
ApproxTopK.Options
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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
ApproxTopK.Options
aggregateToTopk
(Boolean aggregateToTopk)
Parameters
| aggregateToTopk |
When true, aggregates approximate results to top-k. When false, returns the
approximate results. The number of the approximate results is implementation
defined and is greater equals to the specified `k`.
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Parameters
| isMaxK |
When true, computes max-k; otherwise computes min-k.
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public
ApproxTopK.Options
recallTarget
(Float recallTarget)
Parameters
| recallTarget |
Recall target for the approximation. Range in (0,1]
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public
ApproxTopK.Options
reductionDimension
(Long reductionDimension)
Parameters
| reductionDimension |
Integer dimension along which to search. Default: -1.
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Parameters
| reductionInputSizeOverride |
When set to a positive value, it overrides the size determined by
`input[reduction_dim]` for evaluating the recall. This option is useful when
the given `input` is only a subset of the overall computation in SPMD or
distributed pipelines, where the true input size cannot be deferred by the
`input` shape.
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Last updated 2022-09-07 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 2022-09-07 UTC."],[],[],null,["# ApproxTopK.Options\n\npublic static class **ApproxTopK.Options** \nOptional attributes for [ApproxTopK](/api_docs/java/org/tensorflow/op/core/ApproxTopK) \n\n### Public Methods\n\n|--------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [ApproxTopK.Options](/api_docs/java/org/tensorflow/op/core/ApproxTopK.Options) | [aggregateToTopk](/api_docs/java/org/tensorflow/op/core/ApproxTopK.Options#aggregateToTopk(java.lang.Boolean))(Boolean aggregateToTopk) |\n| [ApproxTopK.Options](/api_docs/java/org/tensorflow/op/core/ApproxTopK.Options) | [isMaxK](/api_docs/java/org/tensorflow/op/core/ApproxTopK.Options#isMaxK(java.lang.Boolean))(Boolean isMaxK) |\n| [ApproxTopK.Options](/api_docs/java/org/tensorflow/op/core/ApproxTopK.Options) | [recallTarget](/api_docs/java/org/tensorflow/op/core/ApproxTopK.Options#recallTarget(java.lang.Float))(Float recallTarget) |\n| [ApproxTopK.Options](/api_docs/java/org/tensorflow/op/core/ApproxTopK.Options) | [reductionDimension](/api_docs/java/org/tensorflow/op/core/ApproxTopK.Options#reductionDimension(java.lang.Long))(Long reductionDimension) |\n| [ApproxTopK.Options](/api_docs/java/org/tensorflow/op/core/ApproxTopK.Options) | [reductionInputSizeOverride](/api_docs/java/org/tensorflow/op/core/ApproxTopK.Options#reductionInputSizeOverride(java.lang.Long))(Long reductionInputSizeOverride) |\n\n### Inherited Methods\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\nPublic Methods\n--------------\n\n#### public [ApproxTopK.Options](/api_docs/java/org/tensorflow/op/core/ApproxTopK.Options)\n**aggregateToTopk**\n(Boolean aggregateToTopk)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| aggregateToTopk | When true, aggregates approximate results to top-k. When false, returns the approximate results. The number of the approximate results is implementation defined and is greater equals to the specified \\`k\\`. |\n|-----------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n\n#### public [ApproxTopK.Options](/api_docs/java/org/tensorflow/op/core/ApproxTopK.Options)\n**isMaxK**\n(Boolean isMaxK)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| isMaxK | When true, computes max-k; otherwise computes min-k. |\n|--------|------------------------------------------------------|\n\n#### public [ApproxTopK.Options](/api_docs/java/org/tensorflow/op/core/ApproxTopK.Options)\n**recallTarget**\n(Float recallTarget)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| recallTarget | Recall target for the approximation. Range in (0,1\\] |\n|--------------|------------------------------------------------------|\n\n#### public [ApproxTopK.Options](/api_docs/java/org/tensorflow/op/core/ApproxTopK.Options)\n**reductionDimension**\n(Long reductionDimension)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| reductionDimension | Integer dimension along which to search. Default: -1. |\n|--------------------|-------------------------------------------------------|\n\n#### public [ApproxTopK.Options](/api_docs/java/org/tensorflow/op/core/ApproxTopK.Options)\n**reductionInputSizeOverride**\n(Long reductionInputSizeOverride)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| reductionInputSizeOverride | When set to a positive value, it overrides the size determined by \\`input\\[reduction_dim\\]\\` for evaluating the recall. This option is useful when the given \\`input\\` is only a subset of the overall computation in SPMD or distributed pipelines, where the true input size cannot be deferred by the \\`input\\` shape. |\n|----------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|"]]
