Merge pull request #2106 from recommenders-team/bug/log_loss_breaking_change

Fix breaking change in sklearn in log_loss

Author: miguelgfierro

examples/00_quick_start/lightgbm_tinycriteo.ipynb

@@ -717,7 +717,7 @@
             "source": [
                 "test_preds = lgb_model.predict(test_x)\n",
                 "auc = roc_auc_score(np.asarray(test_y.reshape(-1)), np.asarray(test_preds))\n",
-                "logloss = log_loss(np.asarray(test_y.reshape(-1)), np.asarray(test_preds), eps=1e-12)\n",
+                "logloss = log_loss(np.asarray(test_y.reshape(-1)), np.asarray(test_preds))\n",
                 "res_basic = {\"auc\": auc, \"logloss\": logloss}\n",
                 "print(res_basic)\n"
             ]
@@ -904,7 +904,7 @@
             ],
             "source": [
                 "auc = roc_auc_score(np.asarray(test_y.reshape(-1)), np.asarray(test_preds))\n",
-                "logloss = log_loss(np.asarray(test_y.reshape(-1)), np.asarray(test_preds), eps=1e-12)\n",
+                "logloss = log_loss(np.asarray(test_y.reshape(-1)), np.asarray(test_preds))\n",
                 "res_optim = {\"auc\": auc, \"logloss\": logloss}\n",
                 "\n",
                 "print(res_optim)"
@@ -959,7 +959,7 @@
             ],
             "source": [
                 "auc = roc_auc_score(np.asarray(test_y.reshape(-1)), np.asarray(test_preds))\n",
-                "logloss = log_loss(np.asarray(test_y.reshape(-1)), np.asarray(test_preds), eps=1e-12)\n",
+                "logloss = log_loss(np.asarray(test_y.reshape(-1)), np.asarray(test_preds))\n",
                 "\n",
                 "print({\"auc\": auc, \"logloss\": logloss})"
             ]