feat_engine documentation

Contents:

• Operate DataFrame
  • DataFrameOperator
• Handle Missing Values
  • MissingValueHandler
• Normalize Scaling
  • ScalingNormalizer
• Encode Category
  • CategoricalEncoder
• Interact Features
  • ArithmeticCombinationsTransformer
  • CrossedFeaturesTransformer
  • PolynomialFeaturesTransformer
  • ProductFeaturesTransformer
• Transform Features
  • FeatureTransformer
• Reduce Dimension
  • AutoencoderReducer
  • FactorAnalysisReducer
  • IsomapReducer
  • LDAReducer
  • PCAReducer
  • SVDReducer
  • TSNEReducer
  • UMAPReducer
• Cluster Data
  • AgglomerativeClusteringModel
  • BaseClustering
  • DBSCANClustering
  • GaussianMixtureClustering
  • KMeansClustering
  • evaluate_clustering()
  • find_optimal_k()
• Select Features
• Handle Outliers
  • DBSCANOutlierDetector
  • IQRBasedOutlierDetector
  • IsolationForestOutlierDetector
  • OutlierCapper
  • RobustScalerTransformer
  • Winsorizer
  • ZScoreOutlierDetector
• Temporal Features
  • CyclicalFeaturesEncoder
  • DataResampler
  • DatePartExtractor
  • DatetimeConverter
  • LagFeatureCreator
  • RollingFeatureCreator
  • TimeDifferenceTransformer
• Group Features
  • GroupByFeatureGenerator
  • PercentileCalculator
  • RollingAggregator
  • TimeBasedAggregator
• Target Based Features
  • TargetBasedEncoder
• Visualize Data
  • DataVisualizer
• Solve Classification
  • ClassificationSolver
• Solve Regression
  • RegressionSolver