Man pages for DyfanJones/sagemaker-r-mlframework
sagemaker machine learning developed by amazon

AutoMLAutoML Class
AutoMLInputAccepts parameters that specify an S3 input for an auto ml...
AutoMLJobAutoMLJob class
CandidateEstimatorCandidateEstimator Class
CandidateStepCandidateStep Class
ChainerChainer Class
ChainerModelChainerModel Class
ChainerPredictorA Predictor for inference against Chainer Endpoints.
dot-SparkProcessorBaseHandles Amazon SageMaker processing tasks for jobs using...
FactorizationMachinesA supervised learning algorithm used in classification and...
FactorizationMachinesModelAmazon FactorizationMachinesModel Class
FactorizationMachinesPredictorPerforms binary-classification or regression prediction from...
HuggingFaceHuggingFace estimator class
HuggingFaceModelHuggingFaceModel Class
HuggingFacePredictorA Predictor for inference against Hugging Face Endpoints.
HuggingFaceProcessorHuggingFaceProcessor class
IPInsightsAn unsupervised learning algorithm that learns the usage...
IPInsightsModelReference IPInsights s3 model data.
IPInsightsPredictorReturns dot product of entity and IP address embeddings as a...
KMeansAn unsupervised learning algorithm that attempts to find...
KMeansModelReference KMeans s3 model data.
KMeansPredictorAssigns input vectors to their closest cluster in a KMeans...
KNNAn index-based algorithm. It uses a non-parametric method for...
KNNModelReference S3 model data created by KNN estimator.
KNNPredictorPerforms classification or regression prediction from input...
LDAAn unsupervised learning algorithm attempting to describe...
LDAModelReference LDA s3 model data created by LDA estimator.
LDAPredictorTransforms input vectors to lower-dimesional representations.
LinearLearnerA supervised learning algorithms used for solving...
LinearLearnerModelReference LinearLearner s3 model data.
LinearLearnerPredictorPerforms binary-classification or regression prediction from...
MXNetMXNet Class
MXNetModelMXNetModel Class
MXNetPredictorMXNetPredictor Class
MXNetProcessorMXNetProcessor class
NTMAn unsupervised learning algorithm used to organize a corpus...
NTMModelReference NTM s3 model data.
NTMPredictorTransforms input vectors to lower-dimesional representations.
Object2VecA general-purpose neural embedding algorithm that is highly...
Object2VecModelReference Object2Vec s3 model data.
PCAAn unsupervised machine learning algorithm to reduce feature...
PCAModelReference PCA s3 model data.
PCAPredictorTransforms input vectors to lower-dimesional representations.
PySparkProcessorPySparkProcessor Class
PyTorchPyTorch Class
PyTorchModelPyTorchModel class
PyTorchPredictorA Predictor for inference against PyTorch Endpoints.
PyTorchProcessorPyTorchProcessor class
RandomCutForestAn unsupervised algorithm for detecting anomalous data points...
RandomCutForestModelReference RandomCutForest s3 model data.
RandomCutForestPredictorAssigns an anomaly score to each of the datapoints provided.
RLEstimatorRLEstimator Class
RLFrameworkRLFramework enum environment list
RLToolkitRLToolkit enum environment list
sagemaker.mlframework-packager6 sagemaker: this is just a placeholder
SKLearnScikit-learn Class
SKLearnModelSKLearnModel Class
SKLearnPredictorA Predictor for inference against Scikit-learn Endpoints.
SKLearnProcessorSKLearnProcessor Class
SparkJarProcessorSparkJarProcessor Class
SparkMLModelSparkMLModel class
SparkMLPredictorPerforms predictions against an MLeap serialized SparkML...
TensorFlowTensorFlow Class
TensorFlowModelTensorFlowModel Class
TensorFlowPredictorTensorFlowPredictor Class
TensorFlowProcessorTensorFlowProcessor Class
XGBoostXGBoost Class
XGBoostModelXGBoostModel Class
XGBoostPredictorXGBoostPredictor Class
XGBoostProcessorXGBoostProcessor class
DyfanJones/sagemaker-r-mlframework documentation built on March 18, 2022, 7:41 a.m.