concat data from each class

ML/.ipynb_checkpoints/fruit_recognition-checkpoint.ipynb

@@ -284,6 +284,25 @@
     "    return arr_feature"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<__array_function__ internals>:5: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Save DataTrain and the label\n",
+    "X_Shapedes =np.concatenate((apple,banana,lemon,lime,orange,peach,pear))\n",
+    "y_Shapedes =np.concatenate((label_apple,label_banana,label_lemon,label_lime,label_orange,label_peach,label_pear))"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,

ML/fruit_recognition.ipynb

@@ -284,6 +284,25 @@
     "    return arr_feature"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<__array_function__ internals>:5: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Save DataTrain and the label\n",
+    "X_Shapedes =np.concatenate((apple,banana,lemon,lime,orange,peach,pear))\n",
+    "y_Shapedes =np.concatenate((label_apple,label_banana,label_lemon,label_lime,label_orange,label_peach,label_pear))"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,