Class RealtimeEndpointInfo
- All Implemented Interfaces:
Serializable, Cloneable
Describes the real-time endpoint information for an MLModel.
- See Also:
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionclone()booleanThe time that the request to create the real-time endpoint for theMLModelwas received.The current status of the real-time endpoint for theMLModel.The URI that specifies where to send real-time prediction requests for theMLModel.The maximum processing rate for the real-time endpoint forMLModel, measured in incoming requests per second.inthashCode()voidsetCreatedAt(Date createdAt) The time that the request to create the real-time endpoint for theMLModelwas received.voidsetEndpointStatus(RealtimeEndpointStatus endpointStatus) The current status of the real-time endpoint for theMLModel.voidsetEndpointStatus(String endpointStatus) The current status of the real-time endpoint for theMLModel.voidsetEndpointUrl(String endpointUrl) The URI that specifies where to send real-time prediction requests for theMLModel.voidsetPeakRequestsPerSecond(Integer peakRequestsPerSecond) The maximum processing rate for the real-time endpoint forMLModel, measured in incoming requests per second.toString()Returns a string representation of this object; useful for testing and debugging.withCreatedAt(Date createdAt) The time that the request to create the real-time endpoint for theMLModelwas received.withEndpointStatus(RealtimeEndpointStatus endpointStatus) The current status of the real-time endpoint for theMLModel.withEndpointStatus(String endpointStatus) The current status of the real-time endpoint for theMLModel.withEndpointUrl(String endpointUrl) The URI that specifies where to send real-time prediction requests for theMLModel.withPeakRequestsPerSecond(Integer peakRequestsPerSecond) The maximum processing rate for the real-time endpoint forMLModel, measured in incoming requests per second.
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Constructor Details
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RealtimeEndpointInfo
public RealtimeEndpointInfo()
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Method Details
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setPeakRequestsPerSecond
The maximum processing rate for the real-time endpoint for
MLModel, measured in incoming requests per second.- Parameters:
peakRequestsPerSecond- The maximum processing rate for the real-time endpoint forMLModel, measured in incoming requests per second.
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getPeakRequestsPerSecond
The maximum processing rate for the real-time endpoint for
MLModel, measured in incoming requests per second.- Returns:
- The maximum processing rate for the real-time endpoint for
MLModel, measured in incoming requests per second.
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withPeakRequestsPerSecond
The maximum processing rate for the real-time endpoint for
MLModel, measured in incoming requests per second.- Parameters:
peakRequestsPerSecond- The maximum processing rate for the real-time endpoint forMLModel, measured in incoming requests per second.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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setCreatedAt
The time that the request to create the real-time endpoint for the
MLModelwas received. The time is expressed in epoch time.- Parameters:
createdAt- The time that the request to create the real-time endpoint for theMLModelwas received. The time is expressed in epoch time.
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getCreatedAt
The time that the request to create the real-time endpoint for the
MLModelwas received. The time is expressed in epoch time.- Returns:
- The time that the request to create the real-time endpoint for
the
MLModelwas received. The time is expressed in epoch time.
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withCreatedAt
The time that the request to create the real-time endpoint for the
MLModelwas received. The time is expressed in epoch time.- Parameters:
createdAt- The time that the request to create the real-time endpoint for theMLModelwas received. The time is expressed in epoch time.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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setEndpointUrl
The URI that specifies where to send real-time prediction requests for the
MLModel.Note The application must wait until the real-time endpoint is ready before using this URI.
- Parameters:
endpointUrl- The URI that specifies where to send real-time prediction requests for theMLModel.Note The application must wait until the real-time endpoint is ready before using this URI.
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getEndpointUrl
The URI that specifies where to send real-time prediction requests for the
MLModel.Note The application must wait until the real-time endpoint is ready before using this URI.
- Returns:
- The URI that specifies where to send real-time prediction
requests for the
MLModel.Note The application must wait until the real-time endpoint is ready before using this URI.
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withEndpointUrl
The URI that specifies where to send real-time prediction requests for the
MLModel.Note The application must wait until the real-time endpoint is ready before using this URI.
- Parameters:
endpointUrl- The URI that specifies where to send real-time prediction requests for theMLModel.Note The application must wait until the real-time endpoint is ready before using this URI.
- Returns:
- Returns a reference to this object so that method calls can be chained together.
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setEndpointStatus
The current status of the real-time endpoint for the
MLModel. This element can have one of the following values:- NONE - Endpoint does not exist or was previously deleted.
- READY - Endpoint is ready to be used for real-time predictions.
- UPDATING - Updating/creating the endpoint.
- Parameters:
endpointStatus- The current status of the real-time endpoint for theMLModel. This element can have one of the following values:- NONE - Endpoint does not exist or was previously deleted.
- READY - Endpoint is ready to be used for real-time predictions.
- UPDATING - Updating/creating the endpoint.
- See Also:
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getEndpointStatus
The current status of the real-time endpoint for the
MLModel. This element can have one of the following values:- NONE - Endpoint does not exist or was previously deleted.
- READY - Endpoint is ready to be used for real-time predictions.
- UPDATING - Updating/creating the endpoint.
- Returns:
- The current status of the real-time endpoint for the
MLModel. This element can have one of the following values:- NONE - Endpoint does not exist or was previously deleted.
- READY - Endpoint is ready to be used for real-time predictions.
- UPDATING - Updating/creating the endpoint.
- See Also:
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withEndpointStatus
The current status of the real-time endpoint for the
MLModel. This element can have one of the following values:- NONE - Endpoint does not exist or was previously deleted.
- READY - Endpoint is ready to be used for real-time predictions.
- UPDATING - Updating/creating the endpoint.
- Parameters:
endpointStatus- The current status of the real-time endpoint for theMLModel. This element can have one of the following values:- NONE - Endpoint does not exist or was previously deleted.
- READY - Endpoint is ready to be used for real-time predictions.
- UPDATING - Updating/creating the endpoint.
- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
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setEndpointStatus
The current status of the real-time endpoint for the
MLModel. This element can have one of the following values:- NONE - Endpoint does not exist or was previously deleted.
- READY - Endpoint is ready to be used for real-time predictions.
- UPDATING - Updating/creating the endpoint.
- Parameters:
endpointStatus- The current status of the real-time endpoint for theMLModel. This element can have one of the following values:- NONE - Endpoint does not exist or was previously deleted.
- READY - Endpoint is ready to be used for real-time predictions.
- UPDATING - Updating/creating the endpoint.
- See Also:
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withEndpointStatus
The current status of the real-time endpoint for the
MLModel. This element can have one of the following values:- NONE - Endpoint does not exist or was previously deleted.
- READY - Endpoint is ready to be used for real-time predictions.
- UPDATING - Updating/creating the endpoint.
- Parameters:
endpointStatus- The current status of the real-time endpoint for theMLModel. This element can have one of the following values:- NONE - Endpoint does not exist or was previously deleted.
- READY - Endpoint is ready to be used for real-time predictions.
- UPDATING - Updating/creating the endpoint.
- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
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toString
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equals
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hashCode
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clone
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