sagemaker
v1.26.0
Using the SageMaker Python SDK
Estimators
HyperparameterTuner
Model
PipelineModel
Predictors
Transformer
Session
Analytics
Using MXNet with the SageMaker Python SDK
MXNet Classes
Using TensorFlow with the SageMaker Python SDK
TensorFlow
Using Scikit-learn with the SageMaker Python SDK
Scikit Learn
Using PyTorch with the SageMaker Python SDK
PyTorch
Using Chainer with the SageMaker Python SDK
Chainer
Using Reinforcement Learning with the SageMaker Python SDK
RLEstimator
SparkML Serving
Amazon Estimators
FactorizationMachines
IP Insights
K-means
K-Nearest Neighbors
LDA
LinearLearner
NTM
Object2Vec
PCA
Random Cut Forest
SageMaker Workflow in Apache Airflow
Airflow
sagemaker
Docs
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Index
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Index
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B
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C
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D
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E
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R
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W
A
accuracy_top_k (sagemaker.LinearLearner attribute)
AmazonAlgorithmEstimatorBase (class in sagemaker.amazon.amazon_estimator)
analytics() (sagemaker.tuner.HyperparameterTuner method)
AnalyticsMetricsBase (class in sagemaker.analytics)
as_json_range() (sagemaker.tuner.CategoricalParameter method)
as_tuning_range() (sagemaker.tuner.CategoricalParameter method)
attach() (sagemaker.estimator.Estimator 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.NTM class method)
(sagemaker.Object2Vec class method)
(sagemaker.PCA class method)
(sagemaker.RandomCutForest class method)
(sagemaker.estimator.EstimatorBase class method)
(sagemaker.estimator.Framework class method)
(sagemaker.transformer.Transformer class method)
(sagemaker.tuner.HyperparameterTuner class method)
B
balance_multiclass_weights (sagemaker.LinearLearner attribute)
best_training_job() (sagemaker.tuner.HyperparameterTuner method)
boto_region_name (sagemaker.session.Session attribute)
C
cast_to_type() (sagemaker.tuner.CategoricalParameter class method)
(sagemaker.tuner.ContinuousParameter class method)
(sagemaker.tuner.IntegerParameter class method)
CategoricalParameter (class in sagemaker.tuner)
Chainer (class in sagemaker.chainer.estimator)
ChainerModel (class in sagemaker.chainer.model)
ChainerPredictor (class in sagemaker.chainer.model)
check_neo_region() (sagemaker.model.Model method)
classify() (sagemaker.tensorflow.serving.Predictor method)
clear_cache() (sagemaker.analytics.AnalyticsMetricsBase 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)
comparator_list (sagemaker.Object2Vec attribute)
compile() (sagemaker.model.Model method)
compile_model() (sagemaker.estimator.Estimator 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.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.session.Session method)
COMPLETE (sagemaker.session.LogState attribute)
config (sagemaker.session.s3_input attribute)
container_def() (in module sagemaker.session)
ContinuousParameter (class in sagemaker.tuner)
create_endpoint() (sagemaker.session.Session method)
create_endpoint_config() (sagemaker.session.Session method)
create_model() (sagemaker.chainer.estimator.Chainer 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.estimator.Estimator method)
(sagemaker.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.mxnet.estimator.MXNet method)
(sagemaker.pytorch.estimator.PyTorch method)
(sagemaker.rl.estimator.RLEstimator method)
(sagemaker.session.Session method)
(sagemaker.sklearn.estimator.SKLearn method)
(sagemaker.tensorflow.estimator.TensorFlow method)
create_model_from_job() (sagemaker.session.Session method)
create_model_package_from_algorithm() (sagemaker.session.Session method)
D
data_location (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)
dataframe() (sagemaker.analytics.AnalyticsMetricsBase method)
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)
delete_endpoint() (sagemaker.estimator.Estimator 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.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.predictor.RealTimePredictor method)
(sagemaker.session.Session method)
(sagemaker.tuner.HyperparameterTuner method)
delete_endpoint_config() (sagemaker.session.Session method)
delete_model() (sagemaker.model.Model method)
(sagemaker.pipeline.PipelineModel method)
(sagemaker.predictor.RealTimePredictor method)
(sagemaker.session.Session method)
(sagemaker.transformer.Transformer method)
deploy() (sagemaker.estimator.Estimator 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.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.model.Model method)
(sagemaker.pipeline.PipelineModel method)
(sagemaker.tuner.HyperparameterTuner method)
deploy_config() (in module sagemaker.workflow.airflow)
deploy_config_from_estimator() (in module sagemaker.workflow.airflow)
description() (sagemaker.analytics.HyperparameterTuningJobAnalytics method)
E
early_stopping_patience (sagemaker.LinearLearner attribute)
early_stopping_tolerance (sagemaker.LinearLearner attribute)
enable_network_isolation() (sagemaker.estimator.Estimator 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.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.model.Model method)
(sagemaker.model.ModelPackage method)
endpoint_from_job() (sagemaker.session.Session method)
endpoint_from_model_data() (sagemaker.session.Session method)
endpoint_from_production_variants() (sagemaker.session.Session method)
env (sagemaker.session.ModelContainer attribute)
Estimator (class in sagemaker.estimator)
EstimatorBase (class in sagemaker.estimator)
eval_metrics (sagemaker.KMeans attribute)
expand_role() (sagemaker.session.Session method)
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)
fit() (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)
(sagemaker.estimator.Estimator method)
(sagemaker.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.tensorflow.estimator.TensorFlow method)
(sagemaker.tuner.HyperparameterTuner method)
Framework (class in sagemaker.estimator)
FRAMEWORK_NAME (sagemaker.tensorflow.serving.Model attribute)
FrameworkModel (class in sagemaker.model)
G
get_caller_identity_arn() (sagemaker.session.Session method)
get_execution_role() (in module sagemaker.session)
get_vpc_config() (sagemaker.estimator.Estimator 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.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
H
huber_delta (sagemaker.LinearLearner attribute)
hyperparameter_ranges() (sagemaker.tuner.HyperparameterTuner method)
hyperparameters() (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)
(sagemaker.chainer.estimator.Chainer method)
(sagemaker.estimator.Estimator method)
(sagemaker.estimator.EstimatorBase method)
(sagemaker.estimator.Framework 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)
image (sagemaker.session.ModelContainer attribute)
IntegerParameter (class in sagemaker.tuner)
IPInsights (class in sagemaker)
IPInsightsModel (class in sagemaker)
IPInsightsPredictor (class in sagemaker)
is_valid() (sagemaker.tuner.CategoricalParameter method)
J
JOB_COMPLETE (sagemaker.session.LogState attribute)
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_VERSION (sagemaker.chainer.estimator.Chainer attribute)
(sagemaker.mxnet.estimator.MXNet attribute)
(sagemaker.pytorch.estimator.PyTorch attribute)
(sagemaker.tensorflow.estimator.TensorFlow attribute)
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)
LOG_LEVEL_MAP (sagemaker.tensorflow.serving.Model attribute)
LOG_LEVEL_PARAM_NAME (sagemaker.tensorflow.serving.Model attribute)
logs_for_job() (sagemaker.session.Session method)
LogState (class in sagemaker.session)
loss_insensitivity (sagemaker.LinearLearner attribute)
M
margin (sagemaker.LinearLearner attribute)
mini_batch_size (sagemaker.amazon.amazon_estimator.AmazonAlgorithmEstimatorBase attribute)
MINI_BATCH_SIZE (sagemaker.IPInsights attribute)
(sagemaker.Object2Vec attribute)
Model (class in sagemaker.model)
(class in sagemaker.tensorflow.serving)
model_config() (in module sagemaker.workflow.airflow)
model_config_from_estimator() (in module sagemaker.workflow.airflow)
model_data (sagemaker.estimator.Estimator 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)
(sagemaker.estimator.EstimatorBase attribute)
(sagemaker.estimator.Framework attribute)
ModelContainer (class in sagemaker.session)
ModelPackage (class in sagemaker.model)
MPI_CUSTOM_MPI_OPTIONS (sagemaker.estimator.Framework attribute)
MPI_NUM_PROCESSES_PER_HOST (sagemaker.estimator.Framework attribute)
MXNet (class in sagemaker.mxnet.estimator)
MXNetModel (class in sagemaker.mxnet.model)
MXNetPredictor (class in sagemaker.mxnet.model)
N
name (sagemaker.analytics.HyperparameterTuningJobAnalytics attribute)
(sagemaker.analytics.TrainingJobAnalytics attribute)
negative_sampling_rate (sagemaker.Object2Vec attribute)
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
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.RealTimePredictor method)
(sagemaker.tensorflow.serving.Predictor method)
Predictor (class in sagemaker.tensorflow.serving)
prepare_container_def() (sagemaker.chainer.model.ChainerModel method)
(sagemaker.model.FrameworkModel method)
(sagemaker.model.Model method)
(sagemaker.mxnet.model.MXNetModel method)
(sagemaker.pytorch.model.PyTorchModel method)
(sagemaker.sklearn.model.SKLearnModel method)
(sagemaker.tensorflow.model.TensorFlowModel method)
(sagemaker.tensorflow.serving.Model method)
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)
RealTimePredictor (class in sagemaker.predictor)
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.serving.Predictor 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)
RLEstimator (class in sagemaker.rl.estimator)
S
s3_input (class in sagemaker.session)
sagemaker.session (module)
SAGEMAKER_ESTIMATOR_CLASS_NAME (sagemaker.tuner.HyperparameterTuner attribute)
SAGEMAKER_ESTIMATOR_MODULE (sagemaker.tuner.HyperparameterTuner attribute)
sagemaker_session (sagemaker.tuner.HyperparameterTuner attribute)
Session (class in sagemaker.session)
set_hyperparameters() (sagemaker.estimator.Estimator method)
ShuffleConfig (class in sagemaker.session)
SKLearn (class in sagemaker.sklearn.estimator)
SKLearnModel (class in sagemaker.sklearn.model)
SKLearnPredictor (class in sagemaker.sklearn.model)
SparkMLModel (class in sagemaker.sparkml.model)
SparkMLPredictor (class in sagemaker.sparkml.model)
STARTING (sagemaker.session.LogState attribute)
stop_tuning_job() (sagemaker.session.Session method)
(sagemaker.tuner.HyperparameterTuner method)
T
TAILING (sagemaker.session.LogState attribute)
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)
token_embedding_storage_type (sagemaker.Object2Vec attribute)
train() (sagemaker.session.Session method)
train_image() (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)
(sagemaker.estimator.Estimator method)
(sagemaker.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.rl.estimator.RLEstimator method)
(sagemaker.tensorflow.estimator.TensorFlow method)
training_config() (in module sagemaker.workflow.airflow)
training_job_analytics (sagemaker.estimator.Estimator 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)
(sagemaker.estimator.EstimatorBase attribute)
(sagemaker.estimator.Framework attribute)
training_job_summaries() (sagemaker.analytics.HyperparameterTuningJobAnalytics method)
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.estimator.Estimator 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.estimator.EstimatorBase method)
(sagemaker.estimator.Framework method)
(sagemaker.model.Model method)
(sagemaker.pipeline.PipelineModel 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 attribute)
U
unbias_data (sagemaker.LinearLearner attribute)
unbias_label (sagemaker.LinearLearner attribute)
update_endpoint() (sagemaker.session.Session method)
upload_data() (sagemaker.session.Session method)
W
wait() (sagemaker.transformer.Transformer method)
(sagemaker.tuner.HyperparameterTuner 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_transform_job() (sagemaker.session.Session method)
wait_for_tuning_job() (sagemaker.session.Session method)
WAIT_IN_PROGRESS (sagemaker.session.LogState attribute)
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