sagemaker
v1.3.0
Estimators
Predictors
Session
Model
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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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)
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)
B
boto_region_name (sagemaker.session.Session attribute)
C
COMPLETE (sagemaker.session.LogState attribute)
config (sagemaker.session.s3_input attribute)
container_def() (in module sagemaker.session)
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)
default_bucket() (sagemaker.session.Session method)
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.session.Session 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)
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)
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)
G
get_caller_identity_arn() (sagemaker.session.Session method)
get_execution_role() (in module sagemaker.session)
H
huber_delta (sagemaker.LinearLearner attribute)
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)
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
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)
Session (class in sagemaker.session)
set_hyperparameters() (sagemaker.estimator.Estimator method)
STARTING (sagemaker.session.LogState attribute)
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)
U
unbias_data (sagemaker.LinearLearner attribute)
unbias_label (sagemaker.LinearLearner attribute)
upload_data() (sagemaker.session.Session method)
W
wait_for_endpoint() (sagemaker.session.Session method)
wait_for_job() (sagemaker.session.Session method)
WAIT_IN_PROGRESS (sagemaker.session.LogState attribute)
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