sagemaker
v1.5.0
Estimators
HyperparameterTuner
Predictors
Session
Model
Analytics
MXNet
TensorFlow
K-means
PCA
LinearLearner
Amazon Estimators
FactorizationMachines
LDA
NTM
sagemaker
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Index
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Index
A
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B
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C
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D
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E
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F
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G
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H
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I
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J
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K
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L
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M
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N
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P
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Q
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R
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S
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T
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U
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W
A
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.KMeans class method)
(sagemaker.LDA class method)
(sagemaker.LinearLearner class method)
(sagemaker.NTM class method)
(sagemaker.PCA class method)
(sagemaker.RandomCutForest class method)
(sagemaker.tuner.HyperparameterTuner class method)
B
best_training_job() (sagemaker.tuner.HyperparameterTuner method)
boto_region_name (sagemaker.session.Session attribute)
C
CategoricalParameter (class in sagemaker.tuner)
clear_cache() (sagemaker.analytics.AnalyticsMetricsBase method)
(sagemaker.analytics.HyperparameterTuningJobAnalytics method)
(sagemaker.analytics.TrainingJobAnalytics method)
CLOUDWATCH_NAMESPACE (sagemaker.analytics.TrainingJobAnalytics attribute)
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.estimator.Estimator method)
(sagemaker.FactorizationMachines method)
(sagemaker.KMeans method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.NTM method)
(sagemaker.PCA method)
(sagemaker.RandomCutForest method)
(sagemaker.mxnet.estimator.MXNet method)
(sagemaker.session.Session method)
(sagemaker.tensorflow.estimator.TensorFlow method)
create_model_from_job() (sagemaker.session.Session method)
D
data_location (sagemaker.amazon.amazon_estimator.AmazonAlgorithmEstimatorBase attribute)
(sagemaker.FactorizationMachines attribute)
(sagemaker.KMeans attribute)
(sagemaker.LDA attribute)
(sagemaker.LinearLearner attribute)
(sagemaker.NTM 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_MINI_BATCH_SIZE (sagemaker.LinearLearner attribute)
(sagemaker.PCA attribute)
delete_endpoint() (sagemaker.estimator.Estimator method)
(sagemaker.FactorizationMachines method)
(sagemaker.KMeans method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.NTM method)
(sagemaker.PCA method)
(sagemaker.RandomCutForest method)
(sagemaker.predictor.RealTimePredictor method)
(sagemaker.session.Session method)
(sagemaker.tuner.HyperparameterTuner method)
deploy() (sagemaker.estimator.Estimator method)
(sagemaker.FactorizationMachines method)
(sagemaker.KMeans method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.NTM method)
(sagemaker.PCA method)
(sagemaker.RandomCutForest method)
(sagemaker.model.Model method)
(sagemaker.tuner.HyperparameterTuner method)
description() (sagemaker.analytics.HyperparameterTuningJobAnalytics method)
E
early_stopping_patience (sagemaker.LinearLearner attribute)
early_stopping_tolerance (sagemaker.LinearLearner attribute)
endpoint_from_job() (sagemaker.session.Session method)
endpoint_from_model_data() (sagemaker.session.Session method)
endpoint_from_production_variants() (sagemaker.session.Session method)
Estimator (class in sagemaker.estimator)
eval_metrics (sagemaker.KMeans attribute)
expand_role() (sagemaker.session.Session method)
export_csv() (sagemaker.analytics.AnalyticsMetricsBase method)
F
FactorizationMachines (class in sagemaker)
FactorizationMachinesModel (class in sagemaker)
FactorizationMachinesPredictor (class in sagemaker)
feature_dim (sagemaker.amazon.amazon_estimator.AmazonAlgorithmEstimatorBase attribute)
(sagemaker.RandomCutForest attribute)
fit() (sagemaker.amazon.amazon_estimator.AmazonAlgorithmEstimatorBase method)
(sagemaker.FactorizationMachines method)
(sagemaker.KMeans method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.NTM method)
(sagemaker.PCA method)
(sagemaker.RandomCutForest method)
(sagemaker.estimator.Estimator method)
(sagemaker.tensorflow.estimator.TensorFlow method)
(sagemaker.tuner.HyperparameterTuner method)
G
get_caller_identity_arn() (sagemaker.session.Session method)
get_execution_role() (in module sagemaker.session)
H
huber_delta (sagemaker.LinearLearner attribute)
hyperparameter_ranges() (sagemaker.tuner.HyperparameterTuner method)
hyperparameters() (sagemaker.amazon.amazon_estimator.AmazonAlgorithmEstimatorBase method)
(sagemaker.FactorizationMachines method)
(sagemaker.KMeans method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.NTM method)
(sagemaker.PCA method)
(sagemaker.RandomCutForest method)
(sagemaker.estimator.Estimator method)
(sagemaker.tensorflow.estimator.TensorFlow method)
HyperparameterTuner (class in sagemaker.tuner)
HyperparameterTuningJobAnalytics (class in sagemaker.analytics)
I
IntegerParameter (class in sagemaker.tuner)
J
JOB_COMPLETE (sagemaker.session.LogState attribute)
K
KMeans (class in sagemaker)
KMeansModel (class in sagemaker)
KMeansPredictor (class in sagemaker)
L
LDA (class in sagemaker)
LDAModel (class in sagemaker)
LDAPredictor (class in sagemaker)
LinearLearner (class in sagemaker)
LinearLearnerModel (class in sagemaker)
LinearLearnerPredictor (class in sagemaker)
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)
Model (class in sagemaker.model)
model_data (sagemaker.estimator.Estimator attribute)
(sagemaker.FactorizationMachines attribute)
(sagemaker.KMeans attribute)
(sagemaker.LDA attribute)
(sagemaker.LinearLearner attribute)
(sagemaker.NTM attribute)
(sagemaker.PCA attribute)
(sagemaker.RandomCutForest 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)
normalize_data (sagemaker.LinearLearner attribute)
normalize_label (sagemaker.LinearLearner attribute)
NTM (class in sagemaker)
NTMModel (class in sagemaker)
NTMPredictor (class in sagemaker)
num_point_for_scaler (sagemaker.LinearLearner attribute)
P
PCA (class in sagemaker)
PCAModel (class in sagemaker)
PCAPredictor (class in sagemaker)
predict() (sagemaker.predictor.RealTimePredictor method)
prepare_container_def() (sagemaker.model.Model method)
(sagemaker.mxnet.model.MXNetModel method)
(sagemaker.tensorflow.model.TensorFlowModel method)
production_variant() (in module sagemaker.session)
Q
quantile (sagemaker.LinearLearner attribute)
R
RandomCutForest (class in sagemaker)
RandomCutForestModel (class in sagemaker)
RandomCutForestPredictor (class in sagemaker)
RealTimePredictor (class in sagemaker.predictor)
record_set() (sagemaker.amazon.amazon_estimator.AmazonAlgorithmEstimatorBase method)
(sagemaker.FactorizationMachines method)
(sagemaker.KMeans method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.NTM method)
(sagemaker.PCA method)
(sagemaker.RandomCutForest method)
repo_name (sagemaker.FactorizationMachines attribute)
(sagemaker.KMeans attribute)
(sagemaker.LDA attribute)
(sagemaker.LinearLearner attribute)
(sagemaker.NTM attribute)
(sagemaker.PCA attribute)
(sagemaker.RandomCutForest attribute)
repo_version (sagemaker.FactorizationMachines attribute)
(sagemaker.KMeans attribute)
(sagemaker.LDA attribute)
(sagemaker.LinearLearner attribute)
(sagemaker.NTM attribute)
(sagemaker.PCA attribute)
(sagemaker.RandomCutForest attribute)
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)
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)
train() (sagemaker.session.Session method)
train_image() (sagemaker.amazon.amazon_estimator.AmazonAlgorithmEstimatorBase method)
(sagemaker.FactorizationMachines method)
(sagemaker.KMeans method)
(sagemaker.LDA method)
(sagemaker.LinearLearner method)
(sagemaker.NTM method)
(sagemaker.PCA method)
(sagemaker.RandomCutForest method)
(sagemaker.estimator.Estimator method)
(sagemaker.mxnet.estimator.MXNet method)
(sagemaker.tensorflow.estimator.TensorFlow method)
training_job_analytics (sagemaker.estimator.Estimator attribute)
(sagemaker.FactorizationMachines attribute)
(sagemaker.KMeans attribute)
(sagemaker.LDA attribute)
(sagemaker.LinearLearner attribute)
(sagemaker.NTM attribute)
(sagemaker.PCA attribute)
(sagemaker.RandomCutForest attribute)
training_job_summaries() (sagemaker.analytics.HyperparameterTuningJobAnalytics method)
TrainingJobAnalytics (class in sagemaker.analytics)
tune() (sagemaker.session.Session method)
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)
upload_data() (sagemaker.session.Session method)
W
wait() (sagemaker.tuner.HyperparameterTuner method)
wait_for_endpoint() (sagemaker.session.Session method)
wait_for_job() (sagemaker.session.Session method)
wait_for_tuning_job() (sagemaker.session.Session method)
WAIT_IN_PROGRESS (sagemaker.session.LogState attribute)
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v: v1.5.0
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