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
1.7.0 - Home
  • Quick Start
  • User Guide
  • API
  • Resources
  • Contribute
    • About
    • What’s new
    • Other versions
    • Sponsor us
  • 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
    • MeanMedianImputer
    • ArbitraryNumberImputer
    • EndTailImputer
    • CategoricalImputer
    • RandomSampleImputer
    • AddMissingIndicator
    • DropMissingData
  • Categorical Encoding
    • OneHotEncoder
    • CountFrequencyEncoder
    • OrdinalEncoder
    • MeanEncoder
    • WoEEncoder
    • DecisionTreeEncoder
    • RareLabelEncoder
    • StringSimilarityEncoder
  • Discretisation
    • EqualFrequencyDiscretiser
    • EqualWidthDiscretiser
    • ArbitraryDiscretiser
    • DecisionTreeDiscretiser
    • GeometricWidthDiscretiser
  • Outlier Handling
    • Winsorizer
    • ArbitraryOutlierCapper
    • OutlierTrimmer
  • Variance Stabilizing Transformations
    • LogTransformer
    • LogCpTransformer
    • ReciprocalTransformer
    • ArcsinTransformer
    • PowerTransformer
    • BoxCoxTransformer
    • YeoJohnsonTransformer
  • Feature Creation
    • MathFeatures
    • RelativeFeatures
    • CyclicalFeatures
  • Datetime Features
    • DatetimeFeatures
    • DatetimeSubtraction
  • Feature Selection
    • DropFeatures
    • DropConstantFeatures
    • DropDuplicateFeatures
    • DropCorrelatedFeatures
    • SmartCorrelatedSelection
    • SelectBySingleFeaturePerformance
    • RecursiveFeatureElimination
    • RecursiveFeatureAddition
    • DropHighPSIFeatures
    • SelectByInformationValue
    • SelectByShuffling
    • SelectByTargetMeanPerformance
    • ProbeFeatureSelection
  • Time Series Features
    • Forecasting Features
  • Preprocessing
    • MatchCategories
    • MatchVariables
  • Scikit-learn Wrapper
    • SklearnTransformerWrapper
  • Pipeline
    • Pipeline
    • make_pipeline
  • Datasets
    • load__titanic
  • Variable handling functions
    • find_all_variables
    • find_categorical_variables
    • find_datetime_variables
    • find_numerical_variables
    • find_categorical_and_numerical_variables
    • check_all_variables
    • check_categorical_variables
    • check_datetime_variables
    • check_numerical_variables
    • retain_variables_if_in_df
  • API
  • Feature Creation

Feature Creation#

Feature-engine’s creation transformers create and add new features to the dataframe by either combining or transforming existing features.

  • MathFeatures
  • RelativeFeatures
  • CyclicalFeatures

Transformers in other Libraries#

Check also the following transformer from Scikit-learn:

  • PolynomialFeatures

  • SplineTransformer

previous

YeoJohnsonTransformer

next

MathFeatures

On this page
  • Transformers in other Libraries
Show Source

© Copyright 2018-2024, Feature-engine developers.

Created using Sphinx 5.3.0.

Built with the PyData Sphinx Theme 0.15.2.