com.amazonaws.services.comprehend.model

Class CreateEntityRecognizerRequest

java.lang.Object

com.amazonaws.AmazonWebServiceRequest

com.amazonaws.services.comprehend.model.CreateEntityRecognizerRequest

All Implemented Interfaces:

HandlerContextAware, ReadLimitInfo, Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class CreateEntityRecognizerRequest
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
CreateEntityRecognizerRequest()

Method Summary

Modifier and Type	Method and Description
CreateEntityRecognizerRequest	clone() Creates a shallow clone of this object for all fields except the handler context.
boolean	equals(Object obj)
String	getClientRequestToken() A unique identifier for the request.
String	getDataAccessRoleArn() The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
EntityRecognizerInputDataConfig	getInputDataConfig() Specifies the format and location of the input data.
String	getLanguageCode() You can specify any of the following languages: English ("en"), Spanish ("es"), French ("fr"), Italian ("it"), German ("de"), or Portuguese ("pt").
String	getModelKmsKeyId() ID for the KMS key that Amazon Comprehend uses to encrypt trained custom models.
String	getModelPolicy() The JSON resource-based policy to attach to your custom entity recognizer model.
String	getRecognizerName() The name given to the newly created recognizer.
List<Tag>	getTags() Tags to associate with the entity recognizer.
String	getVersionName() The version name given to the newly created recognizer.
String	getVolumeKmsKeyId() ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job.
VpcConfig	getVpcConfig() Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your custom entity recognizer.
int	hashCode()
void	setClientRequestToken(String clientRequestToken) A unique identifier for the request.
void	setDataAccessRoleArn(String dataAccessRoleArn) The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
void	setInputDataConfig(EntityRecognizerInputDataConfig inputDataConfig) Specifies the format and location of the input data.
void	setLanguageCode(String languageCode) You can specify any of the following languages: English ("en"), Spanish ("es"), French ("fr"), Italian ("it"), German ("de"), or Portuguese ("pt").
void	setModelKmsKeyId(String modelKmsKeyId) ID for the KMS key that Amazon Comprehend uses to encrypt trained custom models.
void	setModelPolicy(String modelPolicy) The JSON resource-based policy to attach to your custom entity recognizer model.
void	setRecognizerName(String recognizerName) The name given to the newly created recognizer.
void	setTags(Collection<Tag> tags) Tags to associate with the entity recognizer.
void	setVersionName(String versionName) The version name given to the newly created recognizer.
void	setVolumeKmsKeyId(String volumeKmsKeyId) ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job.
void	setVpcConfig(VpcConfig vpcConfig) Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your custom entity recognizer.
String	toString() Returns a string representation of this object.
CreateEntityRecognizerRequest	withClientRequestToken(String clientRequestToken) A unique identifier for the request.
CreateEntityRecognizerRequest	withDataAccessRoleArn(String dataAccessRoleArn) The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
CreateEntityRecognizerRequest	withInputDataConfig(EntityRecognizerInputDataConfig inputDataConfig) Specifies the format and location of the input data.
CreateEntityRecognizerRequest	withLanguageCode(LanguageCode languageCode) You can specify any of the following languages: English ("en"), Spanish ("es"), French ("fr"), Italian ("it"), German ("de"), or Portuguese ("pt").
CreateEntityRecognizerRequest	withLanguageCode(String languageCode) You can specify any of the following languages: English ("en"), Spanish ("es"), French ("fr"), Italian ("it"), German ("de"), or Portuguese ("pt").
CreateEntityRecognizerRequest	withModelKmsKeyId(String modelKmsKeyId) ID for the KMS key that Amazon Comprehend uses to encrypt trained custom models.
CreateEntityRecognizerRequest	withModelPolicy(String modelPolicy) The JSON resource-based policy to attach to your custom entity recognizer model.
CreateEntityRecognizerRequest	withRecognizerName(String recognizerName) The name given to the newly created recognizer.
CreateEntityRecognizerRequest	withTags(Collection<Tag> tags) Tags to associate with the entity recognizer.
CreateEntityRecognizerRequest	withTags(Tag... tags) Tags to associate with the entity recognizer.
CreateEntityRecognizerRequest	withVersionName(String versionName) The version name given to the newly created recognizer.
CreateEntityRecognizerRequest	withVolumeKmsKeyId(String volumeKmsKeyId) ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job.
CreateEntityRecognizerRequest	withVpcConfig(VpcConfig vpcConfig) Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your custom entity recognizer.

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

CreateEntityRecognizerRequest

public CreateEntityRecognizerRequest()

Method Detail

setRecognizerName

public void setRecognizerName(String recognizerName)

The name given to the newly created recognizer. Recognizer names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The name must be unique in the account/Region.

Parameters:

recognizerName - The name given to the newly created recognizer. Recognizer names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The name must be unique in the account/Region.

getRecognizerName

public String getRecognizerName()

The name given to the newly created recognizer. Recognizer names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The name must be unique in the account/Region.

Returns:

The name given to the newly created recognizer. Recognizer names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The name must be unique in the account/Region.

withRecognizerName

public CreateEntityRecognizerRequest withRecognizerName(String recognizerName)

The name given to the newly created recognizer. Recognizer names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The name must be unique in the account/Region.

Parameters:

recognizerName - The name given to the newly created recognizer. Recognizer names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The name must be unique in the account/Region.

Returns:

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

setVersionName

public void setVersionName(String versionName)

The version name given to the newly created recognizer. Version names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The version name must be unique among all models with the same recognizer name in the account/Region.

Parameters:

versionName - The version name given to the newly created recognizer. Version names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The version name must be unique among all models with the same recognizer name in the account/Region.

getVersionName

public String getVersionName()

The version name given to the newly created recognizer. Version names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The version name must be unique among all models with the same recognizer name in the account/Region.

Returns:

The version name given to the newly created recognizer. Version names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The version name must be unique among all models with the same recognizer name in the account/Region.

withVersionName

public CreateEntityRecognizerRequest withVersionName(String versionName)

The version name given to the newly created recognizer. Version names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The version name must be unique among all models with the same recognizer name in the account/Region.

Parameters:

versionName - The version name given to the newly created recognizer. Version names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The version name must be unique among all models with the same recognizer name in the account/Region.

Returns:

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

setDataAccessRoleArn

public void setDataAccessRoleArn(String dataAccessRoleArn)

The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.

Parameters:

dataAccessRoleArn - The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.

getDataAccessRoleArn

public String getDataAccessRoleArn()

The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.

Returns:

The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.

withDataAccessRoleArn

public CreateEntityRecognizerRequest withDataAccessRoleArn(String dataAccessRoleArn)

The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.

Parameters:

dataAccessRoleArn - The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.

Returns:

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

getTags

public List<Tag> getTags()

Tags to associate with the entity recognizer. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.

Returns:

Tags to associate with the entity recognizer. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.

setTags

public void setTags(Collection<Tag> tags)

Tags to associate with the entity recognizer. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.

Parameters:

tags - Tags to associate with the entity recognizer. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.

withTags

public CreateEntityRecognizerRequest withTags(Tag... tags)

Tags to associate with the entity recognizer. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.

NOTE: This method appends the values to the existing list (if any). Use setTags(java.util.Collection) or withTags(java.util.Collection) if you want to override the existing values.

Parameters:

tags - Tags to associate with the entity recognizer. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.

Returns:

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

withTags

public CreateEntityRecognizerRequest withTags(Collection<Tag> tags)

Tags to associate with the entity recognizer. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.

Parameters:

tags - Tags to associate with the entity recognizer. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.

Returns:

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

setInputDataConfig

public void setInputDataConfig(EntityRecognizerInputDataConfig inputDataConfig)

Specifies the format and location of the input data. The S3 bucket containing the input data must be located in the same Region as the entity recognizer being created.

Parameters:

inputDataConfig - Specifies the format and location of the input data. The S3 bucket containing the input data must be located in the same Region as the entity recognizer being created.

getInputDataConfig

public EntityRecognizerInputDataConfig getInputDataConfig()

Specifies the format and location of the input data. The S3 bucket containing the input data must be located in the same Region as the entity recognizer being created.

Returns:

Specifies the format and location of the input data. The S3 bucket containing the input data must be located in the same Region as the entity recognizer being created.

withInputDataConfig

public CreateEntityRecognizerRequest withInputDataConfig(EntityRecognizerInputDataConfig inputDataConfig)

Specifies the format and location of the input data. The S3 bucket containing the input data must be located in the same Region as the entity recognizer being created.

Parameters:

inputDataConfig - Specifies the format and location of the input data. The S3 bucket containing the input data must be located in the same Region as the entity recognizer being created.

Returns:

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

setClientRequestToken

public void setClientRequestToken(String clientRequestToken)

A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.

Parameters:

clientRequestToken - A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.

getClientRequestToken

public String getClientRequestToken()

A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.

Returns:

A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.

withClientRequestToken

public CreateEntityRecognizerRequest withClientRequestToken(String clientRequestToken)

A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.

Parameters:

clientRequestToken - A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.

Returns:

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

setLanguageCode

public void setLanguageCode(String languageCode)

You can specify any of the following languages: English ("en"), Spanish ("es"), French ("fr"), Italian ("it"), German ("de"), or Portuguese ("pt"). If you plan to use this entity recognizer with PDF, Word, or image input files, you must specify English as the language. All training documents must be in the same language.

Parameters:

languageCode - You can specify any of the following languages: English ("en"), Spanish ("es"), French ("fr"), Italian ("it"), German ("de"), or Portuguese ("pt"). If you plan to use this entity recognizer with PDF, Word, or image input files, you must specify English as the language. All training documents must be in the same language.

See Also:

LanguageCode

getLanguageCode

public String getLanguageCode()

You can specify any of the following languages: English ("en"), Spanish ("es"), French ("fr"), Italian ("it"), German ("de"), or Portuguese ("pt"). If you plan to use this entity recognizer with PDF, Word, or image input files, you must specify English as the language. All training documents must be in the same language.

Returns:

You can specify any of the following languages: English ("en"), Spanish ("es"), French ("fr"), Italian ("it"), German ("de"), or Portuguese ("pt"). If you plan to use this entity recognizer with PDF, Word, or image input files, you must specify English as the language. All training documents must be in the same language.

See Also:

LanguageCode

withLanguageCode

public CreateEntityRecognizerRequest withLanguageCode(String languageCode)

You can specify any of the following languages: English ("en"), Spanish ("es"), French ("fr"), Italian ("it"), German ("de"), or Portuguese ("pt"). If you plan to use this entity recognizer with PDF, Word, or image input files, you must specify English as the language. All training documents must be in the same language.

Parameters:

languageCode - You can specify any of the following languages: English ("en"), Spanish ("es"), French ("fr"), Italian ("it"), German ("de"), or Portuguese ("pt"). If you plan to use this entity recognizer with PDF, Word, or image input files, you must specify English as the language. All training documents must be in the same language.

Returns:

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

See Also:

LanguageCode

withLanguageCode

public CreateEntityRecognizerRequest withLanguageCode(LanguageCode languageCode)

You can specify any of the following languages: English ("en"), Spanish ("es"), French ("fr"), Italian ("it"), German ("de"), or Portuguese ("pt"). If you plan to use this entity recognizer with PDF, Word, or image input files, you must specify English as the language. All training documents must be in the same language.

Parameters:

languageCode - You can specify any of the following languages: English ("en"), Spanish ("es"), French ("fr"), Italian ("it"), German ("de"), or Portuguese ("pt"). If you plan to use this entity recognizer with PDF, Word, or image input files, you must specify English as the language. All training documents must be in the same language.

Returns:

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

See Also:

LanguageCode

setVolumeKmsKeyId

public void setVolumeKmsKeyId(String volumeKmsKeyId)

ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

• KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

• Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

Parameters:

volumeKmsKeyId - ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

• KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

• Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

getVolumeKmsKeyId

public String getVolumeKmsKeyId()

ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

• KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

• Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

Returns:

ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

• KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

• Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

withVolumeKmsKeyId

public CreateEntityRecognizerRequest withVolumeKmsKeyId(String volumeKmsKeyId)

ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

• KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

• Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

Parameters:

volumeKmsKeyId - ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

• KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

• Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

Returns:

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

setVpcConfig

public void setVpcConfig(VpcConfig vpcConfig)

Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your custom entity recognizer. For more information, see Amazon VPC.

Parameters:

vpcConfig - Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your custom entity recognizer. For more information, see Amazon VPC.

getVpcConfig

public VpcConfig getVpcConfig()

Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your custom entity recognizer. For more information, see Amazon VPC.

Returns:

Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your custom entity recognizer. For more information, see Amazon VPC.

withVpcConfig

public CreateEntityRecognizerRequest withVpcConfig(VpcConfig vpcConfig)

Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your custom entity recognizer. For more information, see Amazon VPC.

Parameters:

vpcConfig - Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your custom entity recognizer. For more information, see Amazon VPC.

Returns:

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

setModelKmsKeyId

public void setModelKmsKeyId(String modelKmsKeyId)

ID for the KMS key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId can be either of the following formats:

• KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

• Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

Parameters:

modelKmsKeyId - ID for the KMS key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId can be either of the following formats:

• KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

• Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

getModelKmsKeyId

public String getModelKmsKeyId()

ID for the KMS key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId can be either of the following formats:

• KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

• Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

Returns:

ID for the KMS key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId can be either of the following formats:

• KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

• Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

withModelKmsKeyId

public CreateEntityRecognizerRequest withModelKmsKeyId(String modelKmsKeyId)

ID for the KMS key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId can be either of the following formats:

• KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

• Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

Parameters:

modelKmsKeyId - ID for the KMS key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId can be either of the following formats:

• KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

• Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

Returns:

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

setModelPolicy

public void setModelPolicy(String modelPolicy)

The JSON resource-based policy to attach to your custom entity recognizer model. You can use this policy to allow another Amazon Web Services account to import your custom model.

Provide your JSON as a UTF-8 encoded string without line breaks. To provide valid JSON for your policy, enclose the attribute names and values in double quotes. If the JSON body is also enclosed in double quotes, then you must escape the double quotes that are inside the policy:

"{\"attribute\": \"value\", \"attribute\": [\"value\"]}"

To avoid escaping quotes, you can use single quotes to enclose the policy and double quotes to enclose the JSON names and values:

'{"attribute": "value", "attribute": ["value"]}'

Parameters:

modelPolicy - The JSON resource-based policy to attach to your custom entity recognizer model. You can use this policy to allow another Amazon Web Services account to import your custom model.

Provide your JSON as a UTF-8 encoded string without line breaks. To provide valid JSON for your policy, enclose the attribute names and values in double quotes. If the JSON body is also enclosed in double quotes, then you must escape the double quotes that are inside the policy:

"{\"attribute\": \"value\", \"attribute\": [\"value\"]}"

To avoid escaping quotes, you can use single quotes to enclose the policy and double quotes to enclose the JSON names and values:

'{"attribute": "value", "attribute": ["value"]}'

getModelPolicy

public String getModelPolicy()

The JSON resource-based policy to attach to your custom entity recognizer model. You can use this policy to allow another Amazon Web Services account to import your custom model.

Provide your JSON as a UTF-8 encoded string without line breaks. To provide valid JSON for your policy, enclose the attribute names and values in double quotes. If the JSON body is also enclosed in double quotes, then you must escape the double quotes that are inside the policy:

"{\"attribute\": \"value\", \"attribute\": [\"value\"]}"

To avoid escaping quotes, you can use single quotes to enclose the policy and double quotes to enclose the JSON names and values:

'{"attribute": "value", "attribute": ["value"]}'

Returns:

The JSON resource-based policy to attach to your custom entity recognizer model. You can use this policy to allow another Amazon Web Services account to import your custom model.

Provide your JSON as a UTF-8 encoded string without line breaks. To provide valid JSON for your policy, enclose the attribute names and values in double quotes. If the JSON body is also enclosed in double quotes, then you must escape the double quotes that are inside the policy:

"{\"attribute\": \"value\", \"attribute\": [\"value\"]}"

To avoid escaping quotes, you can use single quotes to enclose the policy and double quotes to enclose the JSON names and values:

'{"attribute": "value", "attribute": ["value"]}'

withModelPolicy

public CreateEntityRecognizerRequest withModelPolicy(String modelPolicy)

The JSON resource-based policy to attach to your custom entity recognizer model. You can use this policy to allow another Amazon Web Services account to import your custom model.

Provide your JSON as a UTF-8 encoded string without line breaks. To provide valid JSON for your policy, enclose the attribute names and values in double quotes. If the JSON body is also enclosed in double quotes, then you must escape the double quotes that are inside the policy:

"{\"attribute\": \"value\", \"attribute\": [\"value\"]}"

To avoid escaping quotes, you can use single quotes to enclose the policy and double quotes to enclose the JSON names and values:

'{"attribute": "value", "attribute": ["value"]}'

Parameters:

modelPolicy - The JSON resource-based policy to attach to your custom entity recognizer model. You can use this policy to allow another Amazon Web Services account to import your custom model.

Provide your JSON as a UTF-8 encoded string without line breaks. To provide valid JSON for your policy, enclose the attribute names and values in double quotes. If the JSON body is also enclosed in double quotes, then you must escape the double quotes that are inside the policy:

"{\"attribute\": \"value\", \"attribute\": [\"value\"]}"

To avoid escaping quotes, you can use single quotes to enclose the policy and double quotes to enclose the JSON names and values:

'{"attribute": "value", "attribute": ["value"]}'

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 CreateEntityRecognizerRequest 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()