👋 Introducing the Rasa Playground

Rasa with spaCy

You have selected 0 posts.

554 views

post by faupotron on Feb 8, 2022

Hello! I have a problem and need help. Rasa 2.8 with spaCy 3.2.0 give a low confidence of intents or mistake in definition of intents For example:

• intent greed: confidence 0.24
• intent stop: confidence 0.14 Othes are mistake.

My config.yml, NLU section:

pipeline:
  - name: SpacyNLP
    model: "ru_core_news_lg"
  - name: SpacyTokenizer
  - name: SpacyEntityExtractor
  - name: SpacyFeaturizer
    pooling: mean
  - name: EntitySynonymMapper
  - name: SklearnIntentClassifier
    C: [1, 2, 5, 10, 20, 100]
    kernels: ["linear"]
    "gamma": [0.1]
    "max_cross_validation_folds": 5
    "scoring_function": "f1_weighted"

What I can chenge for high confidence in definition of intents? Please, help

554 views

post by ChrisRahme on Feb 8, 2022

Do you mind trying the default pipeline (just for now)?

22 days later

post by faupotron on Mar 3, 2022

@ChrisRahme, I tryed Spacy with DIET Classifier (without SKlearnIntentClassifier) and it have worked Thank you

post by ChrisRahme on Mar 3, 2022

Glad to know