test.ipynb

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  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a5282fc1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5ed90315",
   "metadata": {},
   "outputs": [],
   "source": [
    "P=np.load('/kaggle/working/transition_matrix.npy')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "19096780",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[6.57523572e-01, 1.43516406e-01, 8.90477747e-03, ...,\n",
       "        0.00000000e+00, 0.00000000e+00, 6.49983776e-05],\n",
       "       [1.64220820e-03, 7.62159348e-01, 5.40793166e-02, ...,\n",
       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00],\n",
       "       [7.36360322e-04, 5.95885422e-03, 7.83147573e-01, ...,\n",
       "        0.00000000e+00, 0.00000000e+00, 5.66431027e-06],\n",
       "       ...,\n",
       "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
       "        5.47945201e-01, 0.00000000e+00, 0.00000000e+00],\n",
       "       [0.00000000e+00, 4.80769249e-03, 0.00000000e+00, ...,\n",
       "        8.17307681e-02, 6.25000000e-01, 0.00000000e+00],\n",
       "       [9.52380989e-03, 0.00000000e+00, 0.00000000e+00, ...,\n",
       "        0.00000000e+00, 3.14285725e-01, 4.66666669e-01]])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "P"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "98178651",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.67483333, 0.146     , 0.02333333, ..., 0.        , 0.        ,\n",
       "        0.        ],\n",
       "       [0.00286309, 0.76973789, 0.062775  , ..., 0.        , 0.        ,\n",
       "        0.        ],\n",
       "       [0.00185185, 0.00804544, 0.779554  , ..., 0.        , 0.        ,\n",
       "        0.        ],\n",
       "       ...,\n",
       "       [0.        , 0.        , 0.        , ..., 0.        , 0.        ,\n",
       "        0.        ],\n",
       "       [0.        , 0.        , 0.        , ..., 0.        , 0.06      ,\n",
       "        0.        ],\n",
       "       [0.        , 0.        , 0.        , ..., 0.        , 0.01      ,\n",
       "        0.01      ]])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "P1=np.load('/kaggle/working/transition_matrix_NLT_100.npy');P1"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
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