@minakshimathpal can you please try this pipeline once and train your model using rasa train
. Post successful training please use rasa shell nlu
and paste the output here.
- name: SpacyNLP
model: "en_core_web_md"
case_sensitive: False
- name: SpacyTokenizer
- name: SpacyFeaturizer
- name: RegexFeaturizer
- name: LexicalSyntacticFeaturizer
- name: CountVectorsFeaturizer
- name: CountVectorsFeaturizer
analyzer: "char_wb"
min_ngram: 1
max_ngram: 4
- name: DIETClassifier
epochs: 150
constrain_similarities: True
entity_recognition: False
- name: RegexEntityExtractor
use_lookup_tables: True
use_regexes: True
- name: EntitySynonymMapper
- name: ResponseSelector
epochs: 100
constrain_similarities: True
- name: FallbackClassifier
threshold: 0.3
ambiguity_threshold: 0.1