This documentation is for Machine Learner 1.0.0. View documentation for the latest release.
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The following are the REST APIs that are implemented in WSO2 Machine Learner.

EntityOperationREST API
DatasetUpload a datasetPOST/api/datasets
Retrieve all datasetsGET/api/datasets
Retrieve all version sets of a datasetGET/api/datasets/{dataset_id}/versions
Retrieve a version setGET/api/datasets/versions/{versionset_id}
ProjectCreate a project (with a dataset name)POST/api/projects
Retrieve a projectGET/api/projects/{name}
Delete a projectDELETE/api/projects/{name}
Retrieve all projectsGET/api/projects
Analysis (Workflow)Create a new analysisPOST/api/analyses
Delete an analysisDELETE/api/analyses/{name}
Retrieve all analysesGET/api/analyses
Set analysis configurations (e.g. algorithm type)POST/api/analyses/{id}/configurations
Set customized features for an analysisPOST/api/analyses/{id}/features
Load default features as customized featuresPOST/api/analyses/{id}/features/defaults
Set hyper parameters for the selected algorithm of an analysisPOST/api/analyses/{id}/hyperParams
Load default hyper parameters for the selected algorithm of an analysisPOST/api/analyses/{id}/hyperParams/defaults
ModelCreate a modelPOST/API/models
Retrieve a modelGET/api/models/{name}
Retrieve all modelsGET/api/models
Add model storage informationPOST/api/models/{id}/storages
Build a modelPOST/api//models/{id}
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