Class UpdateMLModelRequest
- All Implemented Interfaces:
ReadLimitInfo
,Serializable
,Cloneable
- See Also:
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Field Summary
Fields inherited from class com.amazonaws.AmazonWebServiceRequest
NOOP
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionclone()
Creates a shallow clone of this request.boolean
The ID assigned to theMLModel
during creation.A user-supplied name or description of theMLModel
.TheScoreThreshold
used in binary classificationMLModel
that marks the boundary between a positive prediction and a negative prediction.int
hashCode()
void
setMLModelId
(String mLModelId) The ID assigned to theMLModel
during creation.void
setMLModelName
(String mLModelName) A user-supplied name or description of theMLModel
.void
setScoreThreshold
(Float scoreThreshold) TheScoreThreshold
used in binary classificationMLModel
that marks the boundary between a positive prediction and a negative prediction.toString()
Returns a string representation of this object; useful for testing and debugging.withMLModelId
(String mLModelId) The ID assigned to theMLModel
during creation.withMLModelName
(String mLModelName) A user-supplied name or description of theMLModel
.withScoreThreshold
(Float scoreThreshold) TheScoreThreshold
used in binary classificationMLModel
that marks the boundary between a positive prediction and a negative prediction.Methods inherited from class com.amazonaws.AmazonWebServiceRequest
copyBaseTo, getCloneRoot, getCloneSource, getCustomQueryParameters, getCustomRequestHeaders, getGeneralProgressListener, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestCredentialsProvider, getRequestMetricCollector, getSdkClientExecutionTimeout, getSdkRequestTimeout, putCustomQueryParameter, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestCredentialsProvider, setRequestMetricCollector, setSdkClientExecutionTimeout, setSdkRequestTimeout, withGeneralProgressListener, withRequestMetricCollector, withSdkClientExecutionTimeout, withSdkRequestTimeout
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Constructor Details
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UpdateMLModelRequest
public UpdateMLModelRequest()
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Method Details
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setMLModelId
The ID assigned to the
MLModel
during creation.- Parameters:
mLModelId
- The ID assigned to theMLModel
during creation.
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getMLModelId
The ID assigned to the
MLModel
during creation.- Returns:
- The ID assigned to the
MLModel
during creation.
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withMLModelId
The ID assigned to the
MLModel
during creation.- Parameters:
mLModelId
- The ID assigned to theMLModel
during creation.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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setMLModelName
A user-supplied name or description of the
MLModel
.- Parameters:
mLModelName
- A user-supplied name or description of theMLModel
.
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getMLModelName
A user-supplied name or description of the
MLModel
.- Returns:
- A user-supplied name or description of the
MLModel
.
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withMLModelName
A user-supplied name or description of the
MLModel
.- Parameters:
mLModelName
- A user-supplied name or description of theMLModel
.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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setScoreThreshold
The
ScoreThreshold
used in binary classificationMLModel
that marks the boundary between a positive prediction and a negative prediction.Output values greater than or equal to the
ScoreThreshold
receive a positive result from theMLModel
, such astrue
. Output values less than theScoreThreshold
receive a negative response from theMLModel
, such asfalse
.- Parameters:
scoreThreshold
- TheScoreThreshold
used in binary classificationMLModel
that marks the boundary between a positive prediction and a negative prediction.Output values greater than or equal to the
ScoreThreshold
receive a positive result from theMLModel
, such astrue
. Output values less than theScoreThreshold
receive a negative response from theMLModel
, such asfalse
.
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getScoreThreshold
The
ScoreThreshold
used in binary classificationMLModel
that marks the boundary between a positive prediction and a negative prediction.Output values greater than or equal to the
ScoreThreshold
receive a positive result from theMLModel
, such astrue
. Output values less than theScoreThreshold
receive a negative response from theMLModel
, such asfalse
.- Returns:
- The
ScoreThreshold
used in binary classificationMLModel
that marks the boundary between a positive prediction and a negative prediction.Output values greater than or equal to the
ScoreThreshold
receive a positive result from theMLModel
, such astrue
. Output values less than theScoreThreshold
receive a negative response from theMLModel
, such asfalse
.
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withScoreThreshold
The
ScoreThreshold
used in binary classificationMLModel
that marks the boundary between a positive prediction and a negative prediction.Output values greater than or equal to the
ScoreThreshold
receive a positive result from theMLModel
, such astrue
. Output values less than theScoreThreshold
receive a negative response from theMLModel
, such asfalse
.- Parameters:
scoreThreshold
- TheScoreThreshold
used in binary classificationMLModel
that marks the boundary between a positive prediction and a negative prediction.Output values greater than or equal to the
ScoreThreshold
receive a positive result from theMLModel
, such astrue
. Output values less than theScoreThreshold
receive a negative response from theMLModel
, such asfalse
.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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toString
Returns a string representation of this object; useful for testing and debugging. -
equals
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hashCode
public int hashCode() -
clone
Description copied from class:AmazonWebServiceRequest
Creates a shallow clone of this request. Explicitly does not clone the deep structure of the request object.- Overrides:
clone
in classAmazonWebServiceRequest
- See Also:
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