public class CreateLanguageModelRequest extends AmazonWebServiceRequest implements java.io.Serializable
Creates a new custom language model. Use Amazon S3 prefixes to provide the location of your input files. The time it takes to create your model depends on the size of your training data.
Constructor and Description |
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CreateLanguageModelRequest() |
Modifier and Type | Method and Description |
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boolean |
equals(java.lang.Object obj) |
java.lang.String |
getBaseModelName()
The Amazon Transcribe standard language model, or base model used to
create your custom language model.
|
InputDataConfig |
getInputDataConfig()
Contains the data access role and the Amazon S3 prefixes to read the
required input files to create a custom language model.
|
java.lang.String |
getLanguageCode()
The language of the input text you're using to train your custom language
model.
|
java.lang.String |
getModelName()
The name you choose for your custom language model when you create it.
|
int |
hashCode() |
void |
setBaseModelName(BaseModelName baseModelName)
The Amazon Transcribe standard language model, or base model used to
create your custom language model.
|
void |
setBaseModelName(java.lang.String baseModelName)
The Amazon Transcribe standard language model, or base model used to
create your custom language model.
|
void |
setInputDataConfig(InputDataConfig inputDataConfig)
Contains the data access role and the Amazon S3 prefixes to read the
required input files to create a custom language model.
|
void |
setLanguageCode(CLMLanguageCode languageCode)
The language of the input text you're using to train your custom language
model.
|
void |
setLanguageCode(java.lang.String languageCode)
The language of the input text you're using to train your custom language
model.
|
void |
setModelName(java.lang.String modelName)
The name you choose for your custom language model when you create it.
|
java.lang.String |
toString()
Returns a string representation of this object; useful for testing and
debugging.
|
CreateLanguageModelRequest |
withBaseModelName(BaseModelName baseModelName)
The Amazon Transcribe standard language model, or base model used to
create your custom language model.
|
CreateLanguageModelRequest |
withBaseModelName(java.lang.String baseModelName)
The Amazon Transcribe standard language model, or base model used to
create your custom language model.
|
CreateLanguageModelRequest |
withInputDataConfig(InputDataConfig inputDataConfig)
Contains the data access role and the Amazon S3 prefixes to read the
required input files to create a custom language model.
|
CreateLanguageModelRequest |
withLanguageCode(CLMLanguageCode languageCode)
The language of the input text you're using to train your custom language
model.
|
CreateLanguageModelRequest |
withLanguageCode(java.lang.String languageCode)
The language of the input text you're using to train your custom language
model.
|
CreateLanguageModelRequest |
withModelName(java.lang.String modelName)
The name you choose for your custom language model when you create it.
|
clone, getCloneRoot, getCloneSource, getGeneralProgressListener, getRequestClientOptions, getRequestCredentials, getRequestMetricCollector, setGeneralProgressListener, setRequestCredentials, setRequestMetricCollector, withGeneralProgressListener, withRequestMetricCollector
public java.lang.String getLanguageCode()
The language of the input text you're using to train your custom language model.
Constraints:
Allowed Values: en-US
The language of the input text you're using to train your custom language model.
CLMLanguageCode
public void setLanguageCode(java.lang.String languageCode)
The language of the input text you're using to train your custom language model.
Constraints:
Allowed Values: en-US
languageCode
- The language of the input text you're using to train your custom language model.
CLMLanguageCode
public CreateLanguageModelRequest withLanguageCode(java.lang.String languageCode)
The language of the input text you're using to train your custom language model.
Returns a reference to this object so that method calls can be chained together.
Constraints:
Allowed Values: en-US
languageCode
- The language of the input text you're using to train your custom language model.
CLMLanguageCode
public void setLanguageCode(CLMLanguageCode languageCode)
The language of the input text you're using to train your custom language model.
Constraints:
Allowed Values: en-US
languageCode
- The language of the input text you're using to train your custom language model.
CLMLanguageCode
public CreateLanguageModelRequest withLanguageCode(CLMLanguageCode languageCode)
The language of the input text you're using to train your custom language model.
Returns a reference to this object so that method calls can be chained together.
Constraints:
Allowed Values: en-US
languageCode
- The language of the input text you're using to train your custom language model.
CLMLanguageCode
public java.lang.String getBaseModelName()
The Amazon Transcribe standard language model, or base model used to create your custom language model.
If you want to use your custom language model to transcribe audio with a
sample rate of 16 kHz or greater, choose Wideband
.
If you want to use your custom language model to transcribe audio with a
sample rate that is less than 16 kHz, choose Narrowband
.
Constraints:
Allowed Values: NarrowBand, WideBand
The Amazon Transcribe standard language model, or base model used to create your custom language model.
If you want to use your custom language model to transcribe audio
with a sample rate of 16 kHz or greater, choose
Wideband
.
If you want to use your custom language model to transcribe audio
with a sample rate that is less than 16 kHz, choose
Narrowband
.
BaseModelName
public void setBaseModelName(java.lang.String baseModelName)
The Amazon Transcribe standard language model, or base model used to create your custom language model.
If you want to use your custom language model to transcribe audio with a
sample rate of 16 kHz or greater, choose Wideband
.
If you want to use your custom language model to transcribe audio with a
sample rate that is less than 16 kHz, choose Narrowband
.
Constraints:
Allowed Values: NarrowBand, WideBand
baseModelName
- The Amazon Transcribe standard language model, or base model used to create your custom language model.
If you want to use your custom language model to transcribe
audio with a sample rate of 16 kHz or greater, choose
Wideband
.
If you want to use your custom language model to transcribe
audio with a sample rate that is less than 16 kHz, choose
Narrowband
.
BaseModelName
public CreateLanguageModelRequest withBaseModelName(java.lang.String baseModelName)
The Amazon Transcribe standard language model, or base model used to create your custom language model.
If you want to use your custom language model to transcribe audio with a
sample rate of 16 kHz or greater, choose Wideband
.
If you want to use your custom language model to transcribe audio with a
sample rate that is less than 16 kHz, choose Narrowband
.
Returns a reference to this object so that method calls can be chained together.
Constraints:
Allowed Values: NarrowBand, WideBand
baseModelName
- The Amazon Transcribe standard language model, or base model used to create your custom language model.
If you want to use your custom language model to transcribe
audio with a sample rate of 16 kHz or greater, choose
Wideband
.
If you want to use your custom language model to transcribe
audio with a sample rate that is less than 16 kHz, choose
Narrowband
.
BaseModelName
public void setBaseModelName(BaseModelName baseModelName)
The Amazon Transcribe standard language model, or base model used to create your custom language model.
If you want to use your custom language model to transcribe audio with a
sample rate of 16 kHz or greater, choose Wideband
.
If you want to use your custom language model to transcribe audio with a
sample rate that is less than 16 kHz, choose Narrowband
.
Constraints:
Allowed Values: NarrowBand, WideBand
baseModelName
- The Amazon Transcribe standard language model, or base model used to create your custom language model.
If you want to use your custom language model to transcribe
audio with a sample rate of 16 kHz or greater, choose
Wideband
.
If you want to use your custom language model to transcribe
audio with a sample rate that is less than 16 kHz, choose
Narrowband
.
BaseModelName
public CreateLanguageModelRequest withBaseModelName(BaseModelName baseModelName)
The Amazon Transcribe standard language model, or base model used to create your custom language model.
If you want to use your custom language model to transcribe audio with a
sample rate of 16 kHz or greater, choose Wideband
.
If you want to use your custom language model to transcribe audio with a
sample rate that is less than 16 kHz, choose Narrowband
.
Returns a reference to this object so that method calls can be chained together.
Constraints:
Allowed Values: NarrowBand, WideBand
baseModelName
- The Amazon Transcribe standard language model, or base model used to create your custom language model.
If you want to use your custom language model to transcribe
audio with a sample rate of 16 kHz or greater, choose
Wideband
.
If you want to use your custom language model to transcribe
audio with a sample rate that is less than 16 kHz, choose
Narrowband
.
BaseModelName
public java.lang.String getModelName()
The name you choose for your custom language model when you create it.
Constraints:
Length: 1 - 200
Pattern: ^[0-9a-zA-Z._-]+
The name you choose for your custom language model when you create it.
public void setModelName(java.lang.String modelName)
The name you choose for your custom language model when you create it.
Constraints:
Length: 1 - 200
Pattern: ^[0-9a-zA-Z._-]+
modelName
- The name you choose for your custom language model when you create it.
public CreateLanguageModelRequest withModelName(java.lang.String modelName)
The name you choose for your custom language model when you create it.
Returns a reference to this object so that method calls can be chained together.
Constraints:
Length: 1 - 200
Pattern: ^[0-9a-zA-Z._-]+
modelName
- The name you choose for your custom language model when you create it.
public InputDataConfig getInputDataConfig()
Contains the data access role and the Amazon S3 prefixes to read the required input files to create a custom language model.
Contains the data access role and the Amazon S3 prefixes to read the required input files to create a custom language model.
public void setInputDataConfig(InputDataConfig inputDataConfig)
Contains the data access role and the Amazon S3 prefixes to read the required input files to create a custom language model.
inputDataConfig
- Contains the data access role and the Amazon S3 prefixes to read the required input files to create a custom language model.
public CreateLanguageModelRequest withInputDataConfig(InputDataConfig inputDataConfig)
Contains the data access role and the Amazon S3 prefixes to read the required input files to create a custom language model.
Returns a reference to this object so that method calls can be chained together.
inputDataConfig
- Contains the data access role and the Amazon S3 prefixes to read the required input files to create a custom language model.
public java.lang.String toString()
toString
in class java.lang.Object
Object.toString()
public int hashCode()
hashCode
in class java.lang.Object
public boolean equals(java.lang.Object obj)
equals
in class java.lang.Object
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