daviddoji/Kalman-and-Bayesian-Filters-in-Python
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Remove default argument from discrete_bayes_sim

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This was a source of bugs. Github #259.
This commit is contained in:
Roger Labbe committed 2018-11-02 14:59:22 -07:00
1 parent 00126c37f3
commit b59c2c3698
1 file changed
+9 -9
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02-Discrete-Bayes.ipynb
+9 -9
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@@ -36,7 +36,7 @@
" <style>\n",
" .output_wrapper, .output {\n",
" height:auto !important;\n",
" max-height:10000px; \n",
" max-height:100000px; \n",
" }\n",
" .output_scroll {\n",
" box-shadow:none !important;\n",
@@ -586,7 +586,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "463b3378b88f41e2aa57570da0e6473b",
"model_id": "58c6d27b7eac42e3993004e74c3a2d4c",
"version_major": 2,
"version_minor": 0
},
@@ -764,7 +764,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "9f754addc6cb4356aa09ecb5cb357760",
"model_id": "52514fc434b046ab8f5e6d03a6fc5eb2",
"version_major": 2,
"version_minor": 0
},
@@ -1207,7 +1207,7 @@
},
"outputs": [],
"source": [
"def discrete_bayes_sim(prior, kernel, measurements, z_prob, hallway=hallway):\n",
"def discrete_bayes_sim(prior, kernel, measurements, z_prob, hallway):\n",
" posterior = np.array([.1]*10)\n",
" priors, posteriors = [], []\n",
" for i, z in enumerate(measurements):\n",
@@ -1256,7 +1256,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "02506b7b96c24e7396f905a42e5a42f4",
"model_id": "4d17ec9283824c48b639b64199628ef5",
"version_major": 2,
"version_minor": 0
},
@@ -1277,7 +1277,7 @@
"# measurements with no noise\n",
"zs = [hallway[i % len(hallway)] for i in range(50)]\n",
"\n",
"priors, posteriors = discrete_bayes_sim(prior, kernel, zs, z_prob)\n",
"priors, posteriors = discrete_bayes_sim(prior, kernel, zs, z_prob, hallway)\n",
"interact(animate_discrete_bayes, step=IntSlider(value=1, max=len(zs)*2));"
]
},
@@ -1309,7 +1309,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "c278bb6ac7374bbfbe2e1466f149e62b",
"model_id": "55c0af7cbfa944b0a6d0f154483e9bfd",
"version_major": 2,
"version_minor": 0
},
@@ -1347,7 +1347,7 @@
"outputs": [
{
"data": {
"image/png": 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truncated
"image/png": "iVBORw0KGgoAAAANSUhEUgAAA0IAAAGDCAYAAAAGdaBMAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJzs3Xt8VPWd//H3ZHIjCSEBEiREknBJAgSC9dGy8NOt1ALiZVfdsgjahwJdLVgVa6VbsWjrDbvValvtWrWWFgm7FqnVilYRrdVK8VIkERDCJUCAhCQkBAjJzJzfH2xOM2SScyZAzsyc1/Px8KGe75wz3/OZz3wy3znf8x2PYRiGAAAAAMBF4pzuAAAAAAD0NgZCAAAAAFyHgRAAAAAA12EgBAAAAMB1GAgBAAAAcB0GQgAAAABch4EQAAAAANdhIAQAAADAdRgIAQAAAHAdBkIAAPyf/Px85efnO90NAEAvYCAEAAji8XiC/vF6vRo4cKAuvvhirVy5stf6ce+998rj8ejtt9/utecEALhHvNMdAABEpnvuuUeS1NbWpq1bt+r3v/+93nrrLX300Uf6r//6L4d7d3asXbvW6S4AAHoJAyEAQEj33ntv0P+vXbtWU6ZM0aOPPqpvfetbysvLc6ZjZ9Hw4cOd7gIAoJcwNQ4AYMvFF1+s4uJiBQIBbdiwIajtf/7nf3ThhReqX79+6tOnj0pKSvTggw+qpaWl03E++eQTzZw5U3l5eUpKStKAAQM0btw43XbbbWpra5N08l6dH/zgB5KkyZMnB03V6+jYsWN66KGHNH78eKWmpiotLU0TJ05UWVlZp+d9++235fF4dO+99+qDDz7Q9OnTlZmZKY/Ho127dpnPG+oeoZaWFj300EMaO3asUlJSlJ6ergsvvDDkVMFdu3bJ4/Hohhtu0JYtW/S1r31NWVlZiouLY5ofAEQQrggBAGwzDKPTtu9+97v60Y9+pKysLF177bVKTU3Vq6++qsWLF+u1117Tm2++qcTEREnS3//+d02cOFFxcXH6l3/5FxUUFKipqUnbt2/XL37xCz3wwANKSEjQwoUL9fvf/17vvPOOrr/++pCDk8OHD+srX/mKPvnkE51//vmaO3euAoGAXn/9dc2ePVsVFRW6//77O+33/vvv68EHH9SFF16oefPmqaamxuxfKK2trZo6dareffddjR49WjfffLOOHTumF154QbNmzdInn3yihx9+uNN+27dv1z/90z+pqKhI1113nZqbm9W3b98wog0AOKsMAAA6kGSE+vPw1ltvGXFxcYbH4zF27txpGIZh/OUvfzEkGXl5ecbBgwfNx7a1tRmXXnqpIcm4//77ze233367IclYvXp1p+PX19cbfr/f/P977rnHkGSsW7cuZD+vv/56Q5Lx4x//OGj78ePHjWnTphkej8f4+OOPze3r1q0zz+2///u/Qx4zLy/PyMvLC9r2wAMPGJKMyy+/3GhrazO3HzhwwDj33HMNSca7775rbt+5c6f5PN/73vdCPg8AwHlMjQMAhHTvvffq3nvv1eLFizVjxgxNnTpVgUBACxcuNK/QPPfcc5Kku+++W9nZ2ea+8fHxevTRRxUXF6dnn33W3N4+tS0lJaXT82VmZiouzt6fpbq6Oi1fvlxf/OIXdccddwS1JScn6+GHH5ZhGFqxYkWnfUtLS3XTTTfZeh5J+tWvfiWPx6NHHnlE8fH/mEgxaNAgff/73zcfc6pBgwaZC04AACIPU+MAACG136Pj8XiUkZGhCy64QPPmzdN1111nPuaTTz6RdPI+nlMVFRUpNzdXO3fu1OHDh5WRkaFrrrlGjz/+uK688krNmDFDF198sf7f//t/YS9SsGHDBvn9fkmdF3WQZN5rtGXLlk5tEyZMsP08R44cUWVlpXJzc1VYWNip/atf/aok6eOPP+7UVlpaqqSkJNvPBQDoXQyEAAAhGSHuBzpVY2OjJOmcc84J2T548GBVVVWpsbFRGRkZ+uIXv6h3331XDzzwgF544QX95je/kSQVFxfr3nvv1cyZM231ra6uTtLJAdGpCzd01Nzc3GlbV30Nxc75dXxcT58HAND7mBoHAOixfv36SZIOHDgQsn3//v1Bj5OkiRMn6pVXXlFDQ4Pee+89ff/739eBAwc0a9YsvfXWW2E97+233y7DMLr8Z926dZ32PXXluTN9fj15HgBA72MgBADosfPOO0+SQi4LvX37du3du1cFBQXKyMjo1J6UlKRJkybphz/8oX7605/KMAz9/ve/N9u9Xq8kmVPgOvrSl76kuLg4vfvuu2foTELr27evhg8frn379mnbtm2d2tsHWl/4whfOaj8AAGceAyEAQI/NnTtXknT//fertrbW3O73+/Wd73xHgUBA8+bNM7e/++67IaeRHTx4UNLJhQ7aDRgwQJK0Z8+eTo/Pzs7Wtddeqw8//FD33XeffD5fp8dUVlZq586dPTyzf5g7d64Mw9Cdd94ZNCg7dOiQ7rvvPvMxAIDowj1CAIAemzRpkhYtWqQf/ehHKikp0de+9jWlpqZqzZo1Ki8v1wUXXKA777zTfPwjjzyiP/3pT7rooos0bNgwpaWlqaKiQmvWrFFGRoZuvPFG87GTJ09WXFycvve972nTpk3KzMyUdHKFOkn6+c9/rm3btmnJkiX67W9/qwsuuECDBg1SdXW1Nm/erA0bNqisrEwFBQWndY7f+c53tGbNGr300ksqLS3VpZdeav6OUE1NjRYtWqQLLrjgtJ4DAND7GAgBAE7Lww8/rPPOO08///nP9Zvf/EZtbW0aPny47r//ft1xxx1BP1a6YMECZWZmav369Xrvvffk8/mUm5urBQsW6I477lBeXp752FGjRmnZsmX68Y9/rCeffFItLS2S/jEQSk9P1zvvvKNf/vKXWrFihVatWqWWlhYNGjRII0eO1E9+8hNNmTLltM8vMTFRb7zxhh599FGtWLFCP/vZzxQfH6/S0lI99thjmjVr1mk/BwCg93kMO8sCAQAAAEAM4R4hAAAAAK4T9kDoyJEjWrRokaZOnaqsrCx5PJ6QP2bXlZqaGt1www0aOHCgUlJSNHHiRK1duzbcbgAAAABAj4U9EKqrq9Mvf/lLnThxQldeeWVY+544cUIXX3yx1q5dq8cff1wvvfSSBg0apEsuuUTvvPNOuF0BAAAAgB4Je7GEvLw8NTQ0yOPx6NChQ3rmmWds7/vss8+qvLxc77//viZOnCjp5KpApaWlWrRokdavXx9udwAAAAAgbGEPhE7nl7JXr16toqIicxAkSfHx8bruuut01113ad++fRoyZIgkKRAIKBAIdHpufqkbAAAAQEeGYejUNeDi4uIUF9f1BLheXT67vLxcF154Yaft48aNkyRVVFQEDYSOHj3am90DAAAAECNSU1O7HQj16qpxdXV16t+/f6ft7dvq6up6szsAAAAAXKrXl8/ubmob094AAAAA9IZeHQgNGDAg5FWf+vp6SQp5tQgAAAAAzrRevUdo7Nix2rRpU6ft7dtKSkrMbaGuDlnN8+st2dnZTnehV9TU1DjdhZhFDgFnH++zyPFPD65Vmz/QaXuCN04f3HWxAz2yxy05JEVHHgHdCbW+gNVss14dCF111VVasGCB1q9frwkTJkiSfD6fli9frgkTJignJ8d8bKiOW6380Fvcci9TJMQ6VpFDwNnH+yxyHD7uU2uIgVCiNzL+rnfFLTkkRUceAeE6KwOhNWvW6OjRozpy5Igk6bPPPtPvfvc7SdKll16qlJQUzZs3T8uWLVNlZaXy8vIkSXPnztUTTzyhGTNmaOnSpcrOztaTTz6prVu36s033+xJVwAAAAAgbD0aCM2fP1+7d+82//+FF17QCy+8IEnauXOn8vPz5ff75ff7g9bzTkpK0tq1a7Vo0SLdcsstOnbsmMaPH681a9boy1/+8mmeCtzs888/l8/nU3x8vAoLC53uDqIQOWSNGAFwGnXIGjGyr0cDoV27dlk+5te//rV+/etfd9o+aNAgLVu2rCdPC3Tp+PHjamtrU0JCgtNdQZQih6wRIwBOow5ZI0b2MSEUMcHj8Zj/AD1BDlkjRgCcRh2yRozs69XFEoCzZdy4cU53AVGOHLJGjAA4jTpkjRjZxxUhAAAAAK7DQAgAAACA6zAQAgAAAOA63COEmFBbWyu/3y+v16usrCynu4MoRA5ZI0YAnEYdskaM7GMghJhQXV1tLhXJmx49QQ5ZI0YAnEYdskaM7GNqHAAAAADX4YoQYkJeXp4CgYDi4hjbo2fIIWvECIDTqEPWiJF9DIQQEzIyMpzuAqIcOWSNGAFwGnXIGjGyj6EiAAAAANdhIAQAAADAdZgah5jg8/lkGIY8Ho/i40lrhI8cskaMADiNOmSNGNlHdBATKioqzKUiS0tLne4OohA5ZI0YAXAadcgaMbKPqXEAAAAAXIcrQogJ6enp8vl8XAJGj5FD1ogRAKdRh6wRI/uIEGJCQUGB011AlCOHrBEjAE6jDlkjRvYxNQ4AAACA6zAQAgAAAOA6DIQAAAAAuA73CCEm7Nixw7wxcNiwYU53B1GIHLJGjAA4jTpkjRjZx0AIMeHIkSPmmvlAT5BD1ogRAKdRh6wRI/uYGgcAAADAdbgihJhQUlLidBcQ5cgha8QIgNOoQ9aIkX0MhBATvF6v011AlCOHrBEjAE6jDlkjRvYxNQ4AAACA6zAQAgAAAOA6TI1DTGhoaFAgEFBcXJwyMzOd7g6iEDlkjRgBcBp1yBoxso+BEGJCVVWVuVQkb3r0BDlkjRgBcBp1yBoxso+pcQAAAABchytCiAlDhgwxLwMDPUEOWSNGAJxGHbJGjOxjIISYMHDgQKe7gChHDlkjRgCcRh2yRozsY6gIAAAAwHUYCAEAAABwHQZCAAAAAFyHe4QQEzZu3GguFVlaWup0dxCFyCFrxAiA06hD1oiRfVwLine truncated
"text/plain": [
"<Figure size 900x400 with 1 Axes>"
]
@@ -1792,7 +1792,7 @@
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