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Add LogisticRegression as a replacement for SKlearnIntentClassifier

See original GitHub issue

What problem are you trying to solve?

The current implementation for the SklearnIntentClassifier is a bit of an anti-pattern. It does a grid-search internally and it can only use the dense features in the Rasa pipeline. If we want to have an alternative to benchmark DIET, we may want to introduce another method.

What’s your suggested solution?

My proposal here is to replace it with a simple logistic regression classifier. This should train faster and it’s also very lightweight.

Examples (if relevant)

There’s an implementation in rasa nlu examples that we could go ahead and port.

Is anything blocking this from being implemented? (if relevant)

No response

Definition of Done

We should make sure that:

the logistic regression gets a proper review
we also consider how we want to deprecate the original sklearn classifier

Issue Analytics

State:
Created 2 years ago
Comments:6 (5 by maintainers)

Top GitHub Comments

1reaction

dakshvar22commented, Mar 17, 2022

Exalate commented:

dakshvar22 commented:

All the datasets on which we run model regression tests

0reactions

sync-by-unito[bot]commented, Dec 16, 2022

➤ Maxime Verger commented:

💡 Heads up! We’re moving issues to Jira: https://rasa-open-source.atlassian.net/browse/OSS.

From now on, this Jira board is the place where you can browse (without an account) and create issues (you’ll need a free Jira account for that). This GitHub issue has already been migrated to Jira and will be closed on January 9th, 2023. Do not forget to subscribe to the corresponding Jira issue!

➡️ More information in the forum: https://forum.rasa.com/t/migration-of-rasa-oss-issues-to-jira/56569.

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