remove row limits from data

bayess.ipynb

@@ -3,7 +3,6 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "5fcb7312",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -19,7 +18,6 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "88ac1be8",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -28,14 +26,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "id": "4aa43416",
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/ubuntu/anaconda3/lib/python3.8/site-packages/sklearn/utils/validation.py:73: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
+      "  return f(**kwargs)\n"
+     ]
+    }
+   ],
    "source": [
     "#training\n",
-    "all_train_data_in = pd.read_csv('train/in.tsv.xz', compression='xz', header=None, error_bad_lines=False, quoting=csv.QUOTE_NONE, sep='\\t', nrows=3000)\n",
-    "train_data_ex = pd.read_csv('train/expected.tsv', header=None, error_bad_lines=False, quoting=csv.QUOTE_NONE, sep='\\t', nrows=3000)\n",
+    "all_train_data_in = pd.read_csv('train/in.tsv.xz', compression='xz', header=None, error_bad_lines=False, quoting=csv.QUOTE_NONE, sep='\\t')\n",
+    "train_data_ex = pd.read_csv('train/expected.tsv', header=None, error_bad_lines=False, quoting=csv.QUOTE_NONE, sep='\\t')\n",
     "train_data_in = []\n",
     "for value in all_train_data_in.values:\n",
     "    temp = \"\"\n",
@@ -51,8 +57,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
-   "id": "15c47c24",
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -77,8 +82,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
-   "id": "822b1e29",
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -118,7 +122,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.8"
+   "version": "3.8.3"
   }
  },
  "nbformat": 4,