Loading deepchem/splits/tests/test_splitter.py +10 −1 Original line number Diff line number Diff line Loading @@ -91,13 +91,22 @@ class TestSplitters(TestDatasetAPI): sparse_dataset = self.load_sparse_multitask_dataset() sparse_np_list = sparse_dataset.to_numpy() ############################################ DEBUG X, y, w, ids = sparse_dataset.to_numpy() print("y[11]") print(y[11]) print("w[11]") print(w[11]) ############################################ DEBUG assert 0 == 1 """ sparsity is determined by number of w weights that are 0 for a given task structure of w np array is such that each row corresponds to a sample -- e.g., analyze third column for third sparse task """ y_np = sparse_np_list[1] sparse_np = sparse_np_list[2] sparse_np = sparse_np_list[2] #weight np array #debugging #print(sparse_np[:, 3]) Loading Loading
deepchem/splits/tests/test_splitter.py +10 −1 Original line number Diff line number Diff line Loading @@ -91,13 +91,22 @@ class TestSplitters(TestDatasetAPI): sparse_dataset = self.load_sparse_multitask_dataset() sparse_np_list = sparse_dataset.to_numpy() ############################################ DEBUG X, y, w, ids = sparse_dataset.to_numpy() print("y[11]") print(y[11]) print("w[11]") print(w[11]) ############################################ DEBUG assert 0 == 1 """ sparsity is determined by number of w weights that are 0 for a given task structure of w np array is such that each row corresponds to a sample -- e.g., analyze third column for third sparse task """ y_np = sparse_np_list[1] sparse_np = sparse_np_list[2] sparse_np = sparse_np_list[2] #weight np array #debugging #print(sparse_np[:, 3]) Loading
