LearnKit

v0.1.6

LearnKit v0.1.6 LearnKit.Preprocessing View Source

Module for data preprocessing

Link to this section Summary

Types

matrix()
row()

Functions

coefficients(features, type)

Prepare coefficients for normalization

normalize(features)

Normalize data set with minimax normalization

normalize(features, options)

Normalize data set

normalize_feature(feature, coefficients, type)

Normalize 1 feature with predefined coefficients

Link to this section Types

Link to this type matrix() View Source 
matrix() :: [row()]

Link to this section Functions

Link to this function coefficients(features, type) View Source 
coefficients(matrix(), String.t()) :: matrix()

Prepare coefficients for normalization

Parameters

  • features: features grouped by index
  • type: minimax/z_normalization

Examples 

iex> LearnKit.Preprocessing.coefficients([[1, 2], [3, 4], [5, 6]], "minimax")
[{1, 5}, {2, 6}]

iex> LearnKit.Preprocessing.coefficients([[1, 2], [3, 4], [5, 6]], "z_normalization")
[{3.0, 1.632993161855452}, {4.0, 1.632993161855452}]
Link to this function normalize(features) View Source 
normalize(matrix()) :: matrix()

Normalize data set with minimax normalization

Parameters

  • features: list of features for normalization

Examples 

iex> LearnKit.Preprocessing.normalize([[1, 2], [3, 4], [5, 6]])
[
  [0.0, 0.0],
  [0.5, 0.5],
  [1.0, 1.0]
]
Link to this function normalize(features, options) View Source 
normalize(matrix(), list()) :: matrix()

Normalize data set

Parameters

  • features: list of features for normalization
  • options: keyword list with options

Options

  • type: minimax/z_normalization, default is minimax, optional

Examples 

iex> LearnKit.Preprocessing.normalize([[1, 2], [3, 4], [5, 6]], [type: "z_normalization"])
[
  [-1.224744871391589, -1.224744871391589],
  [0.0, 0.0],
  [1.224744871391589, 1.224744871391589]
]
Link to this function normalize_feature(feature, coefficients, type) View Source 
normalize_feature(list(), [tuple()], String.t()) :: list()

Normalize 1 feature with predefined coefficients

Parameters

  • feature: feature for normalization
  • coefficients: predefined coefficients
  • type: minimax/z_normalization

Examples 

iex> LearnKit.Preprocessing.normalize_feature([1, 2], [{1, 5}, {2, 6}], "minimax")
[0.0, 0.0]