Package: sagemaker 1.0.9000
sagemaker: R SDK for `AWS Sagemaker`
A library for training and deploying machine learning models on Amazon SageMaker <https://aws.amazon.com/sagemaker/> using R through `paws SDK`.
Authors:
sagemaker_1.0.9000.tar.gz
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sagemaker_1.0.9000.tgz(r-4.4-any)sagemaker_1.0.9000.tgz(r-4.3-any)
sagemaker_1.0.9000.tar.gz(r-4.5-noble)sagemaker_1.0.9000.tar.gz(r-4.4-noble)
sagemaker_1.0.9000.tgz(r-4.4-emscripten)sagemaker_1.0.9000.tgz(r-4.3-emscripten)
sagemaker.pdf |sagemaker.html✨
sagemaker/json (API)
# Install 'sagemaker' in R: |
install.packages('sagemaker', repos = c('https://dyfanjones.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dyfanjones/sagemaker-r-sdk/issues
amazon-sagemakerawsmachine-learningsagemakersdk
Last updated 3 years agofrom:6b5a608b87. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 16 2024 |
R-4.5-win | NOTE | Nov 16 2024 |
R-4.5-linux | NOTE | Nov 16 2024 |
R-4.4-win | NOTE | Nov 16 2024 |
R-4.4-mac | NOTE | Nov 16 2024 |
R-4.3-win | NOTE | Nov 16 2024 |
R-4.3-mac | NOTE | Nov 16 2024 |
Exports:AlgorithmEstimatorAnalyticsMetricsBaseAutoMLAutoMLInputAutoMLJobBaseliningJobBaseSerializerBiasAnalysisConfigBiasConfigBytesDeserializerCandidateEstimatorCandidateStepCategoricalParameterChainerChainerModelChainerPredictorClarifyBaseliningConfigClarifyBaseliningJobClarifyModelMonitorClarifyMonitoringExecutionConstraintsConstraintViolationscontainer_defContinuousParameterCronExpressionGeneratorCSVDeserializerCSVSerializerDataCaptureConfigDataConfigDataloaderProfilingConfigDatasetFormatDataTableDeserializerDefaultModelMonitorDetailedProfilingConfigEndpointInputEndpointOutputEstimatorExperimentAnalyticsExplainabilityAnalysisConfigExplainabilityConfigFactorizationMachinesFactorizationMachinesModelFactorizationMachinesPredictorFileSystemInputFrameworkFrameworkModelFrameworkProfileget_execution_roleHorovodProfilingConfigHuggingFaceHyperparameterTunerHyperparameterTuningJobAnalyticsIdentitySerializerImageUrisIntegerParameterIPInsightsIPInsightsModelIPInsightsPredictorJSONDeserializerJSONLinesDeserializerJSONLinesSerializerJSONSerializerKMeansKMeansModelKMeansPredictorKNNKNNModelKNNPredictorLDALDAModelLDAPredictorLibSVMSerializerLinearLearnerLinearLearnerModelLinearLearnerPredictorLocalSessionMetricsConfigBaseMetricsSourceModelModelBiasMonitorModelConfigModelExplainabilityMonitorModelMetricsModelMonitorModelPackageModelPredictedLabelConfigModelQualityMonitorMonitoringExecutionMultiDataModelMXNetMXNetModelMXNetPredictorNetworkConfigNTMNTMModelNTMPredictorNumpyDeserializerNumpySerializerObject2VecObject2VecModelParameterRangePawsSessionPCAPCAModelPCAPredictorpipeline_container_defPipelineModelPredictorproduction_variantProfilerConfigPySparkProcessorPythonProfilingConfigPyTorchPyTorchModelPyTorchPredictorRandomCutForestRandomCutForestModelRandomCutForestPredictorRecordDeserializerRecordSerializerRLEstimatorRLFrameworkRLToolkits3_path_joinS3DownloaderS3UploaderSageMakerClarifyProcessorSessionSHAPConfigShuffleConfigSimpleBaseDeserializerSimpleBaseSerializerSKLearnSKLearnModelSKLearnPredictorSKLearnProcessorSMDataParallelProfilingConfigSparkJarProcessorSparkMLModelSparkMLPredictorStatisticsStepRangeStringDeserializerTensorFlowTensorFlowModelTensorFlowPredictorTibbleDeserializerTimeRangeTrainingInputTrainingJobAnalyticsTransformerWarmStartConfigXGBoostXGBoostModelXGBoostPredictor
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.debuggersagemaker.mlcoresagemaker.mlframeworksagemaker.workflowsystriebeardurltoolsuuidxml2zip
Readme and manuals
Help Manual
Help page | Topics |
---|---|
r6 sagemaker: this is just a placeholder | sagemaker-package sagemaker |