So I’m trying to train my data using supervised embeddings pipeline.
Rasa version: 1.10.12
Tensorflow version: 2.1.1
Rasa NLU: 0.15.1
config.yml contains this:
language: “en”
pipeline: “supervised_embeddings”
I’m running this on a notebook, but I keep on getting an error about tensorflow:
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
#Loading DataSet
train_data = load_data(my_data)
#Config Backend: Supervised embeddings
trainer = Trainer(config.load('drive/Colab Notebooks/config.yml'))
trainer.train(train_data)
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-14-1a55633df253> in <module>()
----> 1 trainer.train(train_data)
1 frames
/usr/local/lib/python3.6/dist-packages/rasa_nlu/classifiers/embedding_intent_classifier.py in train(self, training_data, cfg, **kwargs)
518 # set random seed
519 np.random.seed(self.random_seed)
--> 520 tf.set_random_seed(self.random_seed)
521
522 self.a_in = tf.placeholder(tf.float32, (None, X.shape[-1]),
AttributeError: module 'tensorflow' has no attribute 'set_random_seed'
From what I found on other forums about this error type, tf.set_random_seed(self._seed) needs to be moved to tf.random.set_seed() but in this case I can't access /usr/local/lib/python3.6/dist-packages/rasa_nlu/classifiers/embedding_intent_classifier.py and change it.
Any ideas on how to fix this?
Thank you,
Solution: I used !pip install rasa==1.1.4 instead of !pip install rasa since supervised_embeddings pipeline has been deprecated on the newer versions of RASA.