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

[Feature]: scikit-learn preprocessing module support #88

Closed
AHReccese opened this issue Apr 2, 2024 · 0 comments · Fixed by #104
Closed

[Feature]: scikit-learn preprocessing module support #88

AHReccese opened this issue Apr 2, 2024 · 0 comments · Fixed by #104
Assignees
Milestone

Comments

@AHReccese
Copy link
Member

AHReccese commented Apr 2, 2024

Describe the feature you want to add

Support serialization and deserialization of all Scikit-learn preprocessing transformers

  • Binarizer
  • FunctionTransformer
  • KBinsDiscretizer
  • KernelCenterer
  • LabelBinarizer
  • LabelEncoder
  • MultiLabelBinarizer
  • MaxAbsScaler
  • Normalizer
  • OneHotEncoder
  • OrdinalEncoder
  • PolynomialFeatures
  • PowerTransformer
  • QuantileTransformer
  • RobustScaler
  • SplineTransformer
  • StandardScaler
  • TargetEncoder

Describe your proposed solution

No response

Describe alternatives you've considered, if relevant

No response

Additional context

No response

@AHReccese AHReccese added this to the pymilo v0.8 milestone Apr 2, 2024
@AHReccese AHReccese self-assigned this Apr 2, 2024
@AHReccese AHReccese modified the milestones: pymilo v0.8, pymilo v0.9 Apr 14, 2024
@AHReccese AHReccese linked a pull request May 19, 2024 that will close this issue
17 tasks
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