run_generate_data: Function for generating datasets
In MarcoNiemann/kaggle_house: Analysing House Prices in Ames, Iowa and Build a Sales Price Prediction Model
Description
In general the first function that should be executed when the package is loaded.
Generates the two dataset data_train_numeric_clean_imputed and data_test_numeric_clean_imputed.
Usage
1
Details
First the function generates data views for e.g. distinguishing categorical and ordinal variables. Next the
data is cleaned by removing unnecessary columns and rows. After that imputation takes place by manually
and automatically(mice with pmm) substituting missing values.
MarcoNiemann/kaggle_house documentation built on May 7, 2019, 2:50 p.m.
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Description
In general the first function that should be executed when the package is loaded.
Generates the two dataset data_train_numeric_clean_imputed and data_test_numeric_clean_imputed.
Usage
1 |
Details
First the function generates data views for e.g. distinguishing categorical and ordinal variables. Next the data is cleaned by removing unnecessary columns and rows. After that imputation takes place by manually and automatically(mice with pmm) substituting missing values.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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