feature.lasso: Lasso feature selection
In MarcoNiemann/kaggle_house: Analysing House Prices in Ames, Iowa and Build a Sales Price Prediction Model

When executed an optimal set of features according to the lambda value that minimizes the loss is bound to a global variable features_lasso.

1	feature.lasso(data = data_train_numeric_clean_imputed)

data

Input data

Default dataset is data_train_numeric_clean_imputed. The family is gaussian and for measuring the goodness auc is chosen.

1	feature.lasso(data=BostonHousing)

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

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