Add SimMTM

* simmtm code added

* restructure folders and update code

* update requirements

* remove README.md

* fix pre-commit errors

* fix pre-commit error

---------

Co-authored-by: Vincent Sham <shamvinc@arrow.eecs.yorku.ca>

Author: fcogidi

.gitignore

@@ -136,3 +136,10 @@ dmypy.json
 *.tar.gz
 *.zip
 *.txt
+
+
+*.out
+
+masked_modelling/experiments/*
+masked_modelling/*.xls
+masked_modelling/archive/*

contrastive_learning/ICL/ICL.ipynb

@@ -50,7 +50,7 @@
     "from pyod_base import PYOD\n",
     "\n",
     "\n",
-    "warnings.filterwarnings(action=\"once\")\n"
+    "warnings.filterwarnings(action=\"once\")"
    ]
   },
   {
@@ -128,7 +128,7 @@
    "source": [
     "datagenerator = DataGenerator()  # data generator\n",
     "utils = Utils()  # utils function\n",
-    "os.listdir(\"datasets/Classical\")\n"
+    "os.listdir(\"datasets/Classical\")"
    ]
   },
   {
@@ -153,7 +153,7 @@
     "\n",
     "# save the results\n",
     "df_AUCROC = pd.DataFrame(data=None, index=dataset_list, columns=model_dict.keys())\n",
-    "df_AUCPR = pd.DataFrame(data=None, index=dataset_list, columns=model_dict.keys())\n"
+    "df_AUCPR = pd.DataFrame(data=None, index=dataset_list, columns=model_dict.keys())"
    ]
   },
   {
@@ -2579,7 +2579,7 @@
     "        result = utils.metric(y_true=data[\"y_test\"], y_score=score)\n",
     "\n",
     "        # save results\n",
-    "        df_AUCROC.loc[dataset, name] = result[\"aucroc\"]\n"
+    "        df_AUCROC.loc[dataset, name] = result[\"aucroc\"]"
    ]
   },
   {
@@ -2681,7 +2681,7 @@
     }
    ],
    "source": [
-    "df_AUCROC  # noqa: B018\n"
+    "df_AUCROC  # noqa: B018"
    ]
   }
  ],