Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

LUIS training data not found #3853

Closed
wochinge opened this issue Jun 24, 2019 · 0 comments · Fixed by #3866
Closed

LUIS training data not found #3853

wochinge opened this issue Jun 24, 2019 · 0 comments · Fixed by #3866
Assignees
Labels
area:rasa-oss 🎡 Anything related to the open source Rasa framework type:bug 🐛 Inconsistencies or issues which will cause an issue or problem for users or implementors. type:maintenance 🔧 Improvements to tooling, testing, deployments, infrastructure, code style.

Comments

@wochinge
Copy link
Contributor

Based on: https://stackoverflow.com/questions/56726192/unable-to-train-luis-model-in-rasa-nlu

Problem:
When Rasa is trained it uses the function rasa/data.py::_is_nlu_file to check whether a file in the directory is actually a NLU file. The function _is_nlu_file currently only works for rasa data, but not for other formats (such das LUIS).

@wochinge wochinge added type:bug 🐛 Inconsistencies or issues which will cause an issue or problem for users or implementors. type:maintenance 🔧 Improvements to tooling, testing, deployments, infrastructure, code style. labels Jun 24, 2019
@tmbo tmbo added the area:rasa-oss 🎡 Anything related to the open source Rasa framework label Jun 24, 2019
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
area:rasa-oss 🎡 Anything related to the open source Rasa framework type:bug 🐛 Inconsistencies or issues which will cause an issue or problem for users or implementors. type:maintenance 🔧 Improvements to tooling, testing, deployments, infrastructure, code style.
Projects
None yet
Development

Successfully merging a pull request may close this issue.

3 participants