atlas_entity_process_ML.json

{
"jsonClass": "org.apache.atlas.typesystem.json.InstanceSerialization$_Reference",
    "id": {
        "jsonClass": "org.apache.atlas.typesystem.json.InstanceSerialization$_Id",
        "version": 0,
        "typeName": "ResearchPaperMachineLearning",
        "state": "ACTIVE"
    },
    "typeName": "ResearchPaperMachineLearning",
    "values": {
     "startTime" : "2017-03-26T20:20:13.675Z",
     "endTime" : "2017-03-26T20:27:23.675Z",
     "userName" : "hdpdev-edm-appuser-recom",
     "operationType" : "DecisionTreeAndRegression",
     "clusterName" : "turing",
     "queryGraph" : null,
     "inputs": [{
                  "jsonClass": "org.apache.atlas.typesystem.json.InstanceSerialization$_Id",
                  "id": "40dc03dc-16d6-4281-826d-c4884cd1dad5",
                  "version": 0,
                  "typeName": "ResearchPaperAccessDataset",
                  "state": "ACTIVE"
              }],
     "outputs": [{
                  "jsonClass": "org.apache.atlas.typesystem.json.InstanceSerialization$_Id",
                  "id": "43b6da13-31ee-4bbe-980e-84ed4b759f11",
                  "version": 0,
                  "typeName": "ResearchPaperRecommendationResults",
                  "state": "ACTIVE"
              }],
     "qualifiedName": "ResearchPaperMachineLearning.ML_Iteration567019",
     "name":"ML_Iteration567019",
     "description":"ML_Iteration567019 For GeoThermal DataSets",
     "owner": "EDM_RANDD"
     },
    "traitNames": [],
    "traits": {}
}