impute

Fills the missing values in the dataset with one of the following strategies (see Inputs section).

Attention: Available only with Activate commercial edition.

Syntax

[imputed_data, parameters] = impute(X)

[imputed_data, parameters] = impute(X, options)

Inputs

X

Input data to be imputed.

Type: double

Dimension: matrix

options

Type: struct

strategy: Strategy to be used to fill the missing values.; Allowed Values: 'mean' (default), 'median', 'most_frequent', 'constant' (constant field of options is considered).; Type: char; Dimension: string
constant: Constant number to be used to fill missing values if 'constant' is the chosen strategy (default: 0).; Type: double | integer; Dimension: scalar
cols: Columns to consider to apply imputation for.; Type: integer; Dimension: vector

Outputs

imputed_data: Imputed input records.; Type: double; Dimension: matrix
parameters: Struct containing values required by imputeTransform function used on test data.; fillers: values to be used to fill at missing places.; Type: double | integer; Dimension: struct

Example

Usage of impute

X = [1 2 3;
     NaN 3 3;
     7 6 2;
     8 NaN NaN];
[X_scaled, parameters] = impute(X); %by default strategy is 'mean';

> X_scaled
X_scaled = [Matrix] 4 x 3
1.00000 2.00000 3.00000
5.33333 3.00000 3.00000
7.00000 6.00000 2.00000
8.00000 3.66667 2.66667
> parameters
parameters = struct [
cols: [Matrix] 0 x 0
constant: 0
fillers: [Matrix] 1 x 3
5.33333 3.66667 2.66667
strategy: mean
]

Comments

Output 'parameters' can be used by imputetransform function.