AutoML | AutoML Class |
AutoMLInput | Accepts parameters that specify an S3 input for an auto ml... |
AutoMLJob | AutoMLJob class |
CandidateEstimator | CandidateEstimator Class |
CandidateStep | CandidateStep Class |
Chainer | Chainer Class |
ChainerModel | ChainerModel Class |
ChainerPredictor | A Predictor for inference against Chainer Endpoints. |
dot-SparkProcessorBase | Handles Amazon SageMaker processing tasks for jobs using... |
FactorizationMachines | A supervised learning algorithm used in classification and... |
FactorizationMachinesModel | Amazon FactorizationMachinesModel Class |
FactorizationMachinesPredictor | Performs binary-classification or regression prediction from... |
HuggingFace | HuggingFace estimator class |
HuggingFaceModel | HuggingFaceModel Class |
HuggingFacePredictor | A Predictor for inference against Hugging Face Endpoints. |
HuggingFaceProcessor | HuggingFaceProcessor class |
IPInsights | An unsupervised learning algorithm that learns the usage... |
IPInsightsModel | Reference IPInsights s3 model data. |
IPInsightsPredictor | Returns dot product of entity and IP address embeddings as a... |
KMeans | An unsupervised learning algorithm that attempts to find... |
KMeansModel | Reference KMeans s3 model data. |
KMeansPredictor | Assigns input vectors to their closest cluster in a KMeans... |
KNN | An index-based algorithm. It uses a non-parametric method for... |
KNNModel | Reference S3 model data created by KNN estimator. |
KNNPredictor | Performs classification or regression prediction from input... |
LDA | An unsupervised learning algorithm attempting to describe... |
LDAModel | Reference LDA s3 model data created by LDA estimator. |
LDAPredictor | Transforms input vectors to lower-dimesional representations. |
LinearLearner | A supervised learning algorithms used for solving... |
LinearLearnerModel | Reference LinearLearner s3 model data. |
LinearLearnerPredictor | Performs binary-classification or regression prediction from... |
MXNet | MXNet Class |
MXNetModel | MXNetModel Class |
MXNetPredictor | MXNetPredictor Class |
MXNetProcessor | MXNetProcessor class |
NTM | An unsupervised learning algorithm used to organize a corpus... |
NTMModel | Reference NTM s3 model data. |
NTMPredictor | Transforms input vectors to lower-dimesional representations. |
Object2Vec | A general-purpose neural embedding algorithm that is highly... |
Object2VecModel | Reference Object2Vec s3 model data. |
PCA | An unsupervised machine learning algorithm to reduce feature... |
PCAModel | Reference PCA s3 model data. |
PCAPredictor | Transforms input vectors to lower-dimesional representations. |
PySparkProcessor | PySparkProcessor Class |
PyTorch | PyTorch Class |
PyTorchModel | PyTorchModel class |
PyTorchPredictor | A Predictor for inference against PyTorch Endpoints. |
PyTorchProcessor | PyTorchProcessor class |
RandomCutForest | An unsupervised algorithm for detecting anomalous data points... |
RandomCutForestModel | Reference RandomCutForest s3 model data. |
RandomCutForestPredictor | Assigns an anomaly score to each of the datapoints provided. |
RLEstimator | RLEstimator Class |
RLFramework | RLFramework enum environment list |
RLToolkit | RLToolkit enum environment list |
sagemaker.mlframework-package | r6 sagemaker: this is just a placeholder |
SKLearn | Scikit-learn Class |
SKLearnModel | SKLearnModel Class |
SKLearnPredictor | A Predictor for inference against Scikit-learn Endpoints. |
SKLearnProcessor | SKLearnProcessor Class |
SparkJarProcessor | SparkJarProcessor Class |
SparkMLModel | SparkMLModel class |
SparkMLPredictor | Performs predictions against an MLeap serialized SparkML... |
TensorFlow | TensorFlow Class |
TensorFlowModel | TensorFlowModel Class |
TensorFlowPredictor | TensorFlowPredictor Class |
TensorFlowProcessor | TensorFlowProcessor Class |
XGBoost | XGBoost Class |
XGBoostModel | XGBoostModel Class |
XGBoostPredictor | XGBoostPredictor Class |
XGBoostProcessor | XGBoostProcessor class |
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