Imputing With Mean Value

Imputing the continuous variables by mean.

Type

transform

Class

fire.nodes.ml.NodeReplaceMissingValueWithMean

Fields

Name	Title	Description
inputCols	Column Names	Columns type should be continuous

Details

This node imputes the missing values in the specified columns by mean of the values in the column.

Examples

Incoming Dataframe has following rows and [AGE] column has missing value / [NULL] for some rows:

CUST_CD    |    CUST_NAME    |    AGE
-----------------------------------------
CD01       |    DAVID        |    30
CD02       |    MARY         |    40
CD03       |    PAUL         |
CD04       |    MATT         |

If imputingwithmeanvalue node is configured to Impute [AGE] with mean value then missing values in [AGE] column would be replaced with 35 which is the mean of [AGE] column.

Outgoing Dataframe would result as below:

CUST_CD    |    CUST_NAME    |    AGE
-----------------------------------------
CD01       |    DAVID        |    30
CD02       |    MARY         |    40
CD03       |    PAUL         |    35
CD04       |    MATT         |    35