Imputation (FSharp.Stats) | FSharp.Stats

FSharp.Stats

Imputation Module

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

Module for data imputation and missing value filtering

Types and nested modules

Type/Module	Description
Cleaning
MatrixBaseImputation<'a, 'b>	Type definintion for a vector based imputation The imputed values are based on the given whole dataset
VectorBaseImputation<'a>	Type definintion for a vector based imputation. The imputed values are based only on the given array

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 data arr index` Full Usage: `kNearestImpute k data arr index` Parameters: k : `int` - data : `float[] seq` - arr : `float[]` - index : `int` - Returns: `float`	Imputation by k-nearest neighbour k : `int` data : `float[] seq` arr : `float[]` index : `int` Returns: `float` Example
`normal fdata index` Full Usage: `normal fdata index` Parameters: fdata : `float seq` index : `int` Returns: `float`	Imputation by sampling from a gausian normal distribution based on the input vector fdata : `float seq` index : `int` Returns: `float`
`rnd rnd fdata index` Full Usage: `rnd rnd fdata index` Parameters: rnd : `Random` - fdata : `'a seq` - index : `int` - Returns: `'a`	Imputation by random sampling from the input vector rnd : `Random` fdata : `'a seq` index : `int` Returns: `'a` Example