This site uses cookies

We use cookies to recognize your visits and preferences, to measure the effectiveness of the documentation, and discover how people find us. With your consent, you're helping us make our documentation better.
Learn More.

Skip to main content

Ctrl+K

Quick Start
User Guide
API
Resources
Contribute

GitHub
Blog
Sponsor

Quick Start
User Guide
API
Resources
Contribute
About
What’s new
Other versions
Sponsor us

GitHub
Blog
Sponsor

Section Navigation

Missing Data Imputation
Categorical Encoding
Discretisation
Outlier Handling
Variance Stabilizing Transformations

Feature Creation
Datetime Features
- DatetimeFeatures
- DatetimeSubtraction

Feature Selection

Time Series Features
- Forecasting Features

Preprocessing
- MatchCategories
- MatchVariables
Scaling
- MeanNormalizationScaler
Scikit-learn Wrapper
- SklearnTransformerWrapper

Pipeline
- Pipeline
- make_pipeline

Datasets
- load__titanic

Variable handling functions

API
Scaling

Scaling#

Feature-engine’s scaling transformers apply various scaling techniques to given columns

MeanNormalizationScaler

previous

MatchVariables

next

MeanNormalizationScaler

© Copyright 2018-2025, Feature-engine developers.

Created using Sphinx 5.3.0.

Built with the PyData Sphinx Theme 0.15.4.