Use constants class

.gitignore

 test.ipynb
 clf-test.ipynb
+__pycache__/constants.cpython-311.pyc

1.1-Preprocessing.ipynb

@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -18,18 +18,16 @@
     "from sklearn.model_selection import train_test_split\n",
     "\n",
     "\n",
-    "DATASET_PATH = 'data/Symptom2Disease.csv'\n",
-    "TRAIN_SET_PATH = 'data/Preprocessed_Symptom2Disease_Train.csv'\n",
-    "TEST_SET_PATH = 'data/Preprocessed_Symptom2Disease_Test.csv'"
+    "from constants import CONSTANTS"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
-    "df = pd.read_csv(DATASET_PATH)"
+    "df = pd.read_csv(CONSTANTS.DATASET_PATH)"
    ]
   },
   {
@@ -41,7 +39,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -50,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -123,7 +121,7 @@
        "4           4  Psoriasis  My nails have small dents or pits in them, and..."
       ]
      },
-     "execution_count": 16,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -141,7 +139,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -208,7 +206,7 @@
        "4  My nails have small dents or pits in them, and...  Psoriasis"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -229,7 +227,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -259,7 +257,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -293,7 +291,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -360,7 +358,7 @@
        "4  I've been quite exhausted and ill. My throat h...            Common Cold"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -380,7 +378,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -441,7 +439,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -508,7 +506,7 @@
        "4  i've been quite exhausted and ill. my throat h...            common cold"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -528,7 +526,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -548,12 +546,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
-    "train_df.to_csv(TRAIN_SET_PATH, index=False)\n",
-    "test_df.to_csv(TEST_SET_PATH, index=False)"
+    "train_df.to_csv(CONSTANTS.TRAIN_SET_PATH, index=False)\n",
+    "test_df.to_csv(CONSTANTS.TEST_SET_PATH, index=False)"
    ]
   }
  ],

constants.py

+class CONSTANTS:
+    DATASET_PATH = 'data/Symptom2Disease.csv'
+    TRAIN_SET_PATH = 'data/Preprocessed_Symptom2Disease_Train.csv'
+    TEST_SET_PATH = 'data/Preprocessed_Symptom2Disease_Test.csv'
\ No newline at end of file