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Shikhargupta/feat_imp.py

Created May 12, 2020 13:30
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feat_imp.py
xg_reg = xgb.XGBRegressor(base_score=0.5, colsample_bylevel=1, colsample_bytree=0.4,
gamma=0, learning_rate=0.07, max_delta_step=0, max_depth=3,
min_child_weight=1.5, missing=None, n_estimators=400, nthread=-1,
objective='reg:linear', reg_alpha=0.75, reg_lambda=0.45,
scale_pos_weight=1, seed=42, silent=True, subsample=0.6)
xg_reg.fit(X_train,np.log(y_train))
x_ax = np.arange(len(xg_reg.feature_importances_))
plt.figure(figsize=(90, 30))
sns.barplot(x=x_ax, y=xg_reg.feature_importances_)
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