sagemaker
v2.0.0
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 Model Monitor
Amazon SageMaker Processing
sagemaker
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Index
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A
accept() (sagemaker.predictor.Predictor property)
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)
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)
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.model_monitoring.DefaultModelMonitor class method)
(sagemaker.model_monitor.model_monitoring.ModelMonitor 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)
baseline_statistics() (sagemaker.model_monitor.model_monitoring.BaseliningJob method)
(sagemaker.model_monitor.model_monitoring.ModelMonitor method)
BaseliningJob (class in sagemaker.model_monitor.model_monitoring)
best_candidate() (sagemaker.automl.automl.AutoML method)
best_estimator() (sagemaker.tuner.HyperparameterTuner method)
best_training_job() (sagemaker.tuner.HyperparameterTuner method)
boto_region_name() (sagemaker.session.Session property)
C
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)
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)
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)
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)
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)
CONTAINER_CODE_CHANNEL_SOURCEDIR_PATH (sagemaker.estimator.Framework attribute)
container_def() (in module sagemaker.session)
content_type() (sagemaker.predictor.Predictor property)
ContinuousParameter (class in sagemaker.parameter)
(class in sagemaker.tuner)
create() (sagemaker.tuner.HyperparameterTuner class method)
create_endpoint() (sagemaker.session.Session method)
create_endpoint_config() (sagemaker.session.Session method)
create_endpoint_config_from_existing() (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.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_monitoring_schedule() (sagemaker.model_monitor.model_monitoring.DefaultModelMonitor method)
(sagemaker.model_monitor.model_monitoring.ModelMonitor method)
(sagemaker.session.Session method)
create_tuning_job() (sagemaker.session.Session method)
CronExpressionGenerator (class in sagemaker.model_monitor.cron_expression_generator)
csv() (sagemaker.model_monitor.dataset_format.DatasetFormat static method)
custom() (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_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)
DataCaptureConfig (class in sagemaker.model_monitor.data_capture_config)
dataframe() (sagemaker.analytics.AnalyticsMetricsBase method)
DatasetFormat (class in sagemaker.model_monitor.dataset_format)
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)
DefaultModelMonitor (class in sagemaker.model_monitor.model_monitoring)
delete_endpoint() (sagemaker.predictor.Predictor method)
(sagemaker.session.Session method)
delete_endpoint_config() (sagemaker.session.Session method)
delete_model() (sagemaker.model.Model method)
(sagemaker.pipeline.PipelineModel method)
(sagemaker.predictor.Predictor method)
(sagemaker.session.Session method)
(sagemaker.transformer.Transformer method)
delete_monitoring_schedule() (sagemaker.model_monitor.model_monitoring.ModelMonitor method)
(sagemaker.session.Session method)
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.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.processing.ProcessingJob method)
(sagemaker.tuner.HyperparameterTuner method)
describe_auto_ml_job() (sagemaker.automl.automl.AutoML method)
(sagemaker.session.Session method)
describe_latest_baselining_job() (sagemaker.model_monitor.model_monitoring.ModelMonitor 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.analytics.HyperparameterTuningJobAnalytics method)
(sagemaker.automl.candidate_estimator.CandidateStep property)
disable_data_capture() (sagemaker.predictor.Predictor method)
download() (sagemaker.s3.S3Downloader static method)
download_data() (sagemaker.session.Session method)
E
early_stopping_patience (sagemaker.LinearLearner attribute)
early_stopping_tolerance (sagemaker.LinearLearner attribute)
enable_data_capture() (sagemaker.predictor.Predictor 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)
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)
Estimator (class in sagemaker.estimator)
EstimatorBase (class in sagemaker.estimator)
eval_metrics (sagemaker.KMeans attribute)
expand_role() (sagemaker.session.Session method)
ExperimentAnalytics (class in sagemaker.analytics)
export_csv() (sagemaker.analytics.AnalyticsMetricsBase method)
F
f_beta (sagemaker.LinearLearner attribute)
FactorizationMachines (class in sagemaker)
FactorizationMachinesModel (class in sagemaker)
FactorizationMachinesPredictor (class in sagemaker)
feature_dim (sagemaker.amazon.amazon_estimator.AmazonAlgorithmEstimatorBase attribute)
FileSystemInput (class in sagemaker.inputs)
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)
Framework (class in sagemaker.estimator)
FrameworkModel (class in sagemaker.model)
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)
G
get_caller_identity_arn() (sagemaker.session.Session method)
get_execution_role() (in module sagemaker.session)
get_rule_container_image_uri() (in module sagemaker.debugger)
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)
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.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)
(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)
inputs() (sagemaker.automl.candidate_estimator.CandidateStep property)
IntegerParameter (class in sagemaker.parameter)
(class in sagemaker.tuner)
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
JOB_COMPLETE (sagemaker.session.LogState attribute)
json() (sagemaker.model_monitor.dataset_format.DatasetFormat static method)
K
KMeans (class in sagemaker)
KMeansModel (class in sagemaker)
KMeansPredictor (class in sagemaker)
KNN (class in sagemaker)
KNNModel (class in sagemaker)
KNNPredictor (class in sagemaker)
L
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_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.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)
LDA (class in sagemaker)
LDAModel (class in sagemaker)
LDAPredictor (class in sagemaker)
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.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_tags() (sagemaker.session.Session method)
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_TRIAL_COMPONENTS (sagemaker.analytics.ExperimentAnalytics 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_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)
ModelMonitor (class in sagemaker.model_monitor.model_monitoring)
ModelMonitoringFile (class in sagemaker.model_monitor.monitoring_files)
ModelPackage (class in sagemaker.model)
module
sagemaker.algorithm
sagemaker.automl.automl
sagemaker.automl.candidate_estimator
sagemaker.debugger
sagemaker.image_uris
sagemaker.inputs
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.session
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.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)
O
Object2Vec (class in sagemaker)
Object2VecModel (class in sagemaker)
P
ParameterRange (class in sagemaker.parameter)
parse_s3_url() (in module sagemaker.s3)
PCA (class in sagemaker)
PCAModel (class in sagemaker)
PCAPredictor (class in sagemaker)
pipeline_container_def() (in module sagemaker.session)
(sagemaker.pipeline.PipelineModel method)
PipelineModel (class in sagemaker.pipeline)
predict() (sagemaker.predictor.Predictor method)
(sagemaker.tensorflow.model.TensorFlowPredictor method)
Predictor (class in sagemaker.predictor)
prepare_app_specification() (sagemaker.processing.ProcessingJob static method)
prepare_container_def() (sagemaker.chainer.model.ChainerModel 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)
Processor (class in sagemaker.processing)
production_variant() (in module sagemaker.session)
PyTorch (class in sagemaker.pytorch.estimator)
PyTorchModel (class in sagemaker.pytorch.model)
PyTorchPredictor (class in sagemaker.pytorch.model)
Q
quantile (sagemaker.LinearLearner 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)
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)
RLEstimator (class in sagemaker.rl.estimator)
Rule (class in sagemaker.debugger)
run() (sagemaker.processing.Processor method)
(sagemaker.processing.ScriptProcessor method)
run_baseline() (sagemaker.model_monitor.model_monitoring.DefaultModelMonitor method)
(sagemaker.model_monitor.model_monitoring.ModelMonitor method)
S
S3Downloader (class in sagemaker.s3)
S3Uploader (class in sagemaker.s3)
sagemaker() (sagemaker.debugger.Rule class method)
sagemaker.algorithm
module
sagemaker.automl.automl
module
sagemaker.automl.candidate_estimator
module
sagemaker.debugger
module
sagemaker.image_uris
module
sagemaker.inputs
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.session
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_session() (sagemaker.tuner.HyperparameterTuner property)
save() (sagemaker.model_monitor.monitoring_files.ModelMonitoringFile method)
ScriptProcessor (class in sagemaker.processing)
serving_image_uri() (sagemaker.chainer.model.ChainerModel 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)
ShuffleConfig (class in sagemaker.inputs)
SKLearn (class in sagemaker.sklearn.estimator)
SKLearnModel (class in sagemaker.sklearn.model)
SKLearnPredictor (class in sagemaker.sklearn.model)
SKLearnProcessor (class in sagemaker.sklearn.processing)
SparkMLModel (class in sagemaker.sparkml.model)
SparkMLPredictor (class in sagemaker.sparkml.model)
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)
STARTING (sagemaker.session.LogState attribute)
Statistics (class in sagemaker.model_monitor.monitoring_files)
statistics() (sagemaker.model_monitor.model_monitoring.MonitoringExecution method)
stop() (sagemaker.processing.ProcessingJob 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)
suggest_baseline() (sagemaker.model_monitor.model_monitoring.DefaultModelMonitor method)
suggested_constraints() (sagemaker.model_monitor.model_monitoring.BaseliningJob method)
(sagemaker.model_monitor.model_monitoring.ModelMonitor method)
T
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)
to_debugger_rule_config_dict() (sagemaker.debugger.Rule method)
to_request_dict() (sagemaker.automl.automl.AutoMLInput method)
token_embedding_storage_type (sagemaker.Object2Vec 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)
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)
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)
type() (sagemaker.automl.candidate_estimator.CandidateStep property)
U
unbias_data (sagemaker.LinearLearner attribute)
unbias_label (sagemaker.LinearLearner attribute)
update_data_capture_config() (sagemaker.predictor.Predictor method)
update_endpoint() (sagemaker.predictor.Predictor method)
(sagemaker.session.Session method)
update_monitoring_schedule() (sagemaker.model_monitor.model_monitoring.DefaultModelMonitor method)
(sagemaker.model_monitor.model_monitoring.ModelMonitor method)
(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)
V
validate_and_update_inference_response() (sagemaker.automl.automl.AutoML class method)
validate_train_spec() (sagemaker.algorithm.AlgorithmEstimator method)
W
wait() (sagemaker.automl.automl.AutoMLJob method)
(sagemaker.processing.ProcessingJob method)
(sagemaker.transformer.Transformer method)
(sagemaker.tuner.HyperparameterTuner method)
wait_for_auto_ml_job() (sagemaker.session.Session method)
wait_for_compilation_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)
X
XGBoost (class in sagemaker.xgboost.estimator)
XGBoostModel (class in sagemaker.xgboost.model)
XGBoostPredictor (class in sagemaker.xgboost.model)
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