CovidBot-Telegram/rasa_trippy.log at master · RedaElmar/CovidBot-Telegram · GitHub

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DEBUG:rasa.nlu.training_data.loading:Training data format of './data/nlu.md' is 'md'.
DEBUG:rasa.nlu.training_data.training_data:Validating training data...
INFO:rasa.nlu.model:Starting to train component WhitespaceTokenizer
INFO:rasa.nlu.model:Finished training component.
INFO:rasa.nlu.model:Starting to train component RegexFeaturizer
INFO:rasa.nlu.model:Finished training component.
INFO:rasa.nlu.model:Starting to train component LexicalSyntacticFeaturizer
INFO:rasa.nlu.model:Finished training component.
INFO:rasa.nlu.model:Starting to train component CountVectorsFeaturizer
DEBUG:rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer:No text provided for response attribute in any messages of training data. Skipping training a CountVectorizer for it.
INFO:rasa.nlu.model:Finished training component.
INFO:rasa.nlu.model:Starting to train component CountVectorsFeaturizer
DEBUG:rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer:No text provided for response attribute in any messages of training data. Skipping training a CountVectorizer for it.
INFO:rasa.nlu.model:Finished training component.
INFO:rasa.nlu.model:Starting to train component DIETClassifier
DEBUG:rasa.utils.tensorflow.models:Building tensorflow train graph...
DEBUG:rasa.utils.tensorflow.models:Finished building tensorflow train graph.
INFO:rasa.utils.tensorflow.models:Finished training.
INFO:rasa.nlu.model:Finished training component.
INFO:rasa.nlu.model:Starting to train component EntitySynonymMapper
INFO:rasa.nlu.model:Finished training component.
INFO:rasa.nlu.model:Starting to train component ResponseSelector
INFO:rasa.nlu.selectors.response_selector:Retrieval intent parameter was left to its default value. This response selector will be trained on training examples combining all retrieval intents.
DEBUG:rasa.nlu.classifiers.diet_classifier:Cannot train 'ResponseSelector'. No data was provided. Skipping training of the classifier.
INFO:rasa.nlu.model:Finished training component.
INFO:rasa.nlu.model:Successfully saved model into 'C:\Users\HR\PycharmProjects\rasa-chatbot\models\nlu\current'
DEBUG:rasa.nlu.training_data.loading:Training data format of './data/nlu.md' is 'md'.
DEBUG:rasa.nlu.training_data.training_data:Validating training data...
INFO:rasa.nlu.model:Starting to train component WhitespaceTokenizer
INFO:rasa.nlu.model:Finished training component.
INFO:rasa.nlu.model:Starting to train component RegexFeaturizer
INFO:rasa.nlu.model:Finished training component.
INFO:rasa.nlu.model:Starting to train component LexicalSyntacticFeaturizer
INFO:rasa.nlu.model:Finished training component.
INFO:rasa.nlu.model:Starting to train component CountVectorsFeaturizer
DEBUG:rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer:No text provided for response attribute in any messages of training data. Skipping training a CountVectorizer for it.
INFO:rasa.nlu.model:Finished training component.
INFO:rasa.nlu.model:Starting to train component CountVectorsFeaturizer
DEBUG:rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer:No text provided for response attribute in any messages of training data. Skipping training a CountVectorizer for it.
INFO:rasa.nlu.model:Finished training component.
INFO:rasa.nlu.model:Starting to train component DIETClassifier
DEBUG:rasa.utils.tensorflow.models:Building tensorflow train graph...
DEBUG:rasa.utils.tensorflow.models:Finished building tensorflow train graph.
INFO:rasa.utils.tensorflow.models:Finished training.
INFO:rasa.nlu.model:Finished training component.
INFO:rasa.nlu.model:Starting to train component EntitySynonymMapper
INFO:rasa.nlu.model:Finished training component.
INFO:rasa.nlu.model:Starting to train component ResponseSelector
INFO:rasa.nlu.selectors.response_selector:Retrieval intent parameter was left to its default value. This response selector will be trained on training examples combining all retrieval intents.
DEBUG:rasa.nlu.classifiers.diet_classifier:Cannot train 'ResponseSelector'. No data was provided. Skipping training of the classifier.
INFO:rasa.nlu.model:Finished training component.
INFO:rasa.nlu.model:Successfully saved model into 'C:\Users\HR\PycharmProjects\rasa-chatbot\models\nlu\current'
DEBUG:rasa.utils.tensorflow.models:Loading the model ...
WARNING:tensorflow:From C:\ProgramData\Anaconda3\envs\rasa-chatbot\lib\site-packages\tensorflow_core\python\ops\array_grad.py:563: _EagerTensorBase.cpu (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.identity instead.
DEBUG:rasa.utils.tensorflow.models:Finished loading the model.
DEBUG:rasa.utils.tensorflow.models:Building tensorflow prediction graph...
DEBUG:rasa.utils.tensorflow.models:Finished building tensorflow prediction graph.
DEBUG:rasa.nlu.classifiers.diet_classifier:Failed to load model for 'ResponseSelector'. Maybe you did not provide enough training data and no model was trained or the path 'C:\Users\HR\PycharmProjects\rasa-chatbot\models\nlu\current' doesn't exist?
DEBUG:rasa.nlu.training_data.loading:Training data format of './data/nlu.md' is 'md'.
DEBUG:rasa.nlu.training_data.training_data:Validating training data...
INFO:rasa.nlu.model:Starting to train component WhitespaceTokenizer
INFO:rasa.nlu.model:Finished training component.
INFO:rasa.nlu.model:Starting to train component RegexFeaturizer
INFO:rasa.nlu.model:Finished training component.
INFO:rasa.nlu.model:Starting to train component LexicalSyntacticFeaturizer
INFO:rasa.nlu.model:Finished training component.
INFO:rasa.nlu.model:Starting to train component CountVectorsFeaturizer
DEBUG:rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer:No text provided for response attribute in any messages of training data. Skipping training a CountVectorizer for it.
INFO:rasa.nlu.model:Finished training component.
INFO:rasa.nlu.model:Starting to train component CountVectorsFeaturizer
DEBUG:rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer:No text provided for response attribute in any messages of training data. Skipping training a CountVectorizer for it.
INFO:rasa.nlu.model:Finished training component.
INFO:rasa.nlu.model:Starting to train component DIETClassifier
DEBUG:rasa.utils.tensorflow.models:Building tensorflow train graph...
DEBUG:rasa.utils.tensorflow.models:Finished building tensorflow train graph.
INFO:rasa.utils.tensorflow.models:Finished training.
INFO:rasa.nlu.model:Finished training component.
INFO:rasa.nlu.model:Starting to train component EntitySynonymMapper
INFO:rasa.nlu.model:Finished training component.
INFO:rasa.nlu.model:Starting to train component ResponseSelector
INFO:rasa.nlu.selectors.response_selector:Retrieval intent parameter was left to its default value. This response selector will be trained on training examples combining all retrieval intents.
DEBUG:rasa.nlu.classifiers.diet_classifier:Cannot train 'ResponseSelector'. No data was provided. Skipping training of the classifier.
INFO:rasa.nlu.model:Finished training component.
INFO:rasa.nlu.model:Successfully saved model into 'C:\Users\HR\PycharmProjects\rasa-chatbot\models\nlu\current'
DEBUG:rasa.utils.tensorflow.models:Loading the model ...
WARNING:tensorflow:From C:\ProgramData\Anaconda3\envs\rasa-chatbot\lib\site-packages\tensorflow_core\python\ops\array_grad.py:563: _EagerTensorBase.cpu (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.identity instead.
DEBUG:rasa.utils.tensorflow.models:Finished loading the model.
DEBUG:rasa.utils.tensorflow.models:Building tensorflow prediction graph...
DEBUG:rasa.utils.tensorflow.models:Finished building tensorflow prediction graph.
DEBUG:rasa.nlu.classifiers.diet_classifier:Failed to load model for 'ResponseSelector'. Maybe you did not provide enough training data and no model was trained or the path 'C:\Users\HR\PycharmProjects\rasa-chatbot\models\nlu\current' doesn't exist?
DEBUG:rasa.utils.tensorflow.models:Loading the model ...
WARNING:tensorflow:From C:\ProgramData\Anaconda3\envs\rasa-chatbot\lib\site-packages\tensorflow_core\python\ops\array_grad.py:563: _EagerTensorBase.cpu (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.identity instead.
DEBUG:rasa.utils.tensorflow.models:Finished loading the model.
DEBUG:rasa.utils.tensorflow.models:Building tensorflow prediction graph...
DEBUG:rasa.utils.tensorflow.models:Finished building tensorflow prediction graph.
DEBUG:rasa.nlu.classifiers.diet_classifier:Failed to load model for 'ResponseSelector'. Maybe you did not provide enough training data and no model was trained or the path 'C:\Users\HR\PycharmProjects\rasa-chatbot\models\nlu\current' doesn't exist?
DEBUG:rasa.utils.tensorflow.models:Loading the model ...
WARNING:tensorflow:From C:\ProgramData\Anaconda3\envs\rasa-chatbot\lib\site-packages\tensorflow_core\python\ops\array_grad.py:563: _EagerTensorBase.cpu (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.identity instead.
DEBUG:rasa.utils.tensorflow.models:Finished loading the model.
DEBUG:rasa.utils.tensorflow.models:Building tensorflow prediction graph...
DEBUG:rasa.utils.tensorflow.models:Finished building tensorflow prediction graph.
DEBUG:rasa.nlu.classifiers.diet_classifier:Failed to load model for 'ResponseSelector'. Maybe you did not provide enough training data and no model was trained or the path 'C:\Users\HR\PycharmProjects\rasa-chatbot\models\nlu\current' doesn't exist?
DEBUG:rasa.nlu.training_data.loading:Training data format of './data/nlu.md' is 'md'.
INFO:rasa.nlu.test:Running model for predictions:
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
DEBUG:rasa.nlu.classifiers.diet_classifier:There is no trained model for 'ResponseSelector': The component is either not trained or didn't receive enough training data.
DEBUG:rasa.nlu.selectors.response_selector:Adding following selector key to message property: default
INFO:rasa.nlu.test:Intent evaluation results:
INFO:rasa.nlu.test:Intent Evaluation: Only considering those 78 examples that have a defined intent out of 78 examples
INFO:rasa.nlu.test:F1-Score:  1.0
INFO:rasa.nlu.test:Precision: 1.0
INFO:rasa.nlu.test:Accuracy:  1.0
INFO:rasa.nlu.test:Classification report:
              precision    recall  f1-score   support

       lhajr       1.00      1.00      1.00         8
         dwa       1.00      1.00      1.00         8
       salam       1.00      1.00      1.00        11
       aarad       1.00      1.00      1.00         7
       halat       1.00      1.00      1.00         5
      himaya       1.00      1.00      1.00         3
     ntichar       1.00      1.00      1.00         3
         die       1.00      1.00      1.00         3
  definition       1.00      1.00      1.00        30

    accuracy                           1.00        78
   macro avg       1.00      1.00      1.00        78
weighted avg       1.00      1.00      1.00        78

INFO:rasa.nlu.test:Entity evaluation results:
INFO:rasa.nlu.test:Evaluation for entity extractor: DIETClassifier
WARNING:rasa.nlu.test:No labels to evaluate. Skip evaluation.