com.amazonaws.services.sagemakerruntime.model

Class InvokeEndpointRequest

java.lang.Object

com.amazonaws.AmazonWebServiceRequest

com.amazonaws.services.sagemakerruntime.model.InvokeEndpointRequest

All Implemented Interfaces:

HandlerContextAware, ReadLimitInfo, Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class InvokeEndpointRequest
extends AmazonWebServiceRequest
implements Serializable, Cloneable

See Also:

AWS API Documentation, Serialized Form

Field Summary

Fields inherited from class com.amazonaws.AmazonWebServiceRequest

NOOP

Constructor Summary

Constructors

Constructor and Description
InvokeEndpointRequest()

Method Summary

Modifier and Type	Method and Description
InvokeEndpointRequest	clone() Creates a shallow clone of this object for all fields except the handler context.
boolean	equals(Object obj)
String	getAccept() The desired MIME type of the inference in the response.
ByteBuffer	getBody() Provides input data, in the format specified in the ContentType request header.
String	getContentType() The MIME type of the input data in the request body.
String	getCustomAttributes() Provides additional information about a request for an inference submitted to a model hosted at an Amazon SageMaker endpoint.
String	getEndpointName() The name of the endpoint that you specified when you created the endpoint using the CreateEndpoint API.
String	getTargetModel() Specifies the model to be requested for an inference when invoking a multi-model endpoint.
int	hashCode()
void	setAccept(String accept) The desired MIME type of the inference in the response.
void	setBody(ByteBuffer body) Provides input data, in the format specified in the ContentType request header.
void	setContentType(String contentType) The MIME type of the input data in the request body.
void	setCustomAttributes(String customAttributes) Provides additional information about a request for an inference submitted to a model hosted at an Amazon SageMaker endpoint.
void	setEndpointName(String endpointName) The name of the endpoint that you specified when you created the endpoint using the CreateEndpoint API.
void	setTargetModel(String targetModel) Specifies the model to be requested for an inference when invoking a multi-model endpoint.
String	toString() Returns a string representation of this object.
InvokeEndpointRequest	withAccept(String accept) The desired MIME type of the inference in the response.
InvokeEndpointRequest	withBody(ByteBuffer body) Provides input data, in the format specified in the ContentType request header.
InvokeEndpointRequest	withContentType(String contentType) The MIME type of the input data in the request body.
InvokeEndpointRequest	withCustomAttributes(String customAttributes) Provides additional information about a request for an inference submitted to a model hosted at an Amazon SageMaker endpoint.
InvokeEndpointRequest	withEndpointName(String endpointName) The name of the endpoint that you specified when you created the endpoint using the CreateEndpoint API.
InvokeEndpointRequest	withTargetModel(String targetModel) Specifies the model to be requested for an inference when invoking a multi-model endpoint.

Methods inherited from class com.amazonaws.AmazonWebServiceRequest

addHandlerContext, getCloneRoot, getCloneSource, getCustomQueryParameters, getCustomRequestHeaders, getGeneralProgressListener, getHandlerContext, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestCredentialsProvider, getRequestMetricCollector, getSdkClientExecutionTimeout, getSdkRequestTimeout, putCustomQueryParameter, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestCredentialsProvider, setRequestMetricCollector, setSdkClientExecutionTimeout, setSdkRequestTimeout, withGeneralProgressListener, withRequestCredentialsProvider, withRequestMetricCollector, withSdkClientExecutionTimeout, withSdkRequestTimeout

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

InvokeEndpointRequest

public InvokeEndpointRequest()

Method Detail

setEndpointName

public void setEndpointName(String endpointName)

The name of the endpoint that you specified when you created the endpoint using the CreateEndpoint API.

Parameters:

endpointName - The name of the endpoint that you specified when you created the endpoint using the CreateEndpoint API.

getEndpointName

public String getEndpointName()

The name of the endpoint that you specified when you created the endpoint using the CreateEndpoint API.

Returns:

The name of the endpoint that you specified when you created the endpoint using the CreateEndpoint API.

withEndpointName

public InvokeEndpointRequest withEndpointName(String endpointName)

The name of the endpoint that you specified when you created the endpoint using the CreateEndpoint API.

Parameters:

endpointName - The name of the endpoint that you specified when you created the endpoint using the CreateEndpoint API.

Returns:

Returns a reference to this object so that method calls can be chained together.

setBody

public void setBody(ByteBuffer body)

Provides input data, in the format specified in the ContentType request header. Amazon SageMaker passes all of the data in the body to the model.

For information about the format of the request body, see Common Data Formats—Inference.

The AWS SDK for Java performs a Base64 encoding on this field before sending this request to the AWS service. Users of the SDK should not perform Base64 encoding on this field.

Warning: ByteBuffers returned by the SDK are mutable. Changes to the content or position of the byte buffer will be seen by all objects that have a reference to this object. It is recommended to call ByteBuffer.duplicate() or ByteBuffer.asReadOnlyBuffer() before using or reading from the buffer. This behavior will be changed in a future major version of the SDK.

Parameters:

body - Provides input data, in the format specified in the ContentType request header. Amazon SageMaker passes all of the data in the body to the model.

For information about the format of the request body, see Common Data Formats—Inference.

getBody

public ByteBuffer getBody()

Provides input data, in the format specified in the ContentType request header. Amazon SageMaker passes all of the data in the body to the model.

For information about the format of the request body, see Common Data Formats—Inference.

ByteBuffers are stateful. Calling their get methods changes their position. We recommend using ByteBuffer.asReadOnlyBuffer() to create a read-only view of the buffer with an independent position, and calling get methods on this rather than directly on the returned ByteBuffer. Doing so will ensure that anyone else using the ByteBuffer will not be affected by changes to the position.

Returns:

Provides input data, in the format specified in the ContentType request header. Amazon SageMaker passes all of the data in the body to the model.

For information about the format of the request body, see Common Data Formats—Inference.

withBody

public InvokeEndpointRequest withBody(ByteBuffer body)

Provides input data, in the format specified in the ContentType request header. Amazon SageMaker passes all of the data in the body to the model.

For information about the format of the request body, see Common Data Formats—Inference.

The AWS SDK for Java performs a Base64 encoding on this field before sending this request to the AWS service. Users of the SDK should not perform Base64 encoding on this field.

Warning: ByteBuffers returned by the SDK are mutable. Changes to the content or position of the byte buffer will be seen by all objects that have a reference to this object. It is recommended to call ByteBuffer.duplicate() or ByteBuffer.asReadOnlyBuffer() before using or reading from the buffer. This behavior will be changed in a future major version of the SDK.

Parameters:

body - Provides input data, in the format specified in the ContentType request header. Amazon SageMaker passes all of the data in the body to the model.

For information about the format of the request body, see Common Data Formats—Inference.

Returns:

Returns a reference to this object so that method calls can be chained together.

setContentType

public void setContentType(String contentType)

The MIME type of the input data in the request body.

Parameters:

contentType - The MIME type of the input data in the request body.

getContentType

public String getContentType()

The MIME type of the input data in the request body.

Returns:

The MIME type of the input data in the request body.

withContentType

public InvokeEndpointRequest withContentType(String contentType)

The MIME type of the input data in the request body.

Parameters:

contentType - The MIME type of the input data in the request body.

Returns:

Returns a reference to this object so that method calls can be chained together.

setAccept

public void setAccept(String accept)

The desired MIME type of the inference in the response.

Parameters:

accept - The desired MIME type of the inference in the response.

getAccept

public String getAccept()

The desired MIME type of the inference in the response.

Returns:

The desired MIME type of the inference in the response.

withAccept

public InvokeEndpointRequest withAccept(String accept)

The desired MIME type of the inference in the response.

Parameters:

accept - The desired MIME type of the inference in the response.

Returns:

Returns a reference to this object so that method calls can be chained together.

setCustomAttributes

public void setCustomAttributes(String customAttributes)

Provides additional information about a request for an inference submitted to a model hosted at an Amazon SageMaker endpoint. The information is an opaque value that is forwarded verbatim. You could use this value, for example, to provide an ID that you can use to track a request or to provide other metadata that a service endpoint was programmed to process. The value must consist of no more than 1024 visible US-ASCII characters as specified in Section 3.3.6. Field Value Components of the Hypertext Transfer Protocol (HTTP/1.1). This feature is currently supported in the AWS SDKs but not in the Amazon SageMaker Python SDK.

Parameters:

customAttributes - Provides additional information about a request for an inference submitted to a model hosted at an Amazon SageMaker endpoint. The information is an opaque value that is forwarded verbatim. You could use this value, for example, to provide an ID that you can use to track a request or to provide other metadata that a service endpoint was programmed to process. The value must consist of no more than 1024 visible US-ASCII characters as specified in Section 3.3.6. Field Value Components of the Hypertext Transfer Protocol (HTTP/1.1). This feature is currently supported in the AWS SDKs but not in the Amazon SageMaker Python SDK.

getCustomAttributes

public String getCustomAttributes()

Provides additional information about a request for an inference submitted to a model hosted at an Amazon SageMaker endpoint. The information is an opaque value that is forwarded verbatim. You could use this value, for example, to provide an ID that you can use to track a request or to provide other metadata that a service endpoint was programmed to process. The value must consist of no more than 1024 visible US-ASCII characters as specified in Section 3.3.6. Field Value Components of the Hypertext Transfer Protocol (HTTP/1.1). This feature is currently supported in the AWS SDKs but not in the Amazon SageMaker Python SDK.

Returns:

Provides additional information about a request for an inference submitted to a model hosted at an Amazon SageMaker endpoint. The information is an opaque value that is forwarded verbatim. You could use this value, for example, to provide an ID that you can use to track a request or to provide other metadata that a service endpoint was programmed to process. The value must consist of no more than 1024 visible US-ASCII characters as specified in Section 3.3.6. Field Value Components of the Hypertext Transfer Protocol (HTTP/1.1). This feature is currently supported in the AWS SDKs but not in the Amazon SageMaker Python SDK.

withCustomAttributes

public InvokeEndpointRequest withCustomAttributes(String customAttributes)

Provides additional information about a request for an inference submitted to a model hosted at an Amazon SageMaker endpoint. The information is an opaque value that is forwarded verbatim. You could use this value, for example, to provide an ID that you can use to track a request or to provide other metadata that a service endpoint was programmed to process. The value must consist of no more than 1024 visible US-ASCII characters as specified in Section 3.3.6. Field Value Components of the Hypertext Transfer Protocol (HTTP/1.1). This feature is currently supported in the AWS SDKs but not in the Amazon SageMaker Python SDK.

Parameters:

customAttributes - Provides additional information about a request for an inference submitted to a model hosted at an Amazon SageMaker endpoint. The information is an opaque value that is forwarded verbatim. You could use this value, for example, to provide an ID that you can use to track a request or to provide other metadata that a service endpoint was programmed to process. The value must consist of no more than 1024 visible US-ASCII characters as specified in Section 3.3.6. Field Value Components of the Hypertext Transfer Protocol (HTTP/1.1). This feature is currently supported in the AWS SDKs but not in the Amazon SageMaker Python SDK.

Returns:

Returns a reference to this object so that method calls can be chained together.

setTargetModel

public void setTargetModel(String targetModel)

Specifies the model to be requested for an inference when invoking a multi-model endpoint.

Parameters:

targetModel - Specifies the model to be requested for an inference when invoking a multi-model endpoint.

getTargetModel

public String getTargetModel()

Specifies the model to be requested for an inference when invoking a multi-model endpoint.

Returns:

Specifies the model to be requested for an inference when invoking a multi-model endpoint.

withTargetModel

public InvokeEndpointRequest withTargetModel(String targetModel)

Specifies the model to be requested for an inference when invoking a multi-model endpoint.

Parameters:

targetModel - Specifies the model to be requested for an inference when invoking a multi-model endpoint.

Returns:

Returns a reference to this object so that method calls can be chained together.

toString

public String toString()

Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.

Overrides:

toString in class Object

Returns:

A string representation of this object.

See Also:

Object.toString()

equals

public boolean equals(Object obj)

Overrides:

equals in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object

clone

public InvokeEndpointRequest clone()

Description copied from class: AmazonWebServiceRequest

Creates a shallow clone of this object for all fields except the handler context. Explicitly does not clone the deep structure of the other fields in the message.

Overrides:

clone in class AmazonWebServiceRequest

See Also:

Object.clone()