Save Prediction

The save_prediction session, is an implementation that saves a supplied prediction result, into the applications database, via the /save-prediction endpoint:

• svm example
• svr example

Note: the content of each of the above examples, can be substituted for the data attribute, in a given POST request:

import requests

endpoint = 'https://192.168.99.101:9090/save-prediction'
headers = {
    'Authorization': 'Bearer ' + token,
    'Content-Type': 'application/json'
}

requests.post(endpoint, headers=headers, data=json_string_here)

Note: more information, regarding how to obtain a valid token, can be further reviewed, in the /login documentation.

The following properties define the above data attribute:

• status: provides the application utilizing this programmatic-api, an additional layer to perform conditional sanity checks, before storing the corresponding results:
  • valid: indication to proceed storing result into the database
• model_type: corresponds to the desired model type:
  • svm: pertains only to the support vector machine model type
  • svr: pertains only to the suppport vector regression model type
• title: desired name to assign the proposed prediction result.
• data:
  • result: the computed result of the prediction
  • classes: applies only to the svm prediction
  • probability: applies only to the svm prediction
  • decision_function: applies only to the svm prediction
  • r2: applies only to the svr prediction