rasa 2.3.4

on Python PyPI

Bugfixes

• #8014: Setting model_confidence=cosine in DIETClassifier, ResponseSelector and TEDPolicy is deprecated and will no longer be available. This was introduced in Rasa Open Source version 2.3.0 but post-release experiments suggest that using cosine similarity as model's confidences can change the ranking of predicted labels which is wrong.

  model_confidence=inner is deprecated and is replaced by model_confidence=linear_norm as the former produced an unbounded range of confidences which broke the logic of assistants in various other places.

  We encourage you to try model_confidence=linear_norm which will produce a linearly normalized version of dot product similarities with each value in the range [0,1]. This can be done with the following config:

  - name: DIETClassifier
    model_confidence: linear_norm
    constrain_similarities: True

  This should ease up tuning fallback thresholds as confidences for wrong predictions are better distributed across the range [0, 1].

  If you trained a model with model_confidence=cosine or model_confidence=inner setting using previous versions of Rasa Open Source, please re-train by either removing the model_confidence option from the configuration or setting it to linear_norm.

  model_confidence=cosine is removed from the configuration generated by auto-configuration.