Package software.amazon.awssdk.services.lookoutequipment.model

Interface CreateModelRequest.Builder

    • Method Detail

      • modelName

        CreateModelRequest.Builder modelName​(String modelName)

        The name for the machine learning model to be created.

        Parameters:
        modelName - The name for the machine learning model to be created.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • datasetName

        CreateModelRequest.Builder datasetName​(String datasetName)

        The name of the dataset for the machine learning model being created.

        Parameters:
        datasetName - The name of the dataset for the machine learning model being created.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • datasetSchema

        CreateModelRequest.Builder datasetSchema​(DatasetSchema datasetSchema)

        The data schema for the machine learning model being created.

        Parameters:
        datasetSchema - The data schema for the machine learning model being created.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • labelsInputConfiguration

        CreateModelRequest.Builder labelsInputConfiguration​(LabelsInputConfiguration labelsInputConfiguration)

        The input configuration for the labels being used for the machine learning model that's being created.

        Parameters:
        labelsInputConfiguration - The input configuration for the labels being used for the machine learning model that's being created.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • clientToken

        CreateModelRequest.Builder clientToken​(String clientToken)

        A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.

        Parameters:
        clientToken - A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • trainingDataStartTime

        CreateModelRequest.Builder trainingDataStartTime​(Instant trainingDataStartTime)

        Indicates the time reference in the dataset that should be used to begin the subset of training data for the machine learning model.

        Parameters:
        trainingDataStartTime - Indicates the time reference in the dataset that should be used to begin the subset of training data for the machine learning model.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • trainingDataEndTime

        CreateModelRequest.Builder trainingDataEndTime​(Instant trainingDataEndTime)

        Indicates the time reference in the dataset that should be used to end the subset of training data for the machine learning model.

        Parameters:
        trainingDataEndTime - Indicates the time reference in the dataset that should be used to end the subset of training data for the machine learning model.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • evaluationDataStartTime

        CreateModelRequest.Builder evaluationDataStartTime​(Instant evaluationDataStartTime)

        Indicates the time reference in the dataset that should be used to begin the subset of evaluation data for the machine learning model.

        Parameters:
        evaluationDataStartTime - Indicates the time reference in the dataset that should be used to begin the subset of evaluation data for the machine learning model.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • evaluationDataEndTime

        CreateModelRequest.Builder evaluationDataEndTime​(Instant evaluationDataEndTime)

        Indicates the time reference in the dataset that should be used to end the subset of evaluation data for the machine learning model.

        Parameters:
        evaluationDataEndTime - Indicates the time reference in the dataset that should be used to end the subset of evaluation data for the machine learning model.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • roleArn

        CreateModelRequest.Builder roleArn​(String roleArn)

        The Amazon Resource Name (ARN) of a role with permission to access the data source being used to create the machine learning model.

        Parameters:
        roleArn - The Amazon Resource Name (ARN) of a role with permission to access the data source being used to create the machine learning model.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • dataPreProcessingConfiguration

        CreateModelRequest.Builder dataPreProcessingConfiguration​(DataPreProcessingConfiguration dataPreProcessingConfiguration)

        The configuration is the TargetSamplingRate, which is the sampling rate of the data after post processing by Amazon Lookout for Equipment. For example, if you provide data that has been collected at a 1 second level and you want the system to resample the data at a 1 minute rate before training, the TargetSamplingRate is 1 minute.

        When providing a value for the TargetSamplingRate, you must attach the prefix "PT" to the rate you want. The value for a 1 second rate is therefore PT1S, the value for a 15 minute rate is PT15M, and the value for a 1 hour rate is PT1H

        Parameters:
        dataPreProcessingConfiguration - The configuration is the TargetSamplingRate, which is the sampling rate of the data after post processing by Amazon Lookout for Equipment. For example, if you provide data that has been collected at a 1 second level and you want the system to resample the data at a 1 minute rate before training, the TargetSamplingRate is 1 minute.

        When providing a value for the TargetSamplingRate, you must attach the prefix "PT" to the rate you want. The value for a 1 second rate is therefore PT1S, the value for a 15 minute rate is PT15M, and the value for a 1 hour rate is PT1H

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

      • serverSideKmsKeyId

        CreateModelRequest.Builder serverSideKmsKeyId​(String serverSideKmsKeyId)

        Provides the identifier of the KMS key used to encrypt model data by Amazon Lookout for Equipment.

        Parameters:
        serverSideKmsKeyId - Provides the identifier of the KMS key used to encrypt model data by Amazon Lookout for Equipment.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • tags

        CreateModelRequest.Builder tags​(Collection<Tag> tags)

        Any tags associated with the machine learning model being created.

        Parameters:
        tags - Any tags associated with the machine learning model being created.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • tags

        CreateModelRequest.Builder tags​(Tag... tags)

        Any tags associated with the machine learning model being created.

        Parameters:
        tags - Any tags associated with the machine learning model being created.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • tags

        CreateModelRequest.Builder tags​(Consumer<Tag.Builder>... tags)

        Any tags associated with the machine learning model being created.

        This is a convenience method that creates an instance of the Tag.Builder avoiding the need to create one manually via Tag.builder().

        When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to #tags(List).

        Parameters:
        tags - a consumer that will call methods on Tag.Builder
        Returns:
        Returns a reference to this object so that method calls can be chained together.
        See Also:
        #tags(java.util.Collection)

      • offCondition

        CreateModelRequest.Builder offCondition​(String offCondition)

        Indicates that the asset associated with this sensor has been shut off. As long as this condition is met, Lookout for Equipment will not use data from this asset for training, evaluation, or inference.

        Parameters:
        offCondition - Indicates that the asset associated with this sensor has been shut off. As long as this condition is met, Lookout for Equipment will not use data from this asset for training, evaluation, or inference.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • modelDiagnosticsOutputConfiguration

        CreateModelRequest.Builder modelDiagnosticsOutputConfiguration​(ModelDiagnosticsOutputConfiguration modelDiagnosticsOutputConfiguration)

        The Amazon S3 location where you want Amazon Lookout for Equipment to save the pointwise model diagnostics. You must also specify the RoleArn request parameter.

        Parameters:
        modelDiagnosticsOutputConfiguration - The Amazon S3 location where you want Amazon Lookout for Equipment to save the pointwise model diagnostics. You must also specify the RoleArn request parameter.
        Returns:
        Returns a reference to this object so that method calls can be chained together.