Impute (FSharp.Stats) | FSharp.Stats

FSharp.Stats

Impute Module

Namespace: FSharp.Stats.ML
Assembly: FSharp.Stats.dll

Module for data imputation and missing value filtering

Nested modules

Modules	Description
Cleaning

Functions and values

Function or value	Description
`imputeBy impute isMissing data` Full Usage: `imputeBy impute isMissing data` Parameters: impute : `MatrixBaseImputation<'a[], 'a>` - isMissing : `'a -> bool` - data : `'a0 seq` - Returns: `'a array array`	Imputes rows by matrix-based imputation impute : `MatrixBaseImputation<'a[], 'a>` isMissing : `'a -> bool` data : `'a0 seq` Returns: `'a array array` Example
`imputeColWiseBy impute isMissing data` Full Usage: `imputeColWiseBy impute isMissing data` Parameters: impute : `VectorBaseImputation<'a>` - isMissing : `'a -> bool` - data : `'a0 seq` - Returns: `'a array array`	Imputes column-wise by vector-based imputation impute : `VectorBaseImputation<'a>` isMissing : `'a -> bool` data : `'a0 seq` Returns: `'a array array` Example
`imputeRowWiseBy impute isMissing data` Full Usage: `imputeRowWiseBy impute isMissing data` Parameters: impute : `VectorBaseImputation<'a>` - isMissing : `'a -> bool` - data : `'a0 seq` - Returns: `'a array array`	Imputes row-wise by vector-based imputation impute : `VectorBaseImputation<'a>` isMissing : `'a -> bool` data : `'a0 seq` Returns: `'a array array` Example
`kNearestImpute k` Full Usage: `kNearestImpute k` Parameters: k : `int` - Returns: `MatrixBaseImputation<float[], float>`	Imputation by k-nearest neighbour k : `int` Returns: `MatrixBaseImputation<float[], float>` Example
`normal` Full Usage: `normal` Returns: `VectorBaseImputation<float>`	Imputation by sampling from a gausian normal distribution based on the input vector Returns: `VectorBaseImputation<float>`
`rnd rnd` Full Usage: `rnd rnd` Parameters: rnd : `Random` - Returns: `VectorBaseImputation<'a>`	Imputation by random sampling from the input vector rnd : `Random` Returns: `VectorBaseImputation<'a>` Example