com.amazonaws.services.sagemaker.sparksdk
SageMakerModel
Related Docs:
class SageMakerModel
| package sparksdk
com.amazonaws.services.sagemaker.sparksdk
Creates a SageMakerModel that can be used to transform DataFrames based on endpointName.
Creates a SageMakerModel that can be used to transform DataFrames based on endpointName.
The name of an endpoint that is current in service.
Serializes a Row to an Array of Bytes
Deserializes an Array of Bytes to a series of Rows
The environment variables that SageMaker will set on the model container during execution.
Amazon SageMaker client. Used to send CreateTrainingJob, CreateModel, and CreateEndpoint requests.
Whether the transformation result should also include the input Rows. If true, each output Row is formed by a concatenation of the input Row with the corresponding Row produced by SageMaker invocation, produced by responseRowDeserializer. If false, each output Row is just taken from responseRowDeserializer.
The NamePolicy to use when naming SageMaker entities created during usage of this Model.
The unique identifier of this Estimator. Used to represent this stage in Spark ML pipelines.
a SageMakerModel that sends InvokeEndpoint requests to the given endpoint.
Creates a SageMakerModel that can be used to transform DataFrames using a given model stored in S3.
Creates a SageMakerModel that can be used to transform DataFrames using a given model stored in S3.
The S3 URI to the model data to host.
The URI of the image that will serves model inferences.
The IAM Role used by SageMaker when running the hosted Model and to download model data from S3.
The instance type used to run the model container.
The minimum number of instances used to host the model.
Serializes a Row to an Array of Bytes.
Deserializes an Array of Bytes to a series of Rows.
The environment variables that SageMaker will set on the model container during execution.
Whether the endpoint is created upon SageMakerModel construction, transformation, or not at all.
Amazon SageMaker client. Used to send CreateTrainingJob, CreateModel, and CreateEndpoint requests.
Whether the transformation result should also include the input Rows. If true, each output Row is formed by a concatenation of the input Row with the corresponding Row produced by SageMaker invocation, produced by responseRowDeserializer. If false, each output Row is just taken from responseRowDeserializer.
The NamePolicy to use when naming SageMaker entities created during usage of this Model.
The unique identifier of this Estimator. Used to represent this stage in Spark ML pipelines.
A SageMakerModel that sends InvokeEndpoint requests to an endpoint hosting the given model.
Creates a SageMakerModel that can be used to transform DataFrames from a given successfully completed Training Job.
Creates a SageMakerModel that can be used to transform DataFrames from a given successfully completed Training Job.
The name of the successfully completed training job.
The URI of the image that will serve model inferences.
The IAM Role used by SageMaker when running the hosted Model and to download model data from S3.
The instance type used to run the model container.
The minimum number of instances used to host the model.
Serializes a Row to an Array of Bytes.
Deserializes an Array of Bytes to a series of Rows.
The environment variables that SageMaker will set on the model container during execution.
Whether the endpoint is created upon SageMakerModel construction, transformation, or not at all.
Amazon SageMaker client. Used to send CreateTrainingJob, CreateModel, and CreateEndpoint requests.
Whether the transformation result should also include the input Rows. If true, each output Row is formed by a concatenation of the input Row with the corresponding Row produced by SageMaker invocation, produced by responseRowDeserializer. If false, each output Row is just taken from responseRowDeserializer.
The NamePolicy to use when naming SageMaker entities created during usage of this Model.
The unique identifier of this Estimator. Used to represent this stage in Spark ML pipelines.
A SageMakerModel that sends InvokeEndpoint requests to an endpoint hosting the training job's model.