Policy Predictions for End-to-End #7136
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| from unittest.mock import Mock, patch | ||
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| import numpy as np | ||
| import pytest | ||
| from _pytest.monkeypatch import MonkeyPatch |
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sorry, typing got a bit out of hand here 🙈
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I'll have an engineer review this as soon as you're ok with the changes in general @Ghostvv |
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part of #6670 |
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wochinge
requested review from
a team,
kalkbrennerei,
degiz and
Ghostvv
and removed request for
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kalkbrennerei
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@degiz Do you have time? It looks bigger than it is. Mostly typing and renames. |
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@wochinge can review that tomorrow in the morning, would it be fine? |
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Sure, absolutely no rush! |
| @staticmethod | ||
| def is_not_memo_policy( | ||
| policy_name: Text, max_confidence: Optional[float] = None | ||
| policy_name: Optional[Text], max_confidence: Optional[float] = None |
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Should the default value of max_confidence be 0.0?
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No as this would otherwise evaluate to True for the call here
rasa/core/policies/ensemble.py
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| ) -> bool: | ||
| """Checks if the policy is the `MemoizationPolicy` or one of its subclasses. |
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That's not exactly what it's doing right? There's also a check of max_confidence argument.
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re-named the function and changed the docstring. Better?
Co-authored-by: Alexander Khizov <[email protected]>
Proposed changes:
Policys now return aPolicyPredictionobject instead of the plain probabilities. This allows us to return multiple pieces after a prediction. This is not only useful for this PR but also for this PRPolicyEnsemblenow returns aPolicyPredictionobject instead ofTuple[probabilities, policy_name]. The reason is the same for the change in thePolicyinterface: This allows us to encapsulate more information and pass this up to theMessageProcessortest_policiesmodulepredict_next_with_trackerto avoid having to reimplement some predict logic withinserverfollowup_actionStatus (please check what you already did):
black(please check Readme for instructions)