code: def POST(self, name):
      
      global g_models
  
      data = json.loads(web.data())
      modelParams = data["modelParams"]
      predictedFieldName = data["predictedFieldName"]
  
      if name in g_models.keys():
        raise web.badrequest("Model with name <%s> already exists" % name)
  
      model = ModelFactory.create(modelParams)
      model.enableInference({'predictedField': predictedFieldName})
      g_models[name] = model
  
      return json.dumps({"success": name})
docs: /models/{name}
  
      schema:
      {
        "modelParams": dict containing model parameters
        "predictedFieldName": str
      }
  
      returns:
      {"success":name}