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

Allow getting intermediate outputs #58

Closed
csala opened this issue Sep 24, 2018 · 0 comments · Fixed by #85
Closed

Allow getting intermediate outputs #58

csala opened this issue Sep 24, 2018 · 0 comments · Fixed by #85
Assignees
Milestone

Comments

@csala
Copy link
Contributor

csala commented Sep 24, 2018

Introduce a way to extract intermediate outputs from a Pipeline without having to rebuild it and refit it.

The functionality should be something along this lines:

primitives = ['a', 'b', 'c', 'd']
pipeline = MLPipeline(['a', 'b', 'c', 'd'])
pipeline.fit(train_X, train_y)
output_of_b = pipeline.predict(train_X, output_='b')
@csala csala added this to the 0.3.1 milestone Sep 25, 2018
@csala csala closed this as completed in #85 May 16, 2019
@csala csala self-assigned this Jul 8, 2019
gsheni pushed a commit that referenced this issue Aug 29, 2022
…olding

Issue 48 dynamic error thresholding
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

Successfully merging a pull request may close this issue.

1 participant