Namespace AiDotNet.Preprocessing.Imputers
Classes
- IterativeImputer<T>
Iterative imputer using the MICE algorithm (Multiple Imputation by Chained Equations).
- KNNImputer<T>
Imputes missing values using K-Nearest Neighbors.
- MissingIndicator<T>
Creates binary indicator features for missing values.
- SimpleImputer<T>
Imputes missing values using simple strategies like mean, median, or constant.
Enums
- ImputationStrategy
Specifies the strategy for imputing missing values.
- IterativeImputerEstimator
Specifies the estimator to use for iterative imputation.
- IterativeImputerInitialStrategy
Specifies the initial imputation strategy.
- KNNWeights
Weight function used in KNN prediction.
- MissingIndicatorFeatures
Specifies which features to create missing indicators for.