Here, we present a general machine and deep learning approach for predicting in vitrokcatvalues for natural reactions of wild-type enzymes. In contrast to previous approaches, we represent chemical reactions through numerical fingerprints that consider the complete set of substrates and products of a ...
This work focuses on predicting the number of firefighter interventions in certain localities while respecting the strong concept of DP. A local Differential Privacy approach was first used to anonymize location data. Statistical estimators were then applied to reconstruct a synthetic data set that is...
In [3] # 使用sklearn接口完成训练和预测 # train gbm = lgb.LGBMRegressor(num_leaves=31, learning_rate=0.05, n_estimators=20) gbm.fit(X_train, y_train, eval_set=[(X_test, y_test)], eval_metric='l1', callbacks=[lgb.early_stopping(5)]) [1] valid_0's l1: 142.538 valid_0's ...