Update tasks/text.py

tasks/text.py

@@ -88,8 +88,8 @@ async def evaluate_text(request: TextEvaluationRequest):
     #Parameters: {'colsample_bytree': 0.7498850106268238, 'gamma': 0.3690168082131852, 'learning_rate': 0.054839600377537934, 'max_depth': 5, 'n_estimators': 125, 'subsample': 0.6272998821416366}
     
     #xgb_model = xgb.XGBRegressor(max_depth=5, objective='multi:softprob', 
-                                 n_estimators=125, num_class=8, colsample_bytree=0.7498850106268238,gamma=0.3690168082131852,
-                                 learning_rate=0.054839600377537934, subsample=0.6272998821416366)
+    #                             n_estimators=125, num_class=8, colsample_bytree=0.7498850106268238,gamma=0.3690168082131852,
+    #                             learning_rate=0.054839600377537934, subsample=0.6272998821416366)
     #xgb_model.fit(tfidf_train, y_train)
     #y_pred = xgb_model.predict(tfidf_train)