Cloneable, ReadLimitInfo, ToCopyableBuilder<UpdateMLModelRequest.Builder,UpdateMLModelRequest>@Generated("software.amazon.awssdk:codegen") public class UpdateMLModelRequest extends AmazonWebServiceRequest implements ToCopyableBuilder<UpdateMLModelRequest.Builder,UpdateMLModelRequest>
| Modifier and Type | Class | Description |
|---|---|---|
static interface |
UpdateMLModelRequest.Builder |
NOOP| Modifier and Type | Method | Description |
|---|---|---|
static UpdateMLModelRequest.Builder |
builder() |
|
boolean |
equals(Object obj) |
|
int |
hashCode() |
|
String |
mlModelId() |
The ID assigned to the
MLModel during creation. |
String |
mlModelName() |
A user-supplied name or description of the
MLModel. |
Float |
scoreThreshold() |
The
ScoreThreshold used in binary classification MLModel that marks the boundary
between a positive prediction and a negative prediction. |
static Class<? extends UpdateMLModelRequest.Builder> |
serializableBuilderClass() |
|
UpdateMLModelRequest.Builder |
toBuilder() |
Take this object and create a builder that contains all of the current property values of this object.
|
String |
toString() |
clone, getCloneRoot, getCloneSource, getCustomQueryParameters, getCustomRequestHeaders, getGeneralProgressListener, getReadLimit, getRequestClientOptions, getRequestCredentialsProvider, getRequestMetricCollector, getSdkClientExecutionTimeout, putCustomQueryParameter, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestCredentialsProvider, setRequestMetricCollector, setSdkClientExecutionTimeout, withGeneralProgressListener, withRequestMetricCollector, withSdkClientExecutionTimeoutpublic String mlModelId()
The ID assigned to the MLModel during creation.
MLModel during creation.public String mlModelName()
A user-supplied name or description of the MLModel.
MLModel.public Float scoreThreshold()
The ScoreThreshold used in binary classification MLModel 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 the
MLModel, such as true. Output values less than the ScoreThreshold receive
a negative response from the MLModel, such as false.
ScoreThreshold used in binary classification MLModel 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 the
MLModel, such as true. Output values less than the ScoreThreshold
receive a negative response from the MLModel, such as false.
public UpdateMLModelRequest.Builder toBuilder()
ToCopyableBuildertoBuilder in interface ToCopyableBuilder<UpdateMLModelRequest.Builder,UpdateMLModelRequest>public static UpdateMLModelRequest.Builder builder()
public static Class<? extends UpdateMLModelRequest.Builder> serializableBuilderClass()
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