com.amazonaws.services.frauddetector.model

Class ModelInputConfiguration

java.lang.Object

com.amazonaws.services.frauddetector.model.ModelInputConfiguration

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable

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

The model input configuration.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors

Constructor and Description
ModelInputConfiguration()

Method Summary

Modifier and Type	Method and Description
ModelInputConfiguration	clone()
boolean	equals(Object obj)
String	getCsvInputTemplate() Template for constructing the CSV input-data sent to SageMaker.
String	getFormat() The format of the model input configuration.
Boolean	getIsOpaque() For an opaque-model, the input to the model will be a ByteBuffer blob provided in the getPrediction request, and will be passed to SageMaker as-is.
String	getJsonInputTemplate() Template for constructing the JSON input-data sent to SageMaker.
int	hashCode()
Boolean	isOpaque() For an opaque-model, the input to the model will be a ByteBuffer blob provided in the getPrediction request, and will be passed to SageMaker as-is.
void	marshall(ProtocolMarshaller protocolMarshaller) Marshalls this structured data using the given ProtocolMarshaller.
void	setCsvInputTemplate(String csvInputTemplate) Template for constructing the CSV input-data sent to SageMaker.
void	setFormat(String format) The format of the model input configuration.
void	setIsOpaque(Boolean isOpaque) For an opaque-model, the input to the model will be a ByteBuffer blob provided in the getPrediction request, and will be passed to SageMaker as-is.
void	setJsonInputTemplate(String jsonInputTemplate) Template for constructing the JSON input-data sent to SageMaker.
String	toString() Returns a string representation of this object.
ModelInputConfiguration	withCsvInputTemplate(String csvInputTemplate) Template for constructing the CSV input-data sent to SageMaker.
ModelInputConfiguration	withFormat(ModelInputDataFormat format) The format of the model input configuration.
ModelInputConfiguration	withFormat(String format) The format of the model input configuration.
ModelInputConfiguration	withIsOpaque(Boolean isOpaque) For an opaque-model, the input to the model will be a ByteBuffer blob provided in the getPrediction request, and will be passed to SageMaker as-is.
ModelInputConfiguration	withJsonInputTemplate(String jsonInputTemplate) Template for constructing the JSON input-data sent to SageMaker.

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

ModelInputConfiguration

public ModelInputConfiguration()

Method Detail

setFormat

public void setFormat(String format)

The format of the model input configuration. The format differs depending on if it is passed through to SageMaker or constructed by Amazon Fraud Detector.

Parameters:

format - The format of the model input configuration. The format differs depending on if it is passed through to SageMaker or constructed by Amazon Fraud Detector.

See Also:

ModelInputDataFormat

getFormat

public String getFormat()

The format of the model input configuration. The format differs depending on if it is passed through to SageMaker or constructed by Amazon Fraud Detector.

Returns:

The format of the model input configuration. The format differs depending on if it is passed through to SageMaker or constructed by Amazon Fraud Detector.

See Also:

ModelInputDataFormat

withFormat

public ModelInputConfiguration withFormat(String format)

The format of the model input configuration. The format differs depending on if it is passed through to SageMaker or constructed by Amazon Fraud Detector.

Parameters:

format - The format of the model input configuration. The format differs depending on if it is passed through to SageMaker or constructed by Amazon Fraud Detector.

Returns:

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

See Also:

ModelInputDataFormat

withFormat

public ModelInputConfiguration withFormat(ModelInputDataFormat format)

The format of the model input configuration. The format differs depending on if it is passed through to SageMaker or constructed by Amazon Fraud Detector.

Parameters:

format - The format of the model input configuration. The format differs depending on if it is passed through to SageMaker or constructed by Amazon Fraud Detector.

Returns:

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

See Also:

ModelInputDataFormat

setIsOpaque

public void setIsOpaque(Boolean isOpaque)

For an opaque-model, the input to the model will be a ByteBuffer blob provided in the getPrediction request, and will be passed to SageMaker as-is. For non-opaque models, the input will be constructed by Amazon Fraud Detector based on the model-configuration.

Parameters:

isOpaque - For an opaque-model, the input to the model will be a ByteBuffer blob provided in the getPrediction request, and will be passed to SageMaker as-is. For non-opaque models, the input will be constructed by Amazon Fraud Detector based on the model-configuration.

getIsOpaque

public Boolean getIsOpaque()

For an opaque-model, the input to the model will be a ByteBuffer blob provided in the getPrediction request, and will be passed to SageMaker as-is. For non-opaque models, the input will be constructed by Amazon Fraud Detector based on the model-configuration.

Returns:

For an opaque-model, the input to the model will be a ByteBuffer blob provided in the getPrediction request, and will be passed to SageMaker as-is. For non-opaque models, the input will be constructed by Amazon Fraud Detector based on the model-configuration.

withIsOpaque

public ModelInputConfiguration withIsOpaque(Boolean isOpaque)

For an opaque-model, the input to the model will be a ByteBuffer blob provided in the getPrediction request, and will be passed to SageMaker as-is. For non-opaque models, the input will be constructed by Amazon Fraud Detector based on the model-configuration.

Parameters:

isOpaque - For an opaque-model, the input to the model will be a ByteBuffer blob provided in the getPrediction request, and will be passed to SageMaker as-is. For non-opaque models, the input will be constructed by Amazon Fraud Detector based on the model-configuration.

Returns:

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

isOpaque

public Boolean isOpaque()

For an opaque-model, the input to the model will be a ByteBuffer blob provided in the getPrediction request, and will be passed to SageMaker as-is. For non-opaque models, the input will be constructed by Amazon Fraud Detector based on the model-configuration.

Returns:

For an opaque-model, the input to the model will be a ByteBuffer blob provided in the getPrediction request, and will be passed to SageMaker as-is. For non-opaque models, the input will be constructed by Amazon Fraud Detector based on the model-configuration.

setJsonInputTemplate

public void setJsonInputTemplate(String jsonInputTemplate)

Template for constructing the JSON input-data sent to SageMaker. At event-evaluation, the placeholders for variable names in the template will be replaced with the variable values before being sent to SageMaker.

Parameters:

jsonInputTemplate - Template for constructing the JSON input-data sent to SageMaker. At event-evaluation, the placeholders for variable names in the template will be replaced with the variable values before being sent to SageMaker.

getJsonInputTemplate

public String getJsonInputTemplate()

Template for constructing the JSON input-data sent to SageMaker. At event-evaluation, the placeholders for variable names in the template will be replaced with the variable values before being sent to SageMaker.

Returns:

Template for constructing the JSON input-data sent to SageMaker. At event-evaluation, the placeholders for variable names in the template will be replaced with the variable values before being sent to SageMaker.

withJsonInputTemplate

public ModelInputConfiguration withJsonInputTemplate(String jsonInputTemplate)

Template for constructing the JSON input-data sent to SageMaker. At event-evaluation, the placeholders for variable names in the template will be replaced with the variable values before being sent to SageMaker.

Parameters:

jsonInputTemplate - Template for constructing the JSON input-data sent to SageMaker. At event-evaluation, the placeholders for variable names in the template will be replaced with the variable values before being sent to SageMaker.

Returns:

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

setCsvInputTemplate

public void setCsvInputTemplate(String csvInputTemplate)

Template for constructing the CSV input-data sent to SageMaker. At event-evaluation, the placeholders for variable-names in the template will be replaced with the variable values before being sent to SageMaker.

Parameters:

csvInputTemplate - Template for constructing the CSV input-data sent to SageMaker. At event-evaluation, the placeholders for variable-names in the template will be replaced with the variable values before being sent to SageMaker.

getCsvInputTemplate

public String getCsvInputTemplate()

Template for constructing the CSV input-data sent to SageMaker. At event-evaluation, the placeholders for variable-names in the template will be replaced with the variable values before being sent to SageMaker.

Returns:

Template for constructing the CSV input-data sent to SageMaker. At event-evaluation, the placeholders for variable-names in the template will be replaced with the variable values before being sent to SageMaker.

withCsvInputTemplate

public ModelInputConfiguration withCsvInputTemplate(String csvInputTemplate)

Template for constructing the CSV input-data sent to SageMaker. At event-evaluation, the placeholders for variable-names in the template will be replaced with the variable values before being sent to SageMaker.

Parameters:

csvInputTemplate - Template for constructing the CSV input-data sent to SageMaker. At event-evaluation, the placeholders for variable-names in the template will be replaced with the variable values before being sent to SageMaker.

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 ModelInputConfiguration clone()

Overrides:

clone in class Object

marshall

public void marshall(ProtocolMarshaller protocolMarshaller)

Description copied from interface: StructuredPojo

Marshalls this structured data using the given ProtocolMarshaller.

Specified by:

marshall in interface StructuredPojo

Parameters:

protocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.