Ran training, but it finished without a trained model

Rasa Open Source
1

Hi, i’m trying to train rasa with api based on this example https://rasa.com/docs/rasa/pages/http-api#operation/trainModel

every time i’m getting response like this

image
image1528×207 12.6 KB

is there any way to train rasa model through api with out configuring in server side?

2

It looks like rasa doesn’t find the training data. Do you use the default project setup? What are the outputs of rasa --version and rasa data validate?

3

I’m passing data though api,

{
  "domain": "<domain config>",
  "nlu": "- intent: greet\n  examples: |\n    - hey\n    - hello\n    - hi\n\n- intent: goodbye\n  examples: |\n    - bye\n    - goodbye\n    - have a nice day\n    - see you\n\n- intent: affirm\n  examples: |\n    - yes\n    - indeed\n\n- intent: deny\n  examples: |\n    - no\n    - never\n\n- intent: mood_great\n  examples: |\n    - perfect\n    - very good\n    - great\n\n- intent: mood_unhappy\n  examples: |\n    - sad\n    - not good\n    - unhappy",
  "responses": "",
  "stories": "-",
  "force": false,
  "save_to_default_model_directory": true
}

and outputs

rasa --version
Rasa Version      :         2.6.3
Minimum Compatible Version: 2.6.0
Rasa SDK Version  :         2.6.0
Rasa X Version    :         None
Python Version    :         3.8.8
Operating System  :         Windows-10-10.0.19041-SP0
Python Path       :         c:\users\usha\anaconda3\python.exe
4

Hi @kiranreddy, when you hit the API with the --debug flag enabled in the Rasa server, what do the logs show?

5

Hi @b-quachtran,

Add version of rasa at start each file like stories, nlu, rule, domain

For example:

version: “2.0”

I hope this will help you.