Loading examples/sweetlead/sweet.csv.gzdeleted 100644 → 0 −53.4 KiB File deleted. View file examples/sweetlead/sweet.py +4 −3 Original line number Diff line number Diff line """ Script that loads random forest models trained on the sider and toxcast datasets, predicts on sweetlead, creates covariance matrix Script that loads random forest models trained on the sider and tox21 datasets, predicts on sweetlead, creates covariance matrix @Author Aneesh Pappu """ from __future__ import print_function Loading Loading @@ -38,7 +39,7 @@ tox_model.fit(tox_train) sider_tasks, (sider_train, sider_valid, sider_test), sider_transformers = dc.molnet.load_sider(split="random") sider_model = SingletaskToMultitask(tox_tasks, model_builder) sider_model = SingletaskToMultitask(sider_tasks, model_builder) sider_model.fit(sider_train) # Load sweetlead dataset now. Pass in dataset object and appropriate Loading Loading
examples/sweetlead/sweet.py +4 −3 Original line number Diff line number Diff line """ Script that loads random forest models trained on the sider and toxcast datasets, predicts on sweetlead, creates covariance matrix Script that loads random forest models trained on the sider and tox21 datasets, predicts on sweetlead, creates covariance matrix @Author Aneesh Pappu """ from __future__ import print_function Loading Loading @@ -38,7 +39,7 @@ tox_model.fit(tox_train) sider_tasks, (sider_train, sider_valid, sider_test), sider_transformers = dc.molnet.load_sider(split="random") sider_model = SingletaskToMultitask(tox_tasks, model_builder) sider_model = SingletaskToMultitask(sider_tasks, model_builder) sider_model.fit(sider_train) # Load sweetlead dataset now. Pass in dataset object and appropriate Loading
