python regression by vowpalwabbit

python regression by vowpalwabbit


1 ridge
2 lasso
3 quantile for both ridge and lasso !

VowpalWabbit
https://github.com/VowpalWabbit/vowpal_wabbit/wiki/Command-Line-Arguments

for big data like
us-used-cars-dataset 9 GB 3ml rows 66 features predict price
https://www.kaggle.com/ananaymital/us-used-cars-dataset

all calculations done in vowpalwabbit python including one hot for categorical data (not scikit learn or pandas one hot)

data has many both categorical and continues features



code starter
https://github.com/matanbruker/mechine-learning-project/blob/1583c3790fe9d09608e8805e573b6493bc7bcbc1/mechine%20learning%20project/Notebooks/analcatdata_neavote.ipynb

2
Feature-interactions 2nd and 3d order for categorical data
https://github.com/VowpalWabbit/vowpal_wabbit/wiki/https://github.com/VowpalWabbit/vowpal_wabbit/wiki/Feature-interactions
3
hyper parameters tuning
https://github.com/VowpalWabbit/vowpal_wabbit/wiki/Using-vw-hypersearch
4
train test split