Prediction API . training

delete(data)

Delete a trained model

Args:
  data: string, mybucket/mydata resource in Google Storage (required)

get(data)

Check training status of your model

Args:
  data: string, mybucket/mydata resource in Google Storage (required)

Returns:
  An object of the form:

    {
      "selfLink": "A String",
      "kind": "prediction#training",
      "trainingStatus": "A String",
      "id": "A String",
      "modelInfo": {
        "classificationAccuracy": 3.14,
        "meanSquaredError": 3.14,
        "modelType": "A String",
      },
    }

insert(body, data=None)

Begin training your model

Args:
  body: object, The request body. (required)
    The object takes the form of:

{
    "selfLink": "A String",
    "kind": "prediction#training",
    "trainingStatus": "A String",
    "id": "A String",
    "modelInfo": {
      "classificationAccuracy": 3.14,
      "meanSquaredError": 3.14,
      "modelType": "A String",
    },
  }

  data: string, mybucket/mydata resource in Google Storage

Returns:
  An object of the form:

    {
      "selfLink": "A String",
      "kind": "prediction#training",
      "trainingStatus": "A String",
      "id": "A String",
      "modelInfo": {
        "classificationAccuracy": 3.14,
        "meanSquaredError": 3.14,
        "modelType": "A String",
      },
    }

update(data, body)

Add new data to a trained model

Args:
  data: string, mybucket/mydata resource in Google Storage (required)
  body: object, The request body. (required)
    The object takes the form of:

{
    "classLabel": "A String", # The true class label of this instance
    "csvInstance": [ # The input features for this instance
      "",
    ],
  }


Returns:
  An object of the form:

    {
      "selfLink": "A String",
      "kind": "prediction#training",
      "trainingStatus": "A String",
      "id": "A String",
      "modelInfo": {
        "classificationAccuracy": 3.14,
        "meanSquaredError": 3.14,
        "modelType": "A String",
      },
    }