Loading examples/notebooks/Explaining_Tox21.ipynb +2 −2 Original line number Diff line number Diff line Loading @@ -168,7 +168,7 @@ "# We need a function which takes a 2d numpy array (samples, features) and returns predictions (samples,)\n", "def eval_model(my_model, transformers):\n", " def eval_closure(x):\n", " ds = dc.data.NumpyDataset(x, None, None, None)\n", " ds = dc.data.NumpyDataset(x, None, None, None, n_tasks=n_tasks)\n", " # The 0th task is NR-AR\n", " predictions = model.predict(ds)[:,0]\n", " return predictions\n", Loading Loading @@ -36330,7 +36330,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.5.6" "version": "3.6.9" } }, "nbformat": 4, Loading
examples/notebooks/Explaining_Tox21.ipynb +2 −2 Original line number Diff line number Diff line Loading @@ -168,7 +168,7 @@ "# We need a function which takes a 2d numpy array (samples, features) and returns predictions (samples,)\n", "def eval_model(my_model, transformers):\n", " def eval_closure(x):\n", " ds = dc.data.NumpyDataset(x, None, None, None)\n", " ds = dc.data.NumpyDataset(x, None, None, None, n_tasks=n_tasks)\n", " # The 0th task is NR-AR\n", " predictions = model.predict(ds)[:,0]\n", " return predictions\n", Loading Loading @@ -36330,7 +36330,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.5.6" "version": "3.6.9" } }, "nbformat": 4,
