Package: sagemaker.mlcore 0.3.0

sagemaker.mlcore: sagemaker machine learning core classes and methods

`sagemaker` machine learning core classes and methods.

Authors:Dyfan Jones [aut, cre], Amazon.com, Inc. [cph]

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sagemaker.mlcore.pdf |sagemaker.mlcore.html
sagemaker.mlcore/json (API)
NEWS

# Install sagemaker.mlcore in R:
install.packages('sagemaker.mlcore', repos = c('https://dyfanjones.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/dyfanjones/sagemaker-r-mlcore/issues

On CRAN:

amazon-sagemakerawsmachine-learningsagemakersdk

73 exports 1.00 score 42 dependencies 3 dependents

Last updated 2 years agofrom:bee50eefe641d4699c47e862ca75870f6f899069

Exports:AlgorithmEstimatorAmazonAlgorithmEstimatorBaseBaseDeserializerBaseliningJobBaseSerializerBiasAnalysisConfigBytesDeserializerCategoricalParameterClarifyBaseliningConfigClarifyBaseliningJobClarifyModelMonitorClarifyMonitoringExecutionConstraintsConstraintViolationsContinuousParametercreate_identical_dataset_and_algorithm_tunercreate_transfer_learning_tunerCronExpressionGeneratorCSVDeserializerCSVSerializerDataCaptureConfigDatasetFormatDataTableDeserializerDataTypesDefaultModelMonitorEndpointInputEndpointOutputEstimatorEstimatorBaseExplainabilityAnalysisConfigFileSourceFileSystemRecordSetFrameworkFrameworkModelHyperparameterHyperparameterTunerIdentitySerializerIntegerParameterJSONDeserializerJSONLinesDeserializerJSONLinesSerializerJSONSerializerLibSVMSerializerMetricsSourceModelmodel_parametersModelBaseModelBiasMonitorModelExplainabilityMonitorModelMetricsModelMonitorModelPackageModelQualityMonitorMonitoringExecutionMultiDataModelNumpyDeserializerNumpySerializerParameterRangePipelineModelPredictorPredictorBaseRecordDeserializerRecordSerializerRecordSetSimpleBaseDeserializerSimpleBaseSerializerSparseMatrixSerializerStatisticsStringDeserializerTibbleDeserializerTrainingCompilerConfigValidationWarmStartConfig

Dependencies:askpassbase64encclicurldata.tabledigestfshttrjsonlitelgrlistenvmimeopensslpawspaws.analyticspaws.application.integrationpaws.commonpaws.computepaws.cost.managementpaws.customer.engagementpaws.databasepaws.developer.toolspaws.end.user.computingpaws.machine.learningpaws.managementpaws.networkingpaws.security.identitypaws.storageprocessxpsR6Rcpprlangsagemaker.commonsagemaker.coresagemaker.debuggersystriebeardurltoolsuuidxml2zip

Readme and manuals

Help Manual

Help pageTopics
r6 sagemaker: this is just a placeholdersagemaker.mlcore-package sagemaker.mlcore
AlgorithmEstimator ClassAlgorithmEstimator
AmazonAlgorithmEstimatorBase ClassAmazonAlgorithmEstimatorBase
Default BaseDeserializer ClassBaseDeserializer
Baselining Job ClassBaseliningJob
Default BaseSerializer ClassBaseSerializer
BiasAnalysisConfig classBiasAnalysisConfig
BytesDerializer ClassBytesDeserializer
CategoricalParameter ClassCategoricalParameter
ClarifyBaseliningConfig classClarifyBaseliningConfig
ClarifyBaseliningJob classClarifyBaseliningJob
Base class of Amazon SageMaker Explainability API model monitors.ClarifyModelMonitor
ClarifyMonitoringExecution classClarifyMonitoringExecution
Constraints ClassConstraints
ConstraintViolationsConstraintViolations
ContinuousParameter ClassContinuousParameter
Creates a new tuner with an identical dataset and algorithm.create_identical_dataset_and_algorithm_tuner
Creates a new ``HyperParameterTuner`` instance from the parent.create_transfer_learning_tuner
CronExpressionGenerator classCronExpressionGenerator
Deserialize a stream of bytes into a list of lists.CSVDeserializer
CSVSerializer ClassCSVSerializer
DataCaptureConfig ClassDataCaptureConfig
DatasetFormat ClassDatasetFormat
DataTableDeserializer ClassDataTableDeserializer
DefaultModelMonitor ClassDefaultModelMonitor
Accepts parameters that specify an endpoint input for monitoring execution.EndpointInput
Accepts parameters that specify an S3 output for a monitoring job.EndpointOutput
Sagemaker Estimator ClassEstimator
Handle end-to-end Amazon SageMaker training and deployment tasks.EstimatorBase
ExplainabilityAnalysisConfig classExplainabilityAnalysisConfig
FileSourceFileSource
FileSystemRecordSet ClassFileSystemRecordSet
FrameWork ClassFramework
A Model for working with an SageMaker ``Framework``.FrameworkModel
Hyperparameter ClassHyperparameter
HyperparamerTunerHyperparameterTuner
Serialize data by returning data without modification.IdentitySerializer
IntegerParameter ClassIntegerParameter
JSONDeserializer ClassJSONDeserializer
JSONDeserializer ClassJSONLinesDeserializer
JSONLinesSerializer ClassJSONLinesSerializer
JSONSerializer ClassJSONSerializer
LibSVMSerializer ClassLibSVMSerializer
MetricsSource classMetricsSource
Model ClassModel
Amazon SageMaker model monitor to monitor bias metrics of an endpoint.ModelBiasMonitor
Amazon SageMaker model monitor to monitor feature attribution of an endpoint.ModelExplainabilityMonitor
ModelMetrics classModelMetrics
Sets up Amazon SageMaker Monitoring Schedules and baseline suggestions.ModelMonitor
ModelMonitoringFile ClassModelMonitoringFile
ModelPackage classModelPackage
Amazon SageMaker model monitor to monitor quality metrics for an endpoint.ModelQualityMonitor
MonitoringExecution ClassMonitoringExecution
MultiDataModel ClassMultiDataModel
NumpySerializer ClassNumpyDeserializer
NumpySerializer ClassNumpySerializer
ParameterRange ClassParameterRange
A pipeline of SageMaker `Model` instances.PipelineModel
S3 method that wraps Predictor Classpredict.Predictor
Predictor ClassPredictor
RecordDeserializer ClassRecordDeserializer
RecordSerializer ClassRecordSerializer
RecordSet ClassRecordSet
Abstract base class for creation of new deserializers.SimpleBaseDeserializer
Abstract base class for creation of new serializers.SimpleBaseSerializer
SparseMatrixSerializer ClassSparseMatrixSerializer
Statistics ClassStatistics
StringBaseDeserializer ClassStringDeserializer
TibbleDeserializer ClassTibbleDeserializer
The configuration class for accelerating SageMaker training jobs through compilation.TrainingCompilerConfig
WarmStartConfig ClassWarmStartConfig
WarmStartTypes ClassWarmStartTypes