| Package | Description |
|---|---|
| software.amazon.awssdk.services.lookoutequipment |
Amazon Lookout for Equipment is a machine learning service that uses advanced analytics to identify anomalies in
machines from sensor data for use in predictive maintenance.
|
| software.amazon.awssdk.services.lookoutequipment.model |
| Modifier and Type | Method and Description |
|---|---|
default CompletableFuture<CreateModelResponse> |
LookoutEquipmentAsyncClient.createModel(Consumer<CreateModelRequest.Builder> createModelRequest)
Creates an ML model for data inference.
|
default CreateModelResponse |
LookoutEquipmentClient.createModel(Consumer<CreateModelRequest.Builder> createModelRequest)
Creates an ML model for data inference.
|
| Modifier and Type | Method and Description |
|---|---|
static CreateModelRequest.Builder |
CreateModelRequest.builder() |
CreateModelRequest.Builder |
CreateModelRequest.Builder.clientToken(String clientToken)
A unique identifier for the request.
|
default CreateModelRequest.Builder |
CreateModelRequest.Builder.dataPreProcessingConfiguration(Consumer<DataPreProcessingConfiguration.Builder> dataPreProcessingConfiguration)
The configuration is the
TargetSamplingRate, which is the sampling rate of the data after post
processing by Amazon Lookout for Equipment. |
CreateModelRequest.Builder |
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. |
CreateModelRequest.Builder |
CreateModelRequest.Builder.datasetName(String datasetName)
The name of the dataset for the ML model being created.
|
default CreateModelRequest.Builder |
CreateModelRequest.Builder.datasetSchema(Consumer<DatasetSchema.Builder> datasetSchema)
The data schema for the ML model being created.
|
CreateModelRequest.Builder |
CreateModelRequest.Builder.datasetSchema(DatasetSchema datasetSchema)
The data schema for the ML model being created.
|
CreateModelRequest.Builder |
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
ML model.
|
CreateModelRequest.Builder |
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 ML model.
|
default CreateModelRequest.Builder |
CreateModelRequest.Builder.labelsInputConfiguration(Consumer<LabelsInputConfiguration.Builder> labelsInputConfiguration)
The input configuration for the labels being used for the ML model that's being created.
|
CreateModelRequest.Builder |
CreateModelRequest.Builder.labelsInputConfiguration(LabelsInputConfiguration labelsInputConfiguration)
The input configuration for the labels being used for the ML model that's being created.
|
CreateModelRequest.Builder |
CreateModelRequest.Builder.modelName(String modelName)
The name for the ML model to be created.
|
CreateModelRequest.Builder |
CreateModelRequest.Builder.offCondition(String offCondition)
Indicates that the asset associated with this sensor has been shut off.
|
CreateModelRequest.Builder |
CreateModelRequest.Builder.overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration) |
CreateModelRequest.Builder |
CreateModelRequest.Builder.overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer) |
CreateModelRequest.Builder |
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
ML model.
|
CreateModelRequest.Builder |
CreateModelRequest.Builder.serverSideKmsKeyId(String serverSideKmsKeyId)
Provides the identifier of the KMS key used to encrypt model data by Amazon Lookout for Equipment.
|
CreateModelRequest.Builder |
CreateModelRequest.Builder.tags(Collection<Tag> tags)
Any tags associated with the ML model being created.
|
CreateModelRequest.Builder |
CreateModelRequest.Builder.tags(Consumer<Tag.Builder>... tags)
Any tags associated with the ML model being created.
|
CreateModelRequest.Builder |
CreateModelRequest.Builder.tags(Tag... tags)
Any tags associated with the ML model being created.
|
CreateModelRequest.Builder |
CreateModelRequest.toBuilder() |
CreateModelRequest.Builder |
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 ML
model.
|
CreateModelRequest.Builder |
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
ML model.
|
| Modifier and Type | Method and Description |
|---|---|
static Class<? extends CreateModelRequest.Builder> |
CreateModelRequest.serializableBuilderClass() |
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