AttributeError: 'function' object has no attribute 'train_dialogue_model'

[rajasingam7]

hi Sumit,
Thanks for the wonderful book. It really help us to get confident in working chatbot.

I have an issue during execution of train_online.py. "AttributeError: 'function' object has no attribute 'train_dialogue_model'". I have browsed and found that train_dailogue_model function is no more in use.

Initially i had an issue from rasa_core.training import online and i have changed to from rasa_core.training import interactive and executed the script and encounter this error. Kindly help me on this.

Version : 1.0.0rc2

Error:
C:\Users\HP\horoscope_bot>python train_online.py
2019-08-18 10:11:22.030464: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
WARNING:tensorflow:From C:\Users\HP\Anaconda3\lib\site-packages\tensorflow\python\training\saver.py:1266: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.
Instructions for updating:
Use standard file APIs to check for files with this prefix.
2019-08-18 10:11:22 WARNING tensorflow - From C:\Users\HP\Anaconda3\lib\site-packages\tensorflow\python\training\saver.py:1266: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.
Instructions for updating:
Use standard file APIs to check for files with this prefix.
INFO:tensorflow:Restoring parameters from ./models/nlu/default/horoscopebot\component_5_EmbeddingIntentClassifier.ckpt
2019-08-18 10:11:22 INFO tensorflow - Restoring parameters from ./models/nlu/default/horoscopebot\component_5_EmbeddingIntentClassifier.ckpt
Traceback (most recent call last):
File "train_online.py", line 32, in
agent = train_agent(interpreter)
File "train_online.py", line 16, in train_agent
return train.train_dialogue_model(domain_file="horoscope_domain.yml",
AttributeError: 'function' object has no attribute 'train_dialogue_model'

Code:

from future import absolute_import
from future import division
from future import print_function
from future import unicode_literals

import logging

from rasa_core import utils, train
from rasa_core.training import interactive
from rasa_core.interpreter import NaturalLanguageInterpreter

logger = logging.getLogger(name)

def train_agent(interpreter):
return train.train_dialogue_model(domain_file="horoscope_domain.yml",
stories_file="./data/stories.md",
output_path="./models/dialogue",
nlu_model_path=interpreter,
endpoints="endpoints.yml",
max_history=2,
kwargs={"batch_size": 50,
"epochs": 200,
"max_training_samples": 300
})

if name == 'main':
utils.configure_colored_logging(loglevel="DEBUG")
nlu_model_path = "./models/nlu/default/horoscopebot"
interpreter = NaturalLanguageInterpreter.create(nlu_model_path)
agent = train_agent(interpreter)
interactive.serve_agent(agent)

[jeruji]

have you found the solution of this?? @rajasingam7