cloudml

Solve ML problems as a web service

• POST /models => create a model
• GET /models/:id => get the statistics on a model
• POST /models/:id/datum => send a data point
• POST /models/:id/data => send multiple data points
• POST /models/:id/learn => train the model
• POST /models/:id/predict => evaluate on a data point

Types of models (all regression):

• "logistic"
• "linear"
• "poisson" (later?)

POST /models

{
  "id": "xxx",
  "type": "logistic",
  "covariates": ["age", "gender", "age-gender"],
  "trained": false
}

GET /models/:id

{
  "id": "xxx",
  "type": "logistic",
  "coefficients": {
    "age": 2.52,
    "gender": 3.112,
    "age-gender": -0.91,
  },
  "training_error": "0.01",
  "regularization": "0.0001"
}

DELETE /models/:id

OK (deletes model and all data (?))

POST /models/:id/datum

{
  "id": "yyy",
  "value": 1,
  "covariates": {
    "age": 78,
    "gender": 1,
    "age-gender": 78
  }
}

POST /models/:id/data

POST /models/:id/learn

Responds as GET /models/:id, OR sends 200 and then has the user check GET /models/:id

POST /models/:id/predict

{
  "prediction": 0.23,
  "value": 0
}