preprocess.generate_cleaned_data: Cleaning data function

In MarcoNiemann/kaggle_house: Analysing House Prices in Ames, Iowa and Build a Sales Price Prediction Model

Description

Main purpose is to remove a set of rows and columns from a given dataset.

Usage

preprocess.generate_cleaned_data(data, rows, cols)

Arguments

data	Input data that is supposed to be reduced in number of columns and rows
rows	Rows that should be removed from data
cols	Columns that should be removed from data

Details

After checking for valid input parameter first rows and then columns are removed from the data. The cleaned dataset is globally available under the name of the input dataset with "_clean" as prefix.

Value

data with removed rows and columns

MarcoNiemann/kaggle_house documentation built on May 7, 2019, 2:50 p.m.