sagemaker
v2.59.0
Using the SageMaker Python SDK
Use Version 2.x of the SageMaker Python SDK
APIs
Frameworks
First-Party Algorithms
Workflows
Amazon SageMaker Debugger
Amazon SageMaker Feature Store
Amazon SageMaker Model Monitor
Amazon SageMaker Processing
sagemaker
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_
_PipelineExecution (class in sagemaker.workflow.pipeline)
A
accelerator_type (sagemaker.inputs.CreateModelInput attribute)
ACCEPT() (sagemaker.deserializers.BaseDeserializer property)
(sagemaker.deserializers.SimpleBaseDeserializer property)
accept() (sagemaker.predictor.Predictor property)
(sagemaker.serverless.predictor.LambdaPredictor property)
account_id() (sagemaker.session.Session method)
accuracy_top_k (sagemaker.LinearLearner attribute)
add_model() (sagemaker.multidatamodel.MultiDataModel method)
AlgorithmEstimator (class in sagemaker.algorithm)
AmazonAlgorithmEstimatorBase (class in sagemaker.amazon.amazon_estimator)
analytics() (sagemaker.tuner.HyperparameterTuner method)
AnalyticsMetricsBase (class in sagemaker.analytics)
API_MAPPING (sagemaker.model_monitor.data_capture_config.DataCaptureConfig attribute)
arn (sagemaker.workflow.pipeline._PipelineExecution attribute)
as_dataframe() (sagemaker.feature_store.feature_group.AthenaQuery method)
as_hive_ddl() (sagemaker.feature_store.feature_group.FeatureGroup method)
as_json_range() (sagemaker.parameter.CategoricalParameter method)
(sagemaker.tuner.CategoricalParameter method)
as_tuning_range() (sagemaker.parameter.CategoricalParameter method)
(sagemaker.parameter.ParameterRange method)
(sagemaker.tuner.CategoricalParameter method)
athena_dataset_definition (sagemaker.dataset_definition.inputs.DatasetDefinition attribute)
athena_query() (sagemaker.feature_store.feature_group.FeatureGroup method)
AthenaDatasetDefinition (class in sagemaker.dataset_definition.inputs)
AthenaQuery (class in sagemaker.feature_store.feature_group)
attach() (sagemaker.automl.automl.AutoML class method)
(sagemaker.estimator.Estimator class method)
(sagemaker.estimator.EstimatorBase class method)
(sagemaker.estimator.Framework class method)
(sagemaker.FactorizationMachines class method)
(sagemaker.IPInsights class method)
(sagemaker.KMeans class method)
(sagemaker.KNN class method)
(sagemaker.LDA class method)
(sagemaker.LinearLearner class method)
(sagemaker.model_monitor.clarify_model_monitoring.ModelBiasMonitor class method)
(sagemaker.model_monitor.clarify_model_monitoring.ModelExplainabilityMonitor class method)
(sagemaker.model_monitor.model_monitoring.DefaultModelMonitor class method)
(sagemaker.model_monitor.model_monitoring.ModelMonitor class method)
(sagemaker.model_monitor.model_monitoring.ModelQualityMonitor class method)
(sagemaker.NTM class method)
(sagemaker.Object2Vec class method)
(sagemaker.PCA class method)
(sagemaker.RandomCutForest class method)
(sagemaker.transformer.Transformer class method)
(sagemaker.tuner.HyperparameterTuner class method)
(sagemaker.xgboost.estimator.XGBoost class method)
auto_ml() (sagemaker.session.Session method)
AutoML (class in sagemaker.automl.automl)
AutoMLInput (class in sagemaker.automl.automl)
AutoMLJob (class in sagemaker.automl.automl)
B
balance_multiclass_weights (sagemaker.LinearLearner attribute)
BaseDeserializer (class in sagemaker.deserializers)
baseline_statistics() (sagemaker.model_monitor.clarify_model_monitoring.ClarifyBaseliningJob method)
(sagemaker.model_monitor.model_monitoring.BaseliningJob method)
(sagemaker.model_monitor.model_monitoring.ModelMonitor method)
BaseliningJob (class in sagemaker.model_monitor.model_monitoring)
BaseSerializer (class in sagemaker.serializers)
best_candidate() (sagemaker.automl.automl.AutoML method)
best_estimator() (sagemaker.tuner.HyperparameterTuner method)
best_training_job() (sagemaker.tuner.HyperparameterTuner method)
BiasAnalysisConfig (class in sagemaker.model_monitor.clarify_model_monitoring)
BiasConfig (class in sagemaker.clarify)
boto_region_name() (sagemaker.session.Session property)
built-in function
register_post_partition_hook()
smdistributed.dataparallel.tensorflow.allreduce()
smdistributed.dataparallel.tensorflow.broadcast()
smdistributed.dataparallel.tensorflow.broadcast_global_variables()
smdistributed.dataparallel.tensorflow.broadcast_variables()
smdistributed.dataparallel.tensorflow.BroadcastGlobalVariablesHook()
smdistributed.dataparallel.tensorflow.Compression()
smdistributed.dataparallel.tensorflow.DistributedGradientTape()
smdistributed.dataparallel.tensorflow.DistributedOptimizer()
smdistributed.dataparallel.tensorflow.init()
smdistributed.dataparallel.tensorflow.local_rank()
smdistributed.dataparallel.tensorflow.local_size()
smdistributed.dataparallel.tensorflow.oob_allreduce()
smdistributed.dataparallel.tensorflow.overlap()
smdistributed.dataparallel.tensorflow.rank()
smdistributed.dataparallel.tensorflow.ReduceOp()
smdistributed.dataparallel.tensorflow.shutdown()
smdistributed.dataparallel.tensorflow.size()
smdistributed.dataparallel.torch.distributed.all_gather()
smdistributed.dataparallel.torch.distributed.all_reduce()
smdistributed.dataparallel.torch.distributed.all_to_all_single()
smdistributed.dataparallel.torch.distributed.barrier()
smdistributed.dataparallel.torch.distributed.broadcast()
smdistributed.dataparallel.torch.distributed.get_local_rank()
smdistributed.dataparallel.torch.distributed.get_rank()
smdistributed.dataparallel.torch.distributed.get_world_size()
smdistributed.dataparallel.torch.distributed.init_process_group()
smdistributed.dataparallel.torch.distributed.is_available()
smdistributed.dataparallel.torch.distributed.is_initialized()
smp.allgather()
smp.barrier()
smp.broadcast()
smp.CheckpointManager.restore()
smp.CheckpointManager.save()
smp.DistributedModel.backward()
smp.DistributedModel.cpu()
smp.DistributedModel.join()
smp.DistributedModel.load_state_dict()
smp.DistributedModel.local_buffers()
smp.DistributedModel.local_modules()
smp.DistributedModel.local_named_buffers()
smp.DistributedModel.local_named_modules()
smp.DistributedModel.local_named_parameters()
smp.DistributedModel.local_parameters()
smp.DistributedModel.local_state_dict()
smp.DistributedModel.register_comm_hook()
smp.DistributedModel.register_post_partition_hook()
smp.DistributedModel.save_model()
smp.DistributedModel.state_dict()
smp.DistributedOptimizer.load_state_dict()
smp.DistributedOptimizer.local_state_dict()
smp.DistributedOptimizer.state_dict()
smp.dp_barrier()
smp.get_dp_process_group()
smp.get_mp_process_group()
smp.get_world_process_group()
smp.init()
smp.is_initialized()
smp.load()
smp.mp_barrier()
smp.partition()
smp.recv_from()
smp.save()
smp.send()
StepOutput.accumulate()
StepOutput.concat()
StepOutput.merge()
StepOutput.reduce_mean()
StepOutput.reduce_sum()
StepOutput.stack()
BytesDeserializer (class in sagemaker.deserializers)
C
CacheConfig (class in sagemaker.workflow.steps)
CallbackStep (class in sagemaker.workflow.callback_step)
CandidateEstimator (class in sagemaker.automl.candidate_estimator)
CandidateStep (class in sagemaker.automl.candidate_estimator)
cast_to_type() (sagemaker.parameter.CategoricalParameter class method)
(sagemaker.parameter.ContinuousParameter class method)
(sagemaker.parameter.IntegerParameter class method)
(sagemaker.parameter.ParameterRange class method)
(sagemaker.tuner.CategoricalParameter class method)
(sagemaker.tuner.ContinuousParameter class method)
(sagemaker.tuner.IntegerParameter class method)
catalog (sagemaker.dataset_definition.inputs.AthenaDatasetDefinition attribute)
(sagemaker.feature_store.feature_group.AthenaQuery attribute)
(sagemaker.feature_store.inputs.DataCatalogConfig attribute)
CategoricalParameter (class in sagemaker.parameter)
(class in sagemaker.tuner)
Chainer (class in sagemaker.chainer.estimator)
ChainerModel (class in sagemaker.chainer.model)
ChainerPredictor (class in sagemaker.chainer.model)
ClarifyBaseliningConfig (class in sagemaker.model_monitor.clarify_model_monitoring)
ClarifyBaseliningJob (class in sagemaker.model_monitor.clarify_model_monitoring)
ClarifyModelMonitor (class in sagemaker.model_monitor.clarify_model_monitoring)
ClarifyMonitoringExecution (class in sagemaker.model_monitor.clarify_model_monitoring)
classify() (sagemaker.tensorflow.model.TensorFlowPredictor method)
clear_cache() (sagemaker.analytics.AnalyticsMetricsBase method)
(sagemaker.analytics.ExperimentAnalytics method)
(sagemaker.analytics.HyperparameterTuningJobAnalytics method)
(sagemaker.analytics.TrainingJobAnalytics method)
CLOUDWATCH_NAMESPACE (sagemaker.analytics.TrainingJobAnalytics attribute)
cluster_id (sagemaker.dataset_definition.inputs.RedshiftDatasetDefinition attribute)
cluster_role_arn (sagemaker.dataset_definition.inputs.RedshiftDatasetDefinition attribute)
COACH_LATEST_VERSION_MXNET (sagemaker.rl.estimator.RLEstimator attribute)
COACH_LATEST_VERSION_TF (sagemaker.rl.estimator.RLEstimator attribute)
CollectionConfig (class in sagemaker.debugger)
comparator_list (sagemaker.Object2Vec attribute)
compile() (sagemaker.model.Model method)
compile_model() (sagemaker.estimator.Estimator method)
(sagemaker.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.FactorizationMachines method)
(sagemaker.IPInsights method)
(sagemaker.KMeans method)
(sagemaker.KNN method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.NTM method)
(sagemaker.Object2Vec method)
(sagemaker.PCA method)
(sagemaker.RandomCutForest method)
(sagemaker.session.Session method)
COMPLETE (sagemaker.session.LogState attribute)
compression_type (sagemaker.inputs.TransformInput attribute)
Condition (class in sagemaker.workflow.conditions)
condition_type (sagemaker.workflow.conditions.Condition attribute)
ConditionComparison (class in sagemaker.workflow.conditions)
ConditionEquals (class in sagemaker.workflow.conditions)
ConditionGreaterThan (class in sagemaker.workflow.conditions)
ConditionGreaterThanOrEqualTo (class in sagemaker.workflow.conditions)
ConditionIn (class in sagemaker.workflow.conditions)
ConditionLessThan (class in sagemaker.workflow.conditions)
ConditionLessThanOrEqualTo (class in sagemaker.workflow.conditions)
ConditionNot (class in sagemaker.workflow.conditions)
ConditionOr (class in sagemaker.workflow.conditions)
conditions (sagemaker.workflow.conditions.ConditionOr attribute)
ConditionStep (class in sagemaker.workflow.condition_step)
ConditionTypeEnum (class in sagemaker.workflow.conditions)
Config (class in sagemaker.feature_store.inputs)
config (sagemaker.inputs.FileSystemInput attribute)
(sagemaker.inputs.TrainingInput attribute)
config_for_framework() (in module sagemaker.image_uris)
constraint_violations() (sagemaker.model_monitor.model_monitoring.MonitoringExecution method)
Constraints (class in sagemaker.model_monitor.monitoring_files)
ConstraintViolations (class in sagemaker.model_monitor.monitoring_files)
construct_dict() (sagemaker.feature_store.inputs.Config class method)
CONTAINER_CODE_CHANNEL_SOURCEDIR_PATH (sagemaker.estimator.Framework attribute)
container_def() (in module sagemaker.session)
container_local_output_path (sagemaker.debugger.RuleBase attribute)
content_type (sagemaker.inputs.TransformInput attribute)
content_type() (sagemaker.predictor.Predictor property)
CONTENT_TYPE() (sagemaker.serializers.BaseSerializer property)
(sagemaker.serializers.SimpleBaseSerializer property)
content_type() (sagemaker.serverless.predictor.LambdaPredictor property)
ContinuousParameter (class in sagemaker.parameter)
(class in sagemaker.tuner)
CPROFILE (sagemaker.debugger.PythonProfiler attribute)
cProfileTimer (class in sagemaker.debugger)
CPU_TIME (sagemaker.debugger.cProfileTimer attribute)
create() (sagemaker.feature_store.feature_group.FeatureGroup method)
(sagemaker.lambda_helper.Lambda method)
(sagemaker.tuner.HyperparameterTuner class method)
(sagemaker.workflow.pipeline.Pipeline method)
create_endpoint() (sagemaker.session.Session method)
create_endpoint_config() (sagemaker.session.Session method)
create_endpoint_config_from_existing() (sagemaker.session.Session method)
create_feature_group() (sagemaker.session.Session method)
create_model() (sagemaker.algorithm.AlgorithmEstimator method)
(sagemaker.automl.automl.AutoML method)
(sagemaker.chainer.estimator.Chainer method)
(sagemaker.estimator.Estimator method)
(sagemaker.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.FactorizationMachines method)
(sagemaker.huggingface.estimator.HuggingFace method)
(sagemaker.IPInsights method)
(sagemaker.KMeans method)
(sagemaker.KNN method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.mxnet.estimator.MXNet method)
(sagemaker.NTM method)
(sagemaker.Object2Vec method)
(sagemaker.PCA method)
(sagemaker.pytorch.estimator.PyTorch method)
(sagemaker.RandomCutForest method)
(sagemaker.rl.estimator.RLEstimator method)
(sagemaker.session.Session method)
(sagemaker.sklearn.estimator.SKLearn method)
(sagemaker.tensorflow.estimator.TensorFlow method)
(sagemaker.xgboost.estimator.XGBoost method)
create_model_from_job() (sagemaker.session.Session method)
create_model_package_from_algorithm() (sagemaker.session.Session method)
create_model_package_from_containers() (sagemaker.session.Session method)
create_monitoring_schedule() (sagemaker.model_monitor.clarify_model_monitoring.ModelBiasMonitor method)
(sagemaker.model_monitor.clarify_model_monitoring.ModelExplainabilityMonitor method)
(sagemaker.model_monitor.model_monitoring.DefaultModelMonitor method)
(sagemaker.model_monitor.model_monitoring.ModelMonitor method)
(sagemaker.model_monitor.model_monitoring.ModelQualityMonitor method)
(sagemaker.session.Session method)
create_tuning_job() (sagemaker.session.Session method)
CreateModelInput (class in sagemaker.inputs)
CreateModelStep (class in sagemaker.workflow.steps)
CronExpressionGenerator (class in sagemaker.model_monitor.cron_expression_generator)
csv() (sagemaker.model_monitor.dataset_format.DatasetFormat static method)
CSVDeserializer (class in sagemaker.deserializers)
CSVSerializer (class in sagemaker.serializers)
custom() (sagemaker.debugger.ProfilerRule class method)
(sagemaker.debugger.Rule class method)
D
daily() (sagemaker.model_monitor.cron_expression_generator.CronExpressionGenerator static method)
daily_every_x_hours() (sagemaker.model_monitor.cron_expression_generator.CronExpressionGenerator static method)
data (sagemaker.inputs.TransformInput attribute)
data_catalog_config (sagemaker.feature_store.inputs.OfflineStoreConfig attribute)
data_distribution_type (sagemaker.dataset_definition.inputs.DatasetDefinition attribute)
data_frame (sagemaker.feature_store.feature_group.IngestionManagerPandas attribute)
data_location() (sagemaker.amazon.amazon_estimator.AmazonAlgorithmEstimatorBase property)
(sagemaker.FactorizationMachines property)
(sagemaker.IPInsights property)
(sagemaker.KMeans property)
(sagemaker.KNN property)
(sagemaker.LDA property)
(sagemaker.LinearLearner property)
(sagemaker.NTM property)
(sagemaker.Object2Vec property)
(sagemaker.PCA property)
(sagemaker.RandomCutForest property)
data_type (sagemaker.inputs.TransformInput attribute)
database (sagemaker.dataset_definition.inputs.AthenaDatasetDefinition attribute)
(sagemaker.dataset_definition.inputs.RedshiftDatasetDefinition attribute)
(sagemaker.feature_store.feature_group.AthenaQuery attribute)
(sagemaker.feature_store.inputs.DataCatalogConfig attribute)
DataCaptureConfig (class in sagemaker.model_monitor.data_capture_config)
DataCatalogConfig (class in sagemaker.feature_store.inputs)
DataConfig (class in sagemaker.clarify)
dataframe() (sagemaker.analytics.AnalyticsMetricsBase method)
DataloaderProfilingConfig (class in sagemaker.debugger)
DatasetDefinition (class in sagemaker.dataset_definition.inputs)
DatasetFormat (class in sagemaker.model_monitor.dataset_format)
db_user (sagemaker.dataset_definition.inputs.RedshiftDatasetDefinition attribute)
DebuggerHookConfig (class in sagemaker.debugger)
default_bucket() (sagemaker.session.Session method)
DEFAULT_ESTIMATOR_CLS_NAME (sagemaker.tuner.HyperparameterTuner attribute)
DEFAULT_ESTIMATOR_MODULE (sagemaker.tuner.HyperparameterTuner attribute)
default_metric_definitions() (sagemaker.rl.estimator.RLEstimator class method)
DEFAULT_MINI_BATCH_SIZE (sagemaker.LinearLearner attribute)
(sagemaker.PCA attribute)
default_value (sagemaker.workflow.parameters.Parameter attribute)
DefaultEnumMeta (class in sagemaker.workflow.entities)
DefaultModelMonitor (class in sagemaker.model_monitor.model_monitoring)
definition() (sagemaker.workflow.pipeline.Pipeline method)
delete() (sagemaker.feature_store.feature_group.FeatureGroup method)
(sagemaker.lambda_helper.Lambda method)
(sagemaker.workflow.pipeline.Pipeline method)
delete_endpoint() (sagemaker.estimator.Estimator method)
(sagemaker.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.FactorizationMachines method)
(sagemaker.IPInsights method)
(sagemaker.KMeans method)
(sagemaker.KNN method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.NTM method)
(sagemaker.Object2Vec method)
(sagemaker.PCA method)
(sagemaker.predictor.Predictor method)
(sagemaker.RandomCutForest method)
(sagemaker.session.Session method)
(sagemaker.tuner.HyperparameterTuner method)
delete_endpoint_config() (sagemaker.session.Session method)
delete_feature_group() (sagemaker.session.Session method)
delete_model() (sagemaker.model.Model method)
(sagemaker.pipeline.PipelineModel method)
(sagemaker.predictor.Predictor method)
(sagemaker.serverless.model.LambdaModel method)
(sagemaker.session.Session method)
(sagemaker.transformer.Transformer method)
delete_monitoring_schedule() (sagemaker.model_monitor.clarify_model_monitoring.ModelBiasMonitor method)
(sagemaker.model_monitor.clarify_model_monitoring.ModelExplainabilityMonitor method)
(sagemaker.model_monitor.model_monitoring.DefaultModelMonitor method)
(sagemaker.model_monitor.model_monitoring.ModelMonitor method)
(sagemaker.model_monitor.model_monitoring.ModelQualityMonitor method)
(sagemaker.session.Session method)
delete_predictor() (sagemaker.predictor.Predictor method)
(sagemaker.serverless.predictor.LambdaPredictor method)
depends_on (sagemaker.workflow.steps.Step attribute)
deploy() (sagemaker.automl.automl.AutoML method)
(sagemaker.estimator.Estimator method)
(sagemaker.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.FactorizationMachines method)
(sagemaker.IPInsights method)
(sagemaker.KMeans method)
(sagemaker.KNN method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.model.Model method)
(sagemaker.multidatamodel.MultiDataModel method)
(sagemaker.NTM method)
(sagemaker.Object2Vec method)
(sagemaker.PCA method)
(sagemaker.pipeline.PipelineModel method)
(sagemaker.RandomCutForest method)
(sagemaker.serverless.model.LambdaModel method)
(sagemaker.tensorflow.model.TensorFlowModel method)
(sagemaker.tuner.HyperparameterTuner method)
deploy_config() (in module sagemaker.workflow.airflow)
deploy_config_from_estimator() (in module sagemaker.workflow.airflow)
describe() (sagemaker.automl.automl.AutoMLJob method)
(sagemaker.feature_store.feature_group.FeatureGroup method)
(sagemaker.processing.ProcessingJob method)
(sagemaker.tuner.HyperparameterTuner method)
(sagemaker.workflow.pipeline._PipelineExecution method)
(sagemaker.workflow.pipeline.Pipeline method)
describe_auto_ml_job() (sagemaker.automl.automl.AutoML method)
(sagemaker.session.Session method)
describe_feature_group() (sagemaker.session.Session method)
describe_latest_baselining_job() (sagemaker.model_monitor.model_monitoring.ModelMonitor method)
describe_model() (sagemaker.session.Session method)
describe_monitoring_schedule() (sagemaker.session.Session method)
describe_processing_job() (sagemaker.session.Session method)
describe_schedule() (sagemaker.model_monitor.model_monitoring.ModelMonitor method)
describe_training_job() (sagemaker.session.Session method)
describe_transform_job() (sagemaker.session.Session method)
describe_tuning_job() (sagemaker.session.Session method)
description (sagemaker.workflow.steps.Step attribute)
description() (sagemaker.analytics.HyperparameterTuningJobAnalytics method)
(sagemaker.automl.candidate_estimator.CandidateStep property)
deserialize() (sagemaker.deserializers.BaseDeserializer method)
(sagemaker.deserializers.BytesDeserializer method)
(sagemaker.deserializers.CSVDeserializer method)
(sagemaker.deserializers.JSONDeserializer method)
(sagemaker.deserializers.JSONLinesDeserializer method)
(sagemaker.deserializers.NumpyDeserializer method)
(sagemaker.deserializers.PandasDeserializer method)
(sagemaker.deserializers.StreamDeserializer method)
(sagemaker.deserializers.StringDeserializer method)
DetailedProfilingConfig (class in sagemaker.debugger)
disable_data_capture() (sagemaker.predictor.Predictor method)
disable_glue_table_creation (sagemaker.feature_store.inputs.OfflineStoreConfig attribute)
disable_profiling() (sagemaker.estimator.Estimator method)
(sagemaker.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.FactorizationMachines method)
(sagemaker.IPInsights method)
(sagemaker.KMeans method)
(sagemaker.KNN method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.NTM method)
(sagemaker.Object2Vec method)
(sagemaker.PCA method)
(sagemaker.RandomCutForest method)
display_name (sagemaker.workflow.steps.Step attribute)
download() (sagemaker.s3.S3Downloader static method)
download_athena_query_result() (sagemaker.session.Session method)
download_data() (sagemaker.session.Session method)
E
early_stopping_patience (sagemaker.LinearLearner attribute)
early_stopping_tolerance (sagemaker.LinearLearner attribute)
enable_caching (sagemaker.workflow.steps.CacheConfig attribute)
enable_data_capture() (sagemaker.predictor.Predictor method)
enable_default_profiling() (sagemaker.estimator.Estimator method)
(sagemaker.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.FactorizationMachines method)
(sagemaker.IPInsights method)
(sagemaker.KMeans method)
(sagemaker.KNN method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.NTM method)
(sagemaker.Object2Vec method)
(sagemaker.PCA method)
(sagemaker.RandomCutForest method)
enable_network_isolation() (sagemaker.algorithm.AlgorithmEstimator method)
(sagemaker.estimator.Estimator method)
(sagemaker.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.FactorizationMachines method)
(sagemaker.IPInsights method)
(sagemaker.KMeans method)
(sagemaker.KNN method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.model.Model method)
(sagemaker.model.ModelPackage method)
(sagemaker.NTM method)
(sagemaker.Object2Vec method)
(sagemaker.PCA method)
(sagemaker.RandomCutForest method)
enable_online_store (sagemaker.feature_store.inputs.OnlineStoreConfig attribute)
endpoint() (sagemaker.predictor.Predictor property)
endpoint_context() (sagemaker.predictor.Predictor method)
endpoint_from_job() (sagemaker.session.Session method)
endpoint_from_model_data() (sagemaker.session.Session method)
endpoint_from_production_variants() (sagemaker.session.Session method)
EndpointInput (class in sagemaker.model_monitor.model_monitoring)
Entity (class in sagemaker.workflow.entities)
Estimator (class in sagemaker.estimator)
EstimatorBase (class in sagemaker.estimator)
EstimatorTransformer (class in sagemaker.workflow.step_collections)
eval_metrics (sagemaker.KMeans attribute)
ExecutionVariable (class in sagemaker.workflow.execution_variables)
ExecutionVariables (class in sagemaker.workflow.execution_variables)
expand_role() (sagemaker.session.Session method)
ExperimentAnalytics (class in sagemaker.analytics)
expire_after (sagemaker.workflow.steps.CacheConfig attribute)
ExplainabilityAnalysisConfig (class in sagemaker.model_monitor.clarify_model_monitoring)
ExplainabilityConfig (class in sagemaker.clarify)
export_csv() (sagemaker.analytics.AnalyticsMetricsBase method)
Expression (class in sagemaker.workflow.entities)
expression (sagemaker.workflow.conditions.ConditionNot attribute)
F
f_beta (sagemaker.LinearLearner attribute)
FactorizationMachines (class in sagemaker)
FactorizationMachinesModel (class in sagemaker)
FactorizationMachinesPredictor (class in sagemaker)
failed_rows() (sagemaker.feature_store.feature_group.IngestionManagerPandas property)
feature_definitions (sagemaker.feature_store.feature_group.FeatureGroup attribute)
feature_dim (sagemaker.amazon.amazon_estimator.AmazonAlgorithmEstimatorBase attribute)
feature_group_name (sagemaker.feature_store.feature_group.IngestionManagerPandas attribute)
(sagemaker.processing.FeatureStoreOutput attribute)
feature_name (sagemaker.feature_store.feature_definition.FeatureDefinition attribute)
(sagemaker.feature_store.feature_definition.FractionalFeatureDefinition attribute)
(sagemaker.feature_store.feature_definition.IntegralFeatureDefinition attribute)
(sagemaker.feature_store.feature_definition.StringFeatureDefinition attribute)
(sagemaker.feature_store.inputs.FeatureValue attribute)
feature_type (sagemaker.feature_store.feature_definition.FeatureDefinition attribute)
(sagemaker.feature_store.feature_definition.FractionalFeatureDefinition attribute)
(sagemaker.feature_store.feature_definition.IntegralFeatureDefinition attribute)
(sagemaker.feature_store.feature_definition.StringFeatureDefinition attribute)
FeatureDefinition (class in sagemaker.feature_store.feature_definition)
FeatureGroup (class in sagemaker.feature_store.feature_group)
FeatureStoreOutput (class in sagemaker.processing)
FeatureTypeEnum (class in sagemaker.feature_store.feature_definition)
FeatureValue (class in sagemaker.feature_store.inputs)
FILE (sagemaker.spark.processing.FileType attribute)
FileSystemInput (class in sagemaker.inputs)
FileType (class in sagemaker.spark.processing)
fit() (sagemaker.algorithm.AlgorithmEstimator method)
(sagemaker.amazon.amazon_estimator.AmazonAlgorithmEstimatorBase method)
(sagemaker.automl.automl.AutoML method)
(sagemaker.automl.candidate_estimator.CandidateEstimator method)
(sagemaker.estimator.Estimator method)
(sagemaker.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.FactorizationMachines method)
(sagemaker.IPInsights method)
(sagemaker.KMeans method)
(sagemaker.KNN method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.NTM method)
(sagemaker.Object2Vec method)
(sagemaker.PCA method)
(sagemaker.RandomCutForest method)
(sagemaker.tuner.HyperparameterTuner method)
FractionalFeatureDefinition (class in sagemaker.feature_store.feature_definition)
Framework (class in sagemaker.estimator)
framework_entrypoint_command (sagemaker.processing.FrameworkProcessor attribute)
FrameworkModel (class in sagemaker.model)
FrameworkProcessor (class in sagemaker.processing)
FrameworkProfile (class in sagemaker.debugger)
from_file_path() (sagemaker.model_monitor.monitoring_files.Constraints class method)
(sagemaker.model_monitor.monitoring_files.ConstraintViolations class method)
(sagemaker.model_monitor.monitoring_files.Statistics class method)
from_processing_arn() (sagemaker.model_monitor.model_monitoring.MonitoringExecution class method)
(sagemaker.processing.ProcessingJob class method)
from_processing_job() (sagemaker.model_monitor.model_monitoring.BaseliningJob class method)
from_processing_name() (sagemaker.processing.ProcessingJob class method)
from_s3_uri() (sagemaker.model_monitor.monitoring_files.Constraints class method)
(sagemaker.model_monitor.monitoring_files.ConstraintViolations class method)
(sagemaker.model_monitor.monitoring_files.Statistics class method)
from_string() (sagemaker.model_monitor.monitoring_files.Constraints class method)
(sagemaker.model_monitor.monitoring_files.ConstraintViolations class method)
(sagemaker.model_monitor.monitoring_files.Statistics class method)
function_name() (sagemaker.serverless.predictor.LambdaPredictor property)
G
get_caller_identity_arn() (sagemaker.session.Session method)
get_config() (sagemaker.clarify.BiasConfig method)
(sagemaker.clarify.DataConfig method)
get_create_model_package_request() (in module sagemaker.session)
get_default_profiler_rule (class in sagemaker.debugger)
get_execution_role() (in module sagemaker.session)
get_explainability_config() (sagemaker.clarify.ExplainabilityConfig method)
(sagemaker.clarify.SHAPConfig method)
get_model_package_args() (in module sagemaker.session)
get_predictor_config() (sagemaker.clarify.ModelConfig method)
(sagemaker.clarify.ModelPredictedLabelConfig method)
get_query_execution() (sagemaker.feature_store.feature_group.AthenaQuery method)
(sagemaker.session.Session method)
get_rule_container_image_uri (class in sagemaker.debugger)
get_run_args() (sagemaker.processing.FrameworkProcessor method)
(sagemaker.processing.ScriptProcessor method)
(sagemaker.spark.processing.PySparkProcessor method)
(sagemaker.spark.processing.SparkJarProcessor method)
get_steps() (sagemaker.automl.candidate_estimator.CandidateEstimator method)
get_vpc_config() (sagemaker.estimator.Estimator method)
(sagemaker.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.FactorizationMachines method)
(sagemaker.IPInsights method)
(sagemaker.KMeans method)
(sagemaker.KNN method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.NTM method)
(sagemaker.Object2Vec method)
(sagemaker.PCA method)
(sagemaker.RandomCutForest method)
H
hourly() (sagemaker.model_monitor.cron_expression_generator.CronExpressionGenerator static method)
huber_delta (sagemaker.LinearLearner attribute)
HuggingFace (class in sagemaker.huggingface.estimator)
HuggingFaceModel (class in sagemaker.huggingface.model)
HuggingFacePredictor (class in sagemaker.huggingface.model)
hyperparameter_ranges() (sagemaker.tuner.HyperparameterTuner method)
hyperparameter_ranges_dict() (sagemaker.tuner.HyperparameterTuner method)
hyperparameters() (sagemaker.algorithm.AlgorithmEstimator method)
(sagemaker.amazon.amazon_estimator.AmazonAlgorithmEstimatorBase method)
(sagemaker.chainer.estimator.Chainer method)
(sagemaker.estimator.Estimator method)
(sagemaker.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.FactorizationMachines method)
(sagemaker.huggingface.estimator.HuggingFace method)
(sagemaker.IPInsights method)
(sagemaker.KMeans method)
(sagemaker.KNN method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.NTM method)
(sagemaker.Object2Vec method)
(sagemaker.PCA method)
(sagemaker.pytorch.estimator.PyTorch method)
(sagemaker.RandomCutForest method)
(sagemaker.rl.estimator.RLEstimator method)
(sagemaker.tensorflow.estimator.TensorFlow method)
HyperparameterTuner (class in sagemaker.tuner)
HyperparameterTuningJobAnalytics (class in sagemaker.analytics)
I
identical_dataset_and_algorithm_tuner() (sagemaker.tuner.HyperparameterTuner method)
IdentitySerializer (class in sagemaker.serializers)
image_uri (sagemaker.debugger.RuleBase attribute)
ingest() (sagemaker.feature_store.feature_group.FeatureGroup method)
IngestionManagerPandas (class in sagemaker.feature_store.feature_group)
input_filter (sagemaker.inputs.TransformInput attribute)
input_mode (sagemaker.dataset_definition.inputs.DatasetDefinition attribute)
inputs() (sagemaker.automl.candidate_estimator.CandidateStep property)
instance_type (sagemaker.debugger.RuleBase attribute)
INSTANCE_TYPE (sagemaker.estimator.Framework attribute)
instance_type (sagemaker.inputs.CreateModelInput attribute)
IntegerParameter (class in sagemaker.parameter)
(class in sagemaker.tuner)
IntegralFeatureDefinition (class in sagemaker.feature_store.feature_definition)
invoke() (sagemaker.lambda_helper.Lambda method)
IPInsights (class in sagemaker)
IPInsightsModel (class in sagemaker)
IPInsightsPredictor (class in sagemaker)
is_valid() (sagemaker.parameter.CategoricalParameter method)
(sagemaker.parameter.ParameterRange method)
(sagemaker.tuner.CategoricalParameter method)
J
JAR (sagemaker.spark.processing.FileType attribute)
JOB_COMPLETE (sagemaker.session.LogState attribute)
JOB_DEFINITION_BASE_NAME (sagemaker.model_monitor.clarify_model_monitoring.ModelBiasMonitor attribute)
(sagemaker.model_monitor.clarify_model_monitoring.ModelExplainabilityMonitor attribute)
(sagemaker.model_monitor.model_monitoring.DefaultModelMonitor attribute)
(sagemaker.model_monitor.model_monitoring.ModelQualityMonitor attribute)
Join (class in sagemaker.workflow.functions)
join_source (sagemaker.inputs.TransformInput attribute)
json() (sagemaker.model_monitor.dataset_format.DatasetFormat static method)
json_path (sagemaker.workflow.functions.JsonGet attribute)
JSONDeserializer (class in sagemaker.deserializers)
JsonGet (class in sagemaker.workflow.functions)
JSONLinesDeserializer (class in sagemaker.deserializers)
JSONLinesSerializer (class in sagemaker.serializers)
JSONSerializer (class in sagemaker.serializers)
K
KMeans (class in sagemaker)
KMeansModel (class in sagemaker)
KMeansPredictor (class in sagemaker)
kms_key_id (sagemaker.dataset_definition.inputs.AthenaDatasetDefinition attribute)
(sagemaker.dataset_definition.inputs.RedshiftDatasetDefinition attribute)
(sagemaker.feature_store.inputs.OnlineStoreSecurityConfig attribute)
(sagemaker.feature_store.inputs.S3StorageConfig attribute)
KNN (class in sagemaker)
KNNModel (class in sagemaker)
KNNPredictor (class in sagemaker)
L
Lambda (class in sagemaker.lambda_helper)
LambdaModel (class in sagemaker.serverless.model)
LambdaPredictor (class in sagemaker.serverless.predictor)
LambdaStep (class in sagemaker.workflow.lambda_step)
LATEST_EIA_VERSION (sagemaker.tensorflow.model.TensorFlowModel attribute)
latest_job_debugger_artifacts_path() (sagemaker.estimator.Estimator method)
(sagemaker.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.FactorizationMachines method)
(sagemaker.IPInsights method)
(sagemaker.KMeans method)
(sagemaker.KNN method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.NTM method)
(sagemaker.Object2Vec method)
(sagemaker.PCA method)
(sagemaker.RandomCutForest method)
latest_job_profiler_artifacts_path() (sagemaker.estimator.Estimator method)
(sagemaker.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.FactorizationMachines method)
(sagemaker.IPInsights method)
(sagemaker.KMeans method)
(sagemaker.KNN method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.NTM method)
(sagemaker.Object2Vec method)
(sagemaker.PCA method)
(sagemaker.RandomCutForest method)
latest_job_tensorboard_artifacts_path() (sagemaker.estimator.Estimator method)
(sagemaker.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.FactorizationMachines method)
(sagemaker.IPInsights method)
(sagemaker.KMeans method)
(sagemaker.KNN method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.NTM method)
(sagemaker.Object2Vec method)
(sagemaker.PCA method)
(sagemaker.RandomCutForest method)
latest_monitoring_constraint_violations() (sagemaker.model_monitor.model_monitoring.DefaultModelMonitor method)
(sagemaker.model_monitor.model_monitoring.ModelMonitor method)
latest_monitoring_statistics() (sagemaker.model_monitor.clarify_model_monitoring.ClarifyModelMonitor method)
(sagemaker.model_monitor.model_monitoring.DefaultModelMonitor method)
(sagemaker.model_monitor.model_monitoring.ModelMonitor method)
LAUNCH_MPI_ENV_NAME (sagemaker.estimator.Framework attribute)
LAUNCH_PS_ENV_NAME (sagemaker.estimator.Framework attribute)
LAUNCH_SM_DDP_ENV_NAME (sagemaker.estimator.Framework attribute)
LDA (class in sagemaker)
LDAModel (class in sagemaker)
LDAPredictor (class in sagemaker)
left (sagemaker.workflow.conditions.ConditionComparison attribute)
LibSVMSerializer (class in sagemaker.serializers)
LinearLearner (class in sagemaker)
LinearLearnerModel (class in sagemaker)
LinearLearnerPredictor (class in sagemaker)
list() (sagemaker.s3.S3Downloader static method)
list_candidates() (sagemaker.automl.automl.AutoML method)
(sagemaker.session.Session method)
list_executions() (sagemaker.model_monitor.clarify_model_monitoring.ClarifyModelMonitor method)
(sagemaker.model_monitor.model_monitoring.ModelMonitor method)
list_models() (sagemaker.multidatamodel.MultiDataModel method)
list_monitoring_executions() (sagemaker.session.Session method)
list_monitoring_schedules() (sagemaker.session.Session method)
list_monitors() (sagemaker.predictor.Predictor method)
list_s3_files() (sagemaker.session.Session method)
list_steps() (sagemaker.workflow.pipeline._PipelineExecution method)
list_tags() (sagemaker.session.Session method)
local_path (sagemaker.dataset_definition.inputs.DatasetDefinition attribute)
(sagemaker.dataset_definition.inputs.S3Input attribute)
LOG_LEVEL_MAP (sagemaker.tensorflow.model.TensorFlowModel attribute)
LOG_LEVEL_PARAM_NAME (sagemaker.tensorflow.model.TensorFlowModel attribute)
logs() (sagemaker.estimator.Estimator method)
(sagemaker.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.FactorizationMachines method)
(sagemaker.IPInsights method)
(sagemaker.KMeans method)
(sagemaker.KNN method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.NTM method)
(sagemaker.Object2Vec method)
(sagemaker.PCA method)
(sagemaker.RandomCutForest method)
logs_for_auto_ml_job() (sagemaker.session.Session method)
logs_for_job() (sagemaker.session.Session method)
logs_for_processing_job() (sagemaker.session.Session method)
logs_for_transform_job() (sagemaker.session.Session method)
LogState (class in sagemaker.session)
loss_insensitivity (sagemaker.LinearLearner attribute)
M
margin (sagemaker.LinearLearner attribute)
max_processes (sagemaker.feature_store.feature_group.IngestionManagerPandas attribute)
MAX_TRIAL_COMPONENTS (sagemaker.analytics.ExperimentAnalytics attribute)
max_workers (sagemaker.feature_store.feature_group.IngestionManagerPandas attribute)
mini_batch_size (sagemaker.amazon.amazon_estimator.AmazonAlgorithmEstimatorBase attribute)
MINI_BATCH_SIZE (sagemaker.IPInsights attribute)
(sagemaker.Object2Vec attribute)
Model (class in sagemaker.model)
model_client_config (sagemaker.inputs.TransformInput attribute)
model_config() (in module sagemaker.workflow.airflow)
model_config_from_estimator() (in module sagemaker.workflow.airflow)
model_data() (sagemaker.estimator.Estimator property)
(sagemaker.estimator.EstimatorBase property)
(sagemaker.estimator.Framework property)
(sagemaker.FactorizationMachines property)
(sagemaker.IPInsights property)
(sagemaker.KMeans property)
(sagemaker.KNN property)
(sagemaker.LDA property)
(sagemaker.LinearLearner property)
(sagemaker.NTM property)
(sagemaker.Object2Vec property)
(sagemaker.PCA property)
(sagemaker.RandomCutForest property)
ModelBiasMonitor (class in sagemaker.model_monitor.clarify_model_monitoring)
ModelConfig (class in sagemaker.clarify)
ModelExplainabilityMonitor (class in sagemaker.model_monitor.clarify_model_monitoring)
ModelMonitor (class in sagemaker.model_monitor.model_monitoring)
ModelMonitoringFile (class in sagemaker.model_monitor.monitoring_files)
ModelPackage (class in sagemaker.model)
ModelPredictedLabelConfig (class in sagemaker.clarify)
ModelQualityMonitor (class in sagemaker.model_monitor.model_monitoring)
module
sagemaker.algorithm
sagemaker.automl.automl
sagemaker.automl.candidate_estimator
sagemaker.clarify
sagemaker.dataset_definition.inputs
sagemaker.debugger.metrics_config
sagemaker.deserializers
sagemaker.image_uris
sagemaker.inputs
sagemaker.lambda_helper
sagemaker.model_monitor.clarify_model_monitoring
sagemaker.model_monitor.cron_expression_generator
sagemaker.model_monitor.data_capture_config
sagemaker.model_monitor.dataset_format
sagemaker.model_monitor.model_monitoring
sagemaker.model_monitor.monitoring_files
sagemaker.multidatamodel
sagemaker.network
sagemaker.parameter
sagemaker.processing
sagemaker.s3
sagemaker.serializers
sagemaker.session
sagemaker.spark.processing
monitoring_type() (sagemaker.model_monitor.clarify_model_monitoring.ModelBiasMonitor class method)
(sagemaker.model_monitor.clarify_model_monitoring.ModelExplainabilityMonitor class method)
(sagemaker.model_monitor.model_monitoring.DefaultModelMonitor class method)
(sagemaker.model_monitor.model_monitoring.ModelMonitor class method)
(sagemaker.model_monitor.model_monitoring.ModelQualityMonitor class method)
MonitoringExecution (class in sagemaker.model_monitor.model_monitoring)
MonitoringOutput (class in sagemaker.model_monitor.model_monitoring)
MPI_CUSTOM_MPI_OPTIONS (sagemaker.estimator.Framework attribute)
MPI_NUM_PROCESSES_PER_HOST (sagemaker.estimator.Framework attribute)
MultiDataModel (class in sagemaker.multidatamodel)
MXNet (class in sagemaker.mxnet.estimator)
MXNetModel (class in sagemaker.mxnet.model)
MXNetPredictor (class in sagemaker.mxnet.model)
N
name (sagemaker.debugger.RuleBase attribute)
(sagemaker.feature_store.feature_group.FeatureGroup attribute)
(sagemaker.workflow.parameters.Parameter attribute)
(sagemaker.workflow.pipeline.Pipeline attribute)
(sagemaker.workflow.properties.PropertyFile attribute)
(sagemaker.workflow.steps.Step attribute)
name() (sagemaker.analytics.ExperimentAnalytics property)
(sagemaker.analytics.HyperparameterTuningJobAnalytics property)
(sagemaker.analytics.TrainingJobAnalytics property)
(sagemaker.automl.candidate_estimator.CandidateStep property)
negative_sampling_rate (sagemaker.Object2Vec attribute)
NetworkConfig (class in sagemaker.network)
normalize_data (sagemaker.LinearLearner attribute)
normalize_label (sagemaker.LinearLearner attribute)
NTM (class in sagemaker)
NTMModel (class in sagemaker)
NTMPredictor (class in sagemaker)
num_classes (sagemaker.LinearLearner attribute)
num_point_for_scaler (sagemaker.LinearLearner attribute)
NumpyDeserializer (class in sagemaker.deserializers)
NumpySerializer (class in sagemaker.serializers)
O
Object2Vec (class in sagemaker)
Object2VecModel (class in sagemaker)
OFF_CPU_TIME (sagemaker.debugger.cProfileTimer attribute)
OfflineStoreConfig (class in sagemaker.feature_store.inputs)
on_str (sagemaker.workflow.functions.Join attribute)
online_store_security_config (sagemaker.feature_store.inputs.OnlineStoreConfig attribute)
OnlineStoreConfig (class in sagemaker.feature_store.inputs)
OnlineStoreSecurityConfig (class in sagemaker.feature_store.inputs)
output_compression (sagemaker.dataset_definition.inputs.AthenaDatasetDefinition attribute)
(sagemaker.dataset_definition.inputs.RedshiftDatasetDefinition attribute)
output_filter (sagemaker.inputs.TransformInput attribute)
output_format (sagemaker.dataset_definition.inputs.AthenaDatasetDefinition attribute)
(sagemaker.dataset_definition.inputs.RedshiftDatasetDefinition attribute)
output_name (sagemaker.workflow.properties.PropertyFile attribute)
output_s3_uri (sagemaker.dataset_definition.inputs.AthenaDatasetDefinition attribute)
(sagemaker.dataset_definition.inputs.RedshiftDatasetDefinition attribute)
P
package_for_edge() (sagemaker.model.Model method)
package_model_for_edge() (sagemaker.session.Session method)
PandasDeserializer (class in sagemaker.deserializers)
Parameter (class in sagemaker.workflow.parameters)
parameter_type (sagemaker.workflow.parameters.Parameter attribute)
ParameterFloat (class in sagemaker.workflow.parameters)
ParameterInteger (class in sagemaker.workflow.parameters)
ParameterRange (class in sagemaker.parameter)
parameters (sagemaker.workflow.pipeline.Pipeline attribute)
ParameterString (class in sagemaker.workflow.parameters)
ParameterTypeEnum (class in sagemaker.workflow.parameters)
parse_s3_url() (in module sagemaker.s3)
path (sagemaker.workflow.properties.PropertyFile attribute)
PCA (class in sagemaker)
PCAModel (class in sagemaker)
PCAPredictor (class in sagemaker)
Pipeline (class in sagemaker.workflow.pipeline)
pipeline_container_def() (in module sagemaker.session)
(sagemaker.pipeline.PipelineModel method)
pipeline_experiment_config (sagemaker.workflow.pipeline.Pipeline attribute)
PipelineExperimentConfig (class in sagemaker.workflow.pipeline_experiment_config)
PipelineExperimentConfigProperty (class in sagemaker.workflow.pipeline_experiment_config)
PipelineModel (class in sagemaker.pipeline)
predict() (sagemaker.predictor.Predictor method)
(sagemaker.serverless.predictor.LambdaPredictor method)
(sagemaker.tensorflow.model.TensorFlowPredictor method)
Predictor (class in sagemaker.predictor)
prepare_actions() (sagemaker.debugger.Rule method)
prepare_app_specification() (sagemaker.processing.ProcessingJob static method)
prepare_container_def() (sagemaker.chainer.model.ChainerModel method)
(sagemaker.huggingface.model.HuggingFaceModel method)
(sagemaker.model.FrameworkModel method)
(sagemaker.model.Model method)
(sagemaker.multidatamodel.MultiDataModel method)
(sagemaker.mxnet.model.MXNetModel method)
(sagemaker.pytorch.model.PyTorchModel method)
(sagemaker.sklearn.model.SKLearnModel method)
(sagemaker.tensorflow.model.TensorFlowModel method)
(sagemaker.xgboost.model.XGBoostModel method)
prepare_output_config() (sagemaker.processing.ProcessingJob static method)
prepare_processing_resources() (sagemaker.processing.ProcessingJob static method)
prepare_stopping_condition() (sagemaker.processing.ProcessingJob static method)
prepare_workflow_for_training() (sagemaker.amazon.amazon_estimator.AmazonAlgorithmEstimatorBase method)
(sagemaker.estimator.Estimator method)
(sagemaker.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.FactorizationMachines method)
(sagemaker.IPInsights method)
(sagemaker.KMeans method)
(sagemaker.KNN method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.NTM method)
(sagemaker.Object2Vec method)
(sagemaker.PCA method)
(sagemaker.RandomCutForest method)
process() (sagemaker.session.Session method)
ProcessingInput (class in sagemaker.processing)
ProcessingJob (class in sagemaker.processing)
ProcessingOutput (class in sagemaker.processing)
ProcessingStep (class in sagemaker.workflow.steps)
Processor (class in sagemaker.processing)
production_variant() (in module sagemaker.session)
ProfilerConfig (class in sagemaker.debugger)
ProfilerRule (class in sagemaker.debugger)
Properties (class in sagemaker.workflow.properties)
PropertiesList (class in sagemaker.workflow.properties)
PropertiesMeta (class in sagemaker.workflow.properties)
property_file (sagemaker.workflow.functions.JsonGet attribute)
PropertyFile (class in sagemaker.workflow.properties)
put_record() (sagemaker.feature_store.feature_group.FeatureGroup method)
(sagemaker.session.Session method)
PYINSTRUMENT (sagemaker.debugger.PythonProfiler attribute)
PySparkProcessor (class in sagemaker.spark.processing)
PYTHON (sagemaker.spark.processing.FileType attribute)
PythonProfiler (class in sagemaker.debugger)
PythonProfilingConfig (class in sagemaker.debugger)
PyTorch (class in sagemaker.pytorch.estimator)
PyTorchModel (class in sagemaker.pytorch.model)
PyTorchPredictor (class in sagemaker.pytorch.model)
Q
quantile (sagemaker.LinearLearner attribute)
query_string (sagemaker.dataset_definition.inputs.AthenaDatasetDefinition attribute)
(sagemaker.dataset_definition.inputs.RedshiftDatasetDefinition attribute)
R
RandomCutForest (class in sagemaker)
RandomCutForestModel (class in sagemaker)
RandomCutForestPredictor (class in sagemaker)
RAY_LATEST_VERSION (sagemaker.rl.estimator.RLEstimator attribute)
read_file() (sagemaker.s3.S3Downloader static method)
read_s3_file() (sagemaker.session.Session method)
record_set() (sagemaker.amazon.amazon_estimator.AmazonAlgorithmEstimatorBase method)
(sagemaker.FactorizationMachines method)
(sagemaker.IPInsights method)
(sagemaker.KMeans method)
(sagemaker.KNN method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.NTM method)
(sagemaker.Object2Vec method)
(sagemaker.PCA method)
(sagemaker.RandomCutForest method)
redshift_dataset_definition (sagemaker.dataset_definition.inputs.DatasetDefinition attribute)
RedshiftDatasetDefinition (class in sagemaker.dataset_definition.inputs)
register() (sagemaker.estimator.Estimator method)
(sagemaker.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.FactorizationMachines method)
(sagemaker.huggingface.model.HuggingFaceModel method)
(sagemaker.IPInsights method)
(sagemaker.KMeans method)
(sagemaker.KNN method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.model.Model method)
(sagemaker.mxnet.model.MXNetModel method)
(sagemaker.NTM method)
(sagemaker.Object2Vec method)
(sagemaker.PCA method)
(sagemaker.pytorch.model.PyTorchModel method)
(sagemaker.RandomCutForest method)
(sagemaker.tensorflow.model.TensorFlowModel method)
register_post_partition_hook()
built-in function
RegisterModel (class in sagemaker.workflow.step_collections)
regress() (sagemaker.tensorflow.model.TensorFlowPredictor method)
repo_name (sagemaker.amazon.amazon_estimator.AmazonAlgorithmEstimatorBase attribute)
(sagemaker.FactorizationMachines attribute)
(sagemaker.IPInsights attribute)
(sagemaker.KMeans attribute)
(sagemaker.KNN attribute)
(sagemaker.LDA attribute)
(sagemaker.LinearLearner attribute)
(sagemaker.NTM attribute)
(sagemaker.Object2Vec attribute)
(sagemaker.PCA attribute)
(sagemaker.RandomCutForest attribute)
repo_version (sagemaker.amazon.amazon_estimator.AmazonAlgorithmEstimatorBase attribute)
(sagemaker.FactorizationMachines attribute)
(sagemaker.IPInsights attribute)
(sagemaker.KMeans attribute)
(sagemaker.KNN attribute)
(sagemaker.LDA attribute)
(sagemaker.LinearLearner attribute)
(sagemaker.NTM attribute)
(sagemaker.Object2Vec attribute)
(sagemaker.PCA attribute)
(sagemaker.RandomCutForest attribute)
retrieve() (in module sagemaker.image_uris)
right (sagemaker.workflow.conditions.ConditionComparison attribute)
RLEstimator (class in sagemaker.rl.estimator)
Rule (class in sagemaker.debugger)
rule_parameters (sagemaker.debugger.RuleBase attribute)
RuleBase (class in sagemaker.debugger)
run() (sagemaker.clarify.SageMakerClarifyProcessor method)
(sagemaker.feature_store.feature_group.AthenaQuery method)
(sagemaker.feature_store.feature_group.IngestionManagerPandas method)
(sagemaker.processing.FrameworkProcessor method)
(sagemaker.processing.Processor method)
(sagemaker.processing.ScriptProcessor method)
(sagemaker.spark.processing.PySparkProcessor method)
(sagemaker.spark.processing.SparkJarProcessor method)
run_baseline() (sagemaker.model_monitor.clarify_model_monitoring.ClarifyModelMonitor method)
(sagemaker.model_monitor.model_monitoring.DefaultModelMonitor method)
(sagemaker.model_monitor.model_monitoring.ModelMonitor method)
run_bias() (sagemaker.clarify.SageMakerClarifyProcessor method)
run_explainability() (sagemaker.clarify.SageMakerClarifyProcessor method)
run_post_training_bias() (sagemaker.clarify.SageMakerClarifyProcessor method)
run_pre_training_bias() (sagemaker.clarify.SageMakerClarifyProcessor method)
RunArgs (class in sagemaker.processing)
S
s3_compression_type (sagemaker.dataset_definition.inputs.S3Input attribute)
s3_data_distribution_type (sagemaker.dataset_definition.inputs.S3Input attribute)
s3_data_type (sagemaker.dataset_definition.inputs.S3Input attribute)
s3_input_mode (sagemaker.dataset_definition.inputs.S3Input attribute)
s3_output_path (sagemaker.debugger.RuleBase attribute)
s3_path_join() (in module sagemaker.s3)
s3_storage_config (sagemaker.feature_store.inputs.OfflineStoreConfig attribute)
s3_uri (sagemaker.dataset_definition.inputs.S3Input attribute)
(sagemaker.feature_store.inputs.S3StorageConfig attribute)
S3Downloader (class in sagemaker.s3)
S3Input (class in sagemaker.dataset_definition.inputs)
S3StorageConfig (class in sagemaker.feature_store.inputs)
S3Uploader (class in sagemaker.s3)
sagemaker() (sagemaker.debugger.ProfilerRule class method)
(sagemaker.debugger.Rule class method)
sagemaker.algorithm
module
sagemaker.automl.automl
module
sagemaker.automl.candidate_estimator
module
sagemaker.clarify
module
sagemaker.dataset_definition.inputs
module
sagemaker.debugger.metrics_config
module
sagemaker.debugger.rule_configs (class in sagemaker.debugger)
sagemaker.deserializers
module
sagemaker.image_uris
module
sagemaker.inputs
module
sagemaker.lambda_helper
module
sagemaker.model_monitor.clarify_model_monitoring
module
sagemaker.model_monitor.cron_expression_generator
module
sagemaker.model_monitor.data_capture_config
module
sagemaker.model_monitor.dataset_format
module
sagemaker.model_monitor.model_monitoring
module
sagemaker.model_monitor.monitoring_files
module
sagemaker.multidatamodel
module
sagemaker.network
module
sagemaker.parameter
module
sagemaker.processing
module
sagemaker.s3
module
sagemaker.serializers
module
sagemaker.session
module
sagemaker.spark.processing
module
sagemaker_capture_json() (sagemaker.model_monitor.dataset_format.DatasetFormat static method)
SAGEMAKER_ESTIMATOR_CLASS_NAME (sagemaker.tuner.HyperparameterTuner attribute)
SAGEMAKER_ESTIMATOR_MODULE (sagemaker.tuner.HyperparameterTuner attribute)
sagemaker_fs_runtime_client_config (sagemaker.feature_store.feature_group.IngestionManagerPandas attribute)
sagemaker_session (sagemaker.feature_store.feature_group.AthenaQuery attribute)
(sagemaker.feature_store.feature_group.FeatureGroup attribute)
(sagemaker.workflow.pipeline._PipelineExecution attribute)
(sagemaker.workflow.pipeline.Pipeline attribute)
sagemaker_session() (sagemaker.tuner.HyperparameterTuner property)
SageMakerClarifyProcessor (class in sagemaker.clarify)
save() (sagemaker.model_monitor.monitoring_files.ModelMonitoringFile method)
ScriptProcessor (class in sagemaker.processing)
serialize() (sagemaker.serializers.BaseSerializer method)
(sagemaker.serializers.CSVSerializer method)
(sagemaker.serializers.IdentitySerializer method)
(sagemaker.serializers.JSONLinesSerializer method)
(sagemaker.serializers.JSONSerializer method)
(sagemaker.serializers.LibSVMSerializer method)
(sagemaker.serializers.NumpySerializer method)
(sagemaker.serializers.SparseMatrixSerializer method)
serving_image_uri() (sagemaker.chainer.model.ChainerModel method)
(sagemaker.huggingface.model.HuggingFaceModel method)
(sagemaker.mxnet.model.MXNetModel method)
(sagemaker.pytorch.model.PyTorchModel method)
(sagemaker.sklearn.model.SKLearnModel method)
(sagemaker.tensorflow.model.TensorFlowModel method)
(sagemaker.xgboost.model.XGBoostModel method)
Session (class in sagemaker.session)
set_hyperparameters() (sagemaker.algorithm.AlgorithmEstimator method)
(sagemaker.estimator.Estimator method)
set_monitoring() (sagemaker.model_monitor.monitoring_files.Constraints method)
SHAPConfig (class in sagemaker.clarify)
ShuffleConfig (class in sagemaker.inputs)
SimpleBaseDeserializer (class in sagemaker.deserializers)
SimpleBaseSerializer (class in sagemaker.serializers)
SKLearn (class in sagemaker.sklearn.estimator)
SKLearnModel (class in sagemaker.sklearn.model)
SKLearnPredictor (class in sagemaker.sklearn.model)
SKLearnProcessor (class in sagemaker.sklearn.processing)
SM_DDP_CUSTOM_MPI_OPTIONS (sagemaker.estimator.Framework attribute)
smdistributed.dataparallel.tensorflow.allreduce()
built-in function
smdistributed.dataparallel.tensorflow.broadcast()
built-in function
smdistributed.dataparallel.tensorflow.broadcast_global_variables()
built-in function
smdistributed.dataparallel.tensorflow.broadcast_variables()
built-in function
smdistributed.dataparallel.tensorflow.BroadcastGlobalVariablesHook()
built-in function
smdistributed.dataparallel.tensorflow.Compression()
built-in function
smdistributed.dataparallel.tensorflow.DistributedGradientTape()
built-in function
smdistributed.dataparallel.tensorflow.DistributedOptimizer()
built-in function
smdistributed.dataparallel.tensorflow.init()
built-in function
smdistributed.dataparallel.tensorflow.local_rank()
built-in function
smdistributed.dataparallel.tensorflow.local_size()
built-in function
smdistributed.dataparallel.tensorflow.oob_allreduce()
built-in function
smdistributed.dataparallel.tensorflow.overlap()
built-in function
smdistributed.dataparallel.tensorflow.rank()
built-in function
smdistributed.dataparallel.tensorflow.ReduceOp()
built-in function
smdistributed.dataparallel.tensorflow.shutdown()
built-in function
smdistributed.dataparallel.tensorflow.size()
built-in function
smdistributed.dataparallel.torch.distributed.all_gather()
built-in function
smdistributed.dataparallel.torch.distributed.all_reduce()
built-in function
smdistributed.dataparallel.torch.distributed.all_to_all_single()
built-in function
smdistributed.dataparallel.torch.distributed.barrier()
built-in function
smdistributed.dataparallel.torch.distributed.broadcast()
built-in function
smdistributed.dataparallel.torch.distributed.get_local_rank()
built-in function
smdistributed.dataparallel.torch.distributed.get_rank()
built-in function
smdistributed.dataparallel.torch.distributed.get_world_size()
built-in function
smdistributed.dataparallel.torch.distributed.init_process_group()
built-in function
smdistributed.dataparallel.torch.distributed.is_available()
built-in function
smdistributed.dataparallel.torch.distributed.is_initialized()
built-in function
smdistributed.dataparallel.torch.distributed.ReduceOp (built-in class)
smdistributed.dataparallel.torch.parallel.DistributedDataParallel (built-in class)
smp.allgather()
built-in function
smp.amp.GradScaler (built-in variable)
smp.barrier()
built-in function
smp.broadcast()
built-in function
smp.CheckpointManager (built-in class)
smp.CheckpointManager.restore()
built-in function
smp.CheckpointManager.save()
built-in function
smp.CommGroup (built-in variable)
smp.DistributedModel (built-in class)
smp.DistributedModel.backward()
built-in function
smp.DistributedModel.cpu()
built-in function
smp.DistributedModel.join()
built-in function
smp.DistributedModel.load_state_dict()
built-in function
smp.DistributedModel.local_buffers()
built-in function
smp.DistributedModel.local_modules()
built-in function
smp.DistributedModel.local_named_buffers()
built-in function
smp.DistributedModel.local_named_modules()
built-in function
smp.DistributedModel.local_named_parameters()
built-in function
smp.DistributedModel.local_parameters()
built-in function
smp.DistributedModel.local_state_dict()
built-in function
smp.DistributedModel.register_comm_hook()
built-in function
smp.DistributedModel.register_post_partition_hook()
built-in function
smp.DistributedModel.save_model()
built-in function
smp.DistributedModel.state_dict()
built-in function
smp.DistributedOptimizer (built-in class)
smp.DistributedOptimizer.load_state_dict()
built-in function
smp.DistributedOptimizer.local_state_dict()
built-in function
smp.DistributedOptimizer.state_dict()
built-in function
smp.dp_barrier()
built-in function
smp.get_dp_process_group()
built-in function
smp.get_mp_process_group()
built-in function
smp.get_world_process_group()
built-in function
smp.init()
built-in function
smp.is_initialized()
built-in function
smp.load()
built-in function
smp.mp_barrier()
built-in function
smp.nn.FusedLayerNorm (built-in variable)
smp.optimizers.FusedLamb (built-in variable)
smp.optimizers.FusedNovoGrad (built-in variable)
smp.partition()
built-in function
smp.RankType (built-in variable)
smp.recv_from()
built-in function
smp.save()
built-in function
smp.send()
built-in function
SparkJarProcessor (class in sagemaker.spark.processing)
SparkMLModel (class in sagemaker.sparkml.model)
SparkMLPredictor (class in sagemaker.sparkml.model)
SparseMatrixSerializer (class in sagemaker.serializers)
split_type (sagemaker.inputs.TransformInput attribute)
start() (sagemaker.workflow.pipeline.Pipeline method)
start_monitoring_schedule() (sagemaker.model_monitor.model_monitoring.ModelMonitor method)
(sagemaker.session.Session method)
start_new() (sagemaker.automl.automl.AutoMLJob class method)
(sagemaker.processing.ProcessingJob class method)
start_query_execution() (sagemaker.session.Session method)
STARTING (sagemaker.session.LogState attribute)
Statistics (class in sagemaker.model_monitor.monitoring_files)
statistics() (sagemaker.model_monitor.clarify_model_monitoring.ClarifyMonitoringExecution method)
(sagemaker.model_monitor.model_monitoring.MonitoringExecution method)
Step (class in sagemaker.workflow.steps)
step_name (sagemaker.workflow.functions.JsonGet attribute)
step_type (sagemaker.workflow.steps.Step attribute)
StepCollection (class in sagemaker.workflow.step_collections)
StepOutput (built-in class)
StepOutput.accumulate()
built-in function
StepOutput.concat()
built-in function
StepOutput.merge()
built-in function
StepOutput.outputs (built-in variable)
StepOutput.reduce_mean()
built-in function
StepOutput.reduce_sum()
built-in function
StepOutput.stack()
built-in function
StepRange (class in sagemaker.debugger.metrics_config)
steps (sagemaker.workflow.pipeline.Pipeline attribute)
(sagemaker.workflow.step_collections.StepCollection attribute)
StepTypeEnum (class in sagemaker.workflow.steps)
stop() (sagemaker.processing.ProcessingJob method)
(sagemaker.workflow.pipeline._PipelineExecution method)
stop_monitoring_schedule() (sagemaker.model_monitor.model_monitoring.ModelMonitor method)
(sagemaker.session.Session method)
stop_processing_job() (sagemaker.session.Session method)
stop_training_job() (sagemaker.session.Session method)
stop_transform_job() (sagemaker.session.Session method)
(sagemaker.transformer.Transformer method)
stop_tuning_job() (sagemaker.session.Session method)
(sagemaker.tuner.HyperparameterTuner method)
StreamDeserializer (class in sagemaker.deserializers)
StringDeserializer (class in sagemaker.deserializers)
StringFeatureDefinition (class in sagemaker.feature_store.feature_definition)
suggest_baseline() (sagemaker.model_monitor.clarify_model_monitoring.ModelBiasMonitor method)
(sagemaker.model_monitor.clarify_model_monitoring.ModelExplainabilityMonitor method)
(sagemaker.model_monitor.model_monitoring.DefaultModelMonitor method)
(sagemaker.model_monitor.model_monitoring.ModelQualityMonitor method)
suggested_constraints() (sagemaker.model_monitor.clarify_model_monitoring.ClarifyBaseliningJob method)
(sagemaker.model_monitor.model_monitoring.BaseliningJob method)
(sagemaker.model_monitor.model_monitoring.ModelMonitor method)
T
table_name (sagemaker.feature_store.feature_group.AthenaQuery attribute)
(sagemaker.feature_store.inputs.DataCatalogConfig attribute)
TAILING (sagemaker.session.LogState attribute)
TensorBoardOutputConfig (class in sagemaker.debugger)
TensorFlow (class in sagemaker.tensorflow.estimator)
TensorFlowModel (class in sagemaker.tensorflow.model)
TensorFlowPredictor (class in sagemaker.tensorflow.model)
tied_token_embedding_weight (sagemaker.Object2Vec attribute)
TimeRange (class in sagemaker.debugger.metrics_config)
to_debugger_rule_config_dict() (sagemaker.debugger.Rule method)
to_dict() (sagemaker.feature_store.feature_definition.FeatureDefinition method)
(sagemaker.feature_store.inputs.Config method)
(sagemaker.feature_store.inputs.DataCatalogConfig method)
(sagemaker.feature_store.inputs.FeatureValue method)
(sagemaker.feature_store.inputs.OfflineStoreConfig method)
(sagemaker.feature_store.inputs.OnlineStoreConfig method)
(sagemaker.feature_store.inputs.OnlineStoreSecurityConfig method)
(sagemaker.feature_store.inputs.S3StorageConfig method)
to_json() (sagemaker.debugger.metrics_config.StepRange method)
(sagemaker.debugger.metrics_config.TimeRange method)
to_profiler_rule_config_dict() (sagemaker.debugger.ProfilerRule method)
to_request() (sagemaker.workflow.pipeline.Pipeline method)
to_request_dict() (sagemaker.automl.automl.AutoMLInput method)
token_embedding_storage_type (sagemaker.Object2Vec attribute)
TOTAL_TIME (sagemaker.debugger.cProfileTimer attribute)
train() (sagemaker.session.Session method)
training_config() (in module sagemaker.workflow.airflow)
training_image_uri() (sagemaker.algorithm.AlgorithmEstimator method)
(sagemaker.amazon.amazon_estimator.AmazonAlgorithmEstimatorBase method)
(sagemaker.estimator.Estimator method)
(sagemaker.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.FactorizationMachines method)
(sagemaker.IPInsights method)
(sagemaker.KMeans method)
(sagemaker.KNN method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.NTM method)
(sagemaker.Object2Vec method)
(sagemaker.PCA method)
(sagemaker.RandomCutForest method)
(sagemaker.rl.estimator.RLEstimator method)
training_job_analytics() (sagemaker.estimator.Estimator property)
(sagemaker.estimator.EstimatorBase property)
(sagemaker.estimator.Framework property)
(sagemaker.FactorizationMachines property)
(sagemaker.IPInsights property)
(sagemaker.KMeans property)
(sagemaker.KNN property)
(sagemaker.LDA property)
(sagemaker.LinearLearner property)
(sagemaker.NTM property)
(sagemaker.Object2Vec property)
(sagemaker.PCA property)
(sagemaker.RandomCutForest property)
training_job_summaries() (sagemaker.analytics.HyperparameterTuningJobAnalytics method)
TrainingInput (class in sagemaker.inputs)
TrainingJobAnalytics (class in sagemaker.analytics)
TrainingStep (class in sagemaker.workflow.steps)
transfer_learning_tuner() (sagemaker.tuner.HyperparameterTuner method)
transform() (sagemaker.session.Session method)
(sagemaker.transformer.Transformer method)
transform_config() (in module sagemaker.workflow.airflow)
transform_config_from_estimator() (in module sagemaker.workflow.airflow)
Transformer (class in sagemaker.transformer)
transformer() (sagemaker.algorithm.AlgorithmEstimator method)
(sagemaker.estimator.Estimator method)
(sagemaker.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.FactorizationMachines method)
(sagemaker.IPInsights method)
(sagemaker.KMeans method)
(sagemaker.KNN method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.model.Model method)
(sagemaker.NTM method)
(sagemaker.Object2Vec method)
(sagemaker.PCA method)
(sagemaker.pipeline.PipelineModel method)
(sagemaker.RandomCutForest method)
(sagemaker.tensorflow.estimator.TensorFlow method)
TransformInput (class in sagemaker.inputs)
TransformStep (class in sagemaker.workflow.steps)
tune() (sagemaker.session.Session method)
tuning_config() (in module sagemaker.workflow.airflow)
TUNING_JOB_NAME_MAX_LENGTH (sagemaker.tuner.HyperparameterTuner attribute)
tuning_ranges() (sagemaker.analytics.HyperparameterTuningJobAnalytics property)
TuningStep (class in sagemaker.workflow.steps)
TuningStep.get_top_model_s3_uri() (in module sagemaker.workflow.steps)
type() (sagemaker.automl.candidate_estimator.CandidateStep property)
U
unbias_data (sagemaker.LinearLearner attribute)
unbias_label (sagemaker.LinearLearner attribute)
update() (sagemaker.lambda_helper.Lambda method)
(sagemaker.workflow.pipeline.Pipeline method)
update_args() (in module sagemaker.session)
update_data_capture_config() (sagemaker.predictor.Predictor method)
update_endpoint() (sagemaker.predictor.Predictor method)
(sagemaker.session.Session method)
update_monitoring_schedule() (sagemaker.model_monitor.clarify_model_monitoring.ModelBiasMonitor method)
(sagemaker.model_monitor.clarify_model_monitoring.ModelExplainabilityMonitor method)
(sagemaker.model_monitor.model_monitoring.DefaultModelMonitor method)
(sagemaker.model_monitor.model_monitoring.ModelMonitor method)
(sagemaker.model_monitor.model_monitoring.ModelQualityMonitor method)
(sagemaker.session.Session method)
update_profiler() (sagemaker.estimator.Estimator method)
(sagemaker.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.FactorizationMachines method)
(sagemaker.IPInsights method)
(sagemaker.KMeans method)
(sagemaker.KNN method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.NTM method)
(sagemaker.Object2Vec method)
(sagemaker.PCA method)
(sagemaker.RandomCutForest method)
update_training_job() (sagemaker.session.Session method)
upload() (sagemaker.s3.S3Uploader static method)
upload_data() (sagemaker.session.Session method)
upload_string_as_file_body() (sagemaker.s3.S3Uploader static method)
(sagemaker.session.Session method)
upsert() (sagemaker.workflow.pipeline.Pipeline method)
V
validate_and_update_inference_response() (sagemaker.automl.automl.AutoML class method)
validate_train_spec() (sagemaker.algorithm.AlgorithmEstimator method)
value_as_string (sagemaker.feature_store.inputs.FeatureValue attribute)
values (sagemaker.workflow.functions.Join attribute)
volume_size_in_gb (sagemaker.debugger.RuleBase attribute)
W
wait() (sagemaker.automl.automl.AutoMLJob method)
(sagemaker.feature_store.feature_group.AthenaQuery method)
(sagemaker.feature_store.feature_group.IngestionManagerPandas method)
(sagemaker.processing.ProcessingJob method)
(sagemaker.transformer.Transformer method)
(sagemaker.tuner.HyperparameterTuner method)
(sagemaker.workflow.pipeline._PipelineExecution method)
wait_for_athena_query() (sagemaker.session.Session method)
wait_for_auto_ml_job() (sagemaker.session.Session method)
wait_for_compilation_job() (sagemaker.session.Session method)
wait_for_edge_packaging_job() (sagemaker.session.Session method)
wait_for_endpoint() (sagemaker.session.Session method)
wait_for_job() (sagemaker.session.Session method)
wait_for_model_package() (sagemaker.session.Session method)
wait_for_processing_job() (sagemaker.session.Session method)
wait_for_transform_job() (sagemaker.session.Session method)
wait_for_tuning_job() (sagemaker.session.Session method)
WAIT_IN_PROGRESS (sagemaker.session.LogState attribute)
was_processing_job_successful() (sagemaker.session.Session method)
work_group (sagemaker.dataset_definition.inputs.AthenaDatasetDefinition attribute)
X
XGBoost (class in sagemaker.xgboost.estimator)
XGBoostModel (class in sagemaker.xgboost.model)
XGBoostPredictor (class in sagemaker.xgboost.model)
Read the Docs
v: v2.59.0
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