Load two models from one interpreter?

Rasa Open Source
1

i want to load two separate models with one interpreter . I have already trained models and kept them in two different directories now what i want is to load bith the models at once Thanks in advance

2

What kind of models? And which Rasa version are you using?

3

I am using rasa-nlu==0.15.1 I am training the bot using rasa with pipeline space_sklearn through python I am training the bot

import spacy #nlp=spacy.load(‘en’) import subprocess from rasa_nlu.training_data import load_data from rasa_nlu.config import RasaNLUModelConfig from rasa_nlu.model import Trainer from rasa_nlu import config from rasa_nlu.model import Metadata, Interpreter import time training_data=load_data(“data/dt/geo_train.json”)

#config backend using spacy and sklearn trainer= Trainer(config.load(“config_spacy.yml”))

print (“time.ctime() : %s” % time.ctime())

trainer.train(training_data)

print (“time.ctime() : %s” % time.ctime())

#directory to store our model model_directory= trainer.persist("./projects/")

#making predictions owth the model interpreter= Interpreter.load(model_directory)

see my code

and what I want is I will train two different models and interpreter should give the prediction from both the models

4

that’s not possible. You can load up multiple models into memory with the projects feature, but they won’t make predictions at the same time