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