update

model.ipynb

@@ -2,17 +2,10 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 99,
+   "execution_count": 1,
    "id": "8f5480f9-fa82-4150-acff-9309fdc43690",
    "metadata": {},
    "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "107463\n"
-     ]
-    },
     {
      "data": {
       "text/plain": [
@@ -20,7 +13,7 @@
        "                ('linearregression', LinearRegression())])"
       ]
      },
-     "execution_count": 99,
+     "execution_count": 1,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -35,8 +28,6 @@
     "with open('train/train.tsv', 'r', encoding='utf8') as file:\n",
     "    train_data = pd.read_csv(file, sep='\\t', names=['Begin', 'End', 'Title', 'Publisher', 'Text'])\n",
     "\n",
-    "print(len(train_data))    \n",
-    "train_data = train_data[:10000]\n",
     "    \n",
     "X = train_data['Text']\n",
     "Y = train_data['Begin']\n",

run.py

@@ -23,7 +23,7 @@ def write_pred(filename, predictions):
 
             
             
-train_data = train_data[:10000]
+# train_data = train_data[:10000]
     
 X = train_data['Text']
 Y = train_data['Begin']