DELETE api/model/{modelname}
        Example:  DELETE api/model/NearestNeighborsClassification
        Deletes the origin, a version, a fitted model and a model instance of the NearestNeighborsClassification model.
        
          
{
    "DeletedModels": [
        {
            "ModelId": "2590+NearestNeighborsClassification+2020-05-22-20-12-12-
             800790",
            "ModelName": "NearestNeighborsClassification",
            "ModelDescr": "classification: k nearest neighbors; scoring example JSONCl
             assifier.json uses exported fitted model, knncModel, to score new data.",
            "ModelFiles": [
                {
                    "fileName": "hald-small-binary-train.txt",
                    "isOnServer": false
                },
                {
                    "fileName": "hald-small-binary-valid.txt",
                    "isOnServer": false
                },
                {
                    "fileName": "classification-nearest-neighbors.xml",
                    "isOnServer": false
                },
                {
                    "fileName": "classification-nearest-neighbors.json",
                    "isOnServer": false
                }
            ],
            "RuntimeToken": "",
            "ModelType": "Origin",
            "ModelKind": "Rason",
            "IsChampion": false,
            "ParentModelId": null,
            "QueryString": ""
        },
        {
            "ModelId": "2590+NearestNeighborsClassification+2020-05-22-20-12-20-    
             473765",
            "ModelName": "NearestNeighborsClassification",
            "ModelDescr": "classification: k nearest neighbors; scoring example JSONCl
            assifier.json uses exported fitted model, knncModel, to score new data.",
            "ModelFiles": [
                {
                    "fileName": "hald-small-binary-train.txt",
                    "isOnServer": false
                },
                {
                    "fileName": "hald-small-binary-valid.txt",
                    "isOnServer": false
                },
                {
                    "fileName": "classification-nearest-neighbors.xml",
                    "isOnServer": false
                },
                {
                    "fileName": "classification-nearest-neighbors.json",
                    "isOnServer": false
                }
            ],
            "RuntimeToken": "",
            "ModelType": "Instance",
            "ModelKind": "Rason",
            "IsChampion": false,
            "ParentModelId": "2590+NearestNeighborsClassification+2020-05-22-20-12-12-
            800790",
            "QueryString": "response-format=STANDALONE"
        },
        {
            "ModelId": "2590+NearestNeighborsClassification+2020-05-26-19-37-54-
             664126",
            "ModelName": "NearestNeighborsClassification",
            "ModelDescr": "classification: k nearest neighbors; scoring example JSONCl
             assifier.json uses exported fitted model, knncModel, to score new data.",
            "ModelFiles": [
                {
                    "fileName": "hald-small-binary-train.txt",
                    "isOnServer": false
                },
                {
                    "fileName": "hald-small-binary-valid.txt",
                    "isOnServer": false
                },
                {
                    "fileName": "classification-nearest-neighbors.xml",
                    "isOnServer": false
                },
                {
                    "fileName": "classification-nearest-neighbors.json",
                    "isOnServer": false
                }
            ],
            "RuntimeToken": "",
            "ModelType": "Version",
            "ModelKind": "Rason",
            "IsChampion": false,
            "ParentModelId": "2590+NearestNeighborsClassification+2020-05-22-20-12-12-
             800790",
            "QueryString": ""
        },
        {
            "ModelId": "2590+fitted-myjsonsrc+2020-05-28-20-56-05-705194",
            "ModelName": "fitted-myjsonsrc",
            "ModelDescr": "classification-logistic-model.json",
            "ModelFiles": [],
            "RuntimeToken": "",
            "ModelType": "Origin",
            "ModelKind": "Fitted",
            "IsChampion": false,
            "ParentModelId": "2590+NearestNeighborsClassification+2020-05-22-20-12-12-
             800790",
            "QueryString": ""
        }
    ],
    "NotDeletedModels": [],
    "invalidModels": [],
    "status": "OK"
}
          
        
      
      
        DELETE api/model/{fittedname}
        Example:  DELETE api/model/fitted-myjsonsrc
        
          
            {
            "DeletedModels": [
            {
            "ModelId": "2590+fitted-myjsonsrc+2020-05-22-20-27-55-492264",
            "ModelName": "fitted-myjsonsrc",
            "ModelDescr": "classification-lda-model.json",
            "ModelFiles": [],
            "RuntimeToken": "",
            "ModelType": "Origin",
            "ModelKind": "Fitted",
            "IsChampion": false,
            "ParentModelId": "2590+DiscriminantAnalysis1+2020-05-22-20-27-53-212764",
            "QueryString": ""
            },
            {
            "ModelId": "2590+fitted-myjsonsrc+2020-05-22-20-29-45-743664",
            "ModelName": "fitted-myjsonsrc",
            "ModelDescr": "regression-bagging.json",
            "ModelFiles": [],
            "RuntimeToken": "",
            "ModelType": "Origin",
            "ModelKind": "Fitted",
            "IsChampion": false,
            "ParentModelId": "2590+BaggingRegression+2020-05-22-20-29-43-843501",
            "QueryString": ""
            }
            ],
            "NotDeletedModels": [],
            "invalidModels": [],
            "status": "OK"
            }
          
        
      
      
        DELETE api/model/{id}
        Example:  DELETE api/model/2590+2020-05-22-20-37-05-032407
        
          
  {
    "DeletedModels": [
        {
            "ModelId": "2590+2020-05-22-20-37-05-032407",
            "ModelName": "",
            "ModelDescr": "DF that partitions a dataset into three partitions, rescale
             s the partitions and runs MLR",
            "ModelFiles": [
                {
                    "fileName": "hald-small.txt",
                    "isOnServer": false
                },
                {
                    "fileName": "hald-small-unlabeled.txt",
                    "isOnServer": false
                }
            ],
            "RuntimeToken": "",
            "ModelType": "Origin",
            "ModelKind": "Rason",
            "IsChampion": false,
            "ParentModelId": null,
            "QueryString": ""
        }
    ],
    "NotDeletedModels": [],
    "invalidModels": [],
    "status": "OK"
  }