Gradyan artırma türleri

Python'da Ensemble Yöntemleri

Román de las Heras

Data Scientist, Appodeal

Gradyan artırmanın varyasyonları

Gradyan Artırma Algoritması

Uygulama

import xgboost as xgb

clf_xgb = xgb.XGBClassifier(
   n_estimators=100,
   learning_rate=None,
   max_depth=None,
   random_state
)

clg_xgb.fit(X_train, y_train)
pred = clf_xgb.predict(X_test)

import lightgbm as lgb

clf_lgb = lgb.LGBMClassifier(
   n_estimators=100,
   learning_rate=0.1,
   max_depth=-1,
   random_state
)

clf_lgb.fit(X_train, y_train)
pred = clf_lgb.predict(X_test)

import catboost as cb

clf_cat = cb.CatBoostClassifier(
   n_estimators=None,
   learning_rate=None,
   max_depth=None,
   random_state
)

clf_cat.fit(X_train, y_train)
pred = clf_cat.predict(X_test)

Python'da Ensemble Yöntemleri