Comments (4)
The skill resolution depends on the confidence provided by the classifiers in a given topic. So ultimately, the accuracy of skill resolution depends on how good the underlying classifier is.
Are you using the built in classifiers? They should only be used for trivial tasks and mostly for development purposes. I'd suggest using extensions like talkify-watson-classifer to use something more complex and accurate like IBM Watson.
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Also @newmips, it'd help if you could provide the input, output and expected output of what you're trying to do.
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Hey @newmips do you still have this problem?
from talkify.
Hi,
We have unfortunately been obliged to remove talkify module from our source code because it was not working as we were expecting. We have never found the origin of the issue.
This being, I have seen that you have modified the version of talkify-natural-classifier recently.
So, as soon as we can (means december or january), we will try to test it and see if we still have this issue. I will let you know... And that time, I will give you access to the code if we encounter same kind of issue :-)
++
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Related Issues (20)
- Add simple tutorial
- When using trainAll finished function should be optional HOT 2
- Add filters HOT 2
- Add extractors
- Raise error immediately when any of the parameters for resolve method are undefined
- Types for binding static text responses to topics
- Type for binding topics to random response from a list of response
- Wrap default classifier into an abstract implementation HOT 1
- Multi-sentence queries don't work properly when sentences are all lower case
- Enable single-sentence query mode HOT 1
- undefined topic for skills does not work when confidence resolution for skill fails
- Move to event driven architecture
- Support for non-English locales HOT 2
- Support for multiple classifiers
- Allow classifiers to supply extra information to skills HOT 5
- Support array input for terms in TrainingDocument HOT 2
- Accept single message object with callback as optional argument for resolve method.
- when bot dont have an response for that
- Feature req: Please integrate apipie.ai
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