Documentation Index
Fetch the complete documentation index at: https://docs.clickml.app/llms.txt
Use this file to discover all available pages before exploring further.
The Missing Values component extends basic cleaning with more imputation strategies, including KNN-based imputation and interpolation.
Configuration
| Option | Description |
|---|
| Columns | Columns to apply the strategy to. Supports All Numerical Features and All Categorical Features shortcuts. Leave empty to apply to all columns. |
| Strategy | Imputation method (see table below). |
| Fill Value | The constant value to use when Strategy is Fill Constant. |
| N Neighbors | Number of neighbors for KNN Imputation (default: 5). |
Strategies
| Strategy | Description |
|---|
| Drop Rows | Remove rows with any missing value in selected columns |
| Drop Columns | Remove the selected columns |
| Fill Constant | Fill missing values with a fixed value |
| Fill Mean | Fill with column mean |
| Fill Median | Fill with column median |
| Fill Mode | Fill with most frequent value |
| Fill Forward | Propagate the last valid value forward |
| Fill Backward | Propagate the next valid value backward |
| Interpolate Linear | Linear interpolation between known values (numerical only) |
| KNN Imputation | Impute using K-nearest neighbors based on other features (numerical only) |
| Type |
|---|
| Input | DataFrame |
| Output | DataFrame |
KNN Imputation produces the most accurate results but is slower on large datasets. For quick fixes, Fill Mean or Fill Median is usually sufficient.
