{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Keras and TensorFlow noisy linear model fit with LFI and MCMC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import tqdm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We're going to generate data from a model $f(x)=mx+c+\\epsilon$ where $m\\sim U(0, 10)$, $c\\sim(-2, 2)$ and $\\epsilon\\sim\\mathcal{N}(0, 1)$.\n",
    "\n",
    "This function generates the data on a regular grid and returns the data and the value of $m$ and $c$ which was used to generate the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def data_generator(x, number=100):\n",
    "    m = np.random.uniform(0, 10)\n",
    "    c = np.random.uniform(-2, 2)\n",
    "    ϵ = np.random.normal(0, 1, number)\n",
    "    return (m * np.linspace(0, 10, number) + c + ϵ).astype(np.float32), m, c"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For $x\\in[0, 10]$, we make 2000 realisations of the data for random values of $m$ and $c$ and collect the data and the parameter for training and validation. Be a bit careful with the typing (make your data 32 bit floats or state that keras is going to use 64 floats)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ccb2ee1067b7493abddd79951cc7cb9e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=0, max=2000), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.linspace(0, 10, 100)\n",
    "\n",
    "parameters = np.zeros((2000, 2)).astype(np.float32)\n",
    "y = np.zeros((2000, 100)).astype(np.float32)\n",
    "for i in tqdm.tnrange(2000):\n",
    "    y_, m_, c_ = data_generator(x)\n",
    "    parameters[i, 0] = m_\n",
    "    parameters[i, 1] = c_\n",
    "    y[i] = y_\n",
    "\n",
    "plt.plot(x, y.T, '.')\n",
    "plt.xlabel(\"x\")\n",
    "plt.ylabel(\"$f(x)$\")\n",
    "plt.xlim([0, 10])\n",
    "plt.ylim([y.min(), y.max()]);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lets say we observe some data from this model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The data has a true m = 1.0998862554461042 and c = -1.7751232589636916\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "y_observed, m_observed, c_observed = data_generator(x)\n",
    "print(\"The data has a true m = \" + str(m_observed) + \" and c = \" + str(c_observed))\n",
    "plt.scatter(x, y_observed, s=3, label=\"Observed data\")\n",
    "plt.plot(x, m_observed * x + c_observed, label=\"True model\")\n",
    "plt.xlabel(\"x\")\n",
    "plt.ylabel(\"$f(x)$\")\n",
    "plt.xlim([0, 10])\n",
    "plt.ylim([y_observed.min(), y_observed.max()])\n",
    "plt.legend(frameon=False);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Keras"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In keras (within TensorFlow) we make a fully connected neural model with two-hidden layers (with 16 nodes in each layer), activated with LeakyReLU ($\\max[x, \\alpha x]$), which takes in the 100 element data vector and has two outputs which we will regress to the $m$ and $c$ for the data. This network has 1,922 tunable parameters in total."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "dense (Dense)                (None, 16)                1616      \n",
      "_________________________________________________________________\n",
      "leaky_re_lu (LeakyReLU)      (None, 16)                0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 16)                272       \n",
      "_________________________________________________________________\n",
      "leaky_re_lu_1 (LeakyReLU)    (None, 16)                0         \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 2)                 34        \n",
      "_________________________________________________________________\n",
      "leaky_re_lu_2 (LeakyReLU)    (None, 2)                 0         \n",
      "=================================================================\n",
      "Total params: 1,922\n",
      "Trainable params: 1,922\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model = tf.keras.models.Sequential([\n",
    "    tf.keras.layers.Input(100),\n",
    "    tf.keras.layers.Dense(16),\n",
    "    tf.keras.layers.LeakyReLU(0.01),\n",
    "    tf.keras.layers.Dense(16),\n",
    "    tf.keras.layers.LeakyReLU(0.01),\n",
    "    tf.keras.layers.Dense(2),\n",
    "    tf.keras.layers.LeakyReLU(0.01),\n",
    "])\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We are going to minimise the mean square error $\\Lambda = \\frac{1}{N}\\sum_{i}^N(\\textrm{model}(y_i) - f(x_i))^2$ using an Adam optimiser (a stochastic gradient descent with a bunch of optimisations such as accumulated gradients)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.compile(optimizer=\"adam\", loss=\"mse\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can now fit the parameter on the model. We are going to use 1000 data-parameter pairs to update the weights and then validate on another 1000 seperate data-parameter pairs. We will make 2500 entire passes through the data with batches of 128 data-parameter pairs at in the average."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 1000 samples, validate on 1000 samples\n",
      "Epoch 1/2500\n",
      "1000/1000 [==============================] - 1s 708us/sample - loss: 15.7386 - val_loss: 5.5549\n",
      "Epoch 2/2500\n",
      "1000/1000 [==============================] - 0s 37us/sample - loss: 2.8408 - val_loss: 2.5956\n",
      "Epoch 3/2500\n",
      "1000/1000 [==============================] - 0s 59us/sample - loss: 1.6855 - val_loss: 1.7789\n",
      "Epoch 4/2500\n",
      "1000/1000 [==============================] - 0s 75us/sample - loss: 1.3363 - val_loss: 1.1824\n",
      "Epoch 5/2500\n",
      "1000/1000 [==============================] - 0s 71us/sample - loss: 1.1885 - val_loss: 1.0389\n",
      "Epoch 6/2500\n",
      "1000/1000 [==============================] - 0s 53us/sample - loss: 1.1043 - val_loss: 1.0494\n",
      "Epoch 7/2500\n",
      "1000/1000 [==============================] - 0s 64us/sample - loss: 1.0663 - val_loss: 0.9955\n",
      "Epoch 8/2500\n",
      "1000/1000 [==============================] - 0s 78us/sample - loss: 1.0474 - val_loss: 0.9926\n",
      "Epoch 9/2500\n",
      "1000/1000 [==============================] - 0s 76us/sample - loss: 1.0306 - val_loss: 0.9596\n",
      "Epoch 10/2500\n",
      "1000/1000 [==============================] - 0s 58us/sample - loss: 1.0043 - val_loss: 0.9582\n",
      "Epoch 11/2500\n",
      "1000/1000 [==============================] - 0s 71us/sample - loss: 1.0009 - val_loss: 0.9292\n",
      "Epoch 12/2500\n",
      "1000/1000 [==============================] - 0s 61us/sample - loss: 0.9758 - val_loss: 0.9312\n",
      "Epoch 13/2500\n",
      "1000/1000 [==============================] - 0s 40us/sample - loss: 0.9759 - val_loss: 0.9116\n",
      "Epoch 14/2500\n",
      "1000/1000 [==============================] - 0s 49us/sample - loss: 0.9722 - val_loss: 0.9348\n",
      "Epoch 15/2500\n",
      "1000/1000 [==============================] - 0s 74us/sample - loss: 0.9499 - val_loss: 0.8918\n",
      "Epoch 16/2500\n",
      "1000/1000 [==============================] - 0s 55us/sample - loss: 0.9325 - val_loss: 0.8777\n",
      "Epoch 17/2500\n",
      "1000/1000 [==============================] - 0s 43us/sample - loss: 0.9114 - val_loss: 0.8500\n",
      "Epoch 18/2500\n",
      "1000/1000 [==============================] - 0s 39us/sample - loss: 0.8370 - val_loss: 0.7834\n",
      "Epoch 19/2500\n",
      "1000/1000 [==============================] - 0s 42us/sample - loss: 0.7966 - val_loss: 0.8535\n",
      "Epoch 20/2500\n",
      "1000/1000 [==============================] - 0s 39us/sample - loss: 0.8489 - val_loss: 0.7973\n",
      "Epoch 21/2500\n",
      "1000/1000 [==============================] - 0s 37us/sample - loss: 0.7767 - val_loss: 0.7681\n",
      "Epoch 22/2500\n",
      "1000/1000 [==============================] - 0s 54us/sample - loss: 0.7609 - val_loss: 0.7218\n",
      "Epoch 23/2500\n",
      "1000/1000 [==============================] - 0s 61us/sample - loss: 0.7473 - val_loss: 0.6849\n",
      "Epoch 24/2500\n",
      "1000/1000 [==============================] - 0s 69us/sample - loss: 0.6949 - val_loss: 0.7076\n",
      "Epoch 25/2500\n",
      "1000/1000 [==============================] - 0s 51us/sample - loss: 0.6816 - val_loss: 0.6748\n",
      "Epoch 26/2500\n",
      "1000/1000 [==============================] - 0s 42us/sample - loss: 0.6707 - val_loss: 0.7686\n",
      "Epoch 27/2500\n",
      "1000/1000 [==============================] - 0s 36us/sample - loss: 0.7455 - val_loss: 0.6730\n",
      "Epoch 28/2500\n",
      "1000/1000 [==============================] - 0s 36us/sample - loss: 0.7743 - val_loss: 0.6761\n",
      "Epoch 29/2500\n",
      "1000/1000 [==============================] - 0s 41us/sample - loss: 0.7119 - val_loss: 0.6529\n",
      "Epoch 30/2500\n",
      "1000/1000 [==============================] - 0s 37us/sample - loss: 0.6729 - val_loss: 0.7035\n",
      "Epoch 31/2500\n",
      "1000/1000 [==============================] - 0s 39us/sample - loss: 0.6614 - val_loss: 0.6633\n",
      "Epoch 32/2500\n",
      "1000/1000 [==============================] - 0s 36us/sample - loss: 0.6393 - val_loss: 0.6417\n",
      "Epoch 33/2500\n",
      "1000/1000 [==============================] - 0s 36us/sample - loss: 0.6365 - val_loss: 0.6481\n",
      "Epoch 34/2500\n",
      "1000/1000 [==============================] - 0s 37us/sample - loss: 0.6346 - val_loss: 0.6422\n",
      "Epoch 35/2500\n",
      "1000/1000 [==============================] - 0s 35us/sample - loss: 0.6380 - val_loss: 0.6579\n",
      "Epoch 36/2500\n",
      "1000/1000 [==============================] - 0s 42us/sample - loss: 0.6698 - val_loss: 0.7572\n",
      "Epoch 37/2500\n",
      "1000/1000 [==============================] - 0s 36us/sample - loss: 0.6720 - val_loss: 0.6693\n",
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     ]
    },
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     ]
    },
    {
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     "text": [
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
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     ]
    },
    {
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     "text": [
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      "Epoch 901/2500\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "Epoch 1051/2500\n",
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
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      "Epoch 1199/2500\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
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      "Epoch 1200/2500\n",
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "1000/1000 [==============================] - 0s 40us/sample - loss: 0.0227 - val_loss: 0.0385\n",
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     ]
    },
    {
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     "text": [
      "1000/1000 [==============================] - 0s 33us/sample - loss: 0.0222 - val_loss: 0.0400\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
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     "text": [
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
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     ]
    },
    {
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     "text": [
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
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     ]
    },
    {
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     "text": [
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
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     ]
    },
    {
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     "text": [
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      "Epoch 2014/2500\n",
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     ]
    },
    {
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     "text": [
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
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     ]
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     "text": [
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      "1000/1000 [==============================] - 0s 38us/sample - loss: 0.0205 - val_loss: 0.0328\n",
      "Epoch 2351/2500\n",
      "1000/1000 [==============================] - 0s 29us/sample - loss: 0.0182 - val_loss: 0.0376\n",
      "Epoch 2352/2500\n",
      "1000/1000 [==============================] - 0s 30us/sample - loss: 0.0234 - val_loss: 0.0492\n",
      "Epoch 2353/2500\n",
      "1000/1000 [==============================] - 0s 34us/sample - loss: 0.0217 - val_loss: 0.0332\n",
      "Epoch 2354/2500\n",
      "1000/1000 [==============================] - 0s 31us/sample - loss: 0.0184 - val_loss: 0.0321\n",
      "Epoch 2355/2500\n",
      "1000/1000 [==============================] - 0s 29us/sample - loss: 0.0163 - val_loss: 0.0317\n",
      "Epoch 2356/2500\n",
      "1000/1000 [==============================] - 0s 62us/sample - loss: 0.0183 - val_loss: 0.0334\n",
      "Epoch 2357/2500\n",
      "1000/1000 [==============================] - 0s 37us/sample - loss: 0.0199 - val_loss: 0.0376\n",
      "Epoch 2358/2500\n",
      "1000/1000 [==============================] - 0s 47us/sample - loss: 0.0191 - val_loss: 0.0356\n",
      "Epoch 2359/2500\n",
      "1000/1000 [==============================] - 0s 33us/sample - loss: 0.0189 - val_loss: 0.0325\n",
      "Epoch 2360/2500\n",
      "1000/1000 [==============================] - 0s 30us/sample - loss: 0.0193 - val_loss: 0.0338\n",
      "Epoch 2361/2500\n",
      "1000/1000 [==============================] - 0s 28us/sample - loss: 0.0200 - val_loss: 0.0391\n",
      "Epoch 2362/2500\n",
      "1000/1000 [==============================] - 0s 68us/sample - loss: 0.0206 - val_loss: 0.0398\n",
      "Epoch 2363/2500\n",
      "1000/1000 [==============================] - 0s 37us/sample - loss: 0.0190 - val_loss: 0.0317\n",
      "Epoch 2364/2500\n",
      "1000/1000 [==============================] - 0s 72us/sample - loss: 0.0166 - val_loss: 0.0344\n",
      "Epoch 2365/2500\n",
      "1000/1000 [==============================] - 0s 79us/sample - loss: 0.0168 - val_loss: 0.0316\n",
      "Epoch 2366/2500\n",
      "1000/1000 [==============================] - 0s 67us/sample - loss: 0.0162 - val_loss: 0.0318\n",
      "Epoch 2367/2500\n",
      "1000/1000 [==============================] - 0s 73us/sample - loss: 0.0209 - val_loss: 0.0368\n",
      "Epoch 2368/2500\n",
      "1000/1000 [==============================] - 0s 66us/sample - loss: 0.0240 - val_loss: 0.0357\n",
      "Epoch 2369/2500\n",
      "1000/1000 [==============================] - 0s 58us/sample - loss: 0.0208 - val_loss: 0.0345\n",
      "Epoch 2370/2500\n",
      "1000/1000 [==============================] - 0s 76us/sample - loss: 0.0171 - val_loss: 0.0334\n",
      "Epoch 2371/2500\n",
      "1000/1000 [==============================] - 0s 142us/sample - loss: 0.0182 - val_loss: 0.0343\n",
      "Epoch 2372/2500\n",
      "1000/1000 [==============================] - 0s 127us/sample - loss: 0.0204 - val_loss: 0.0390\n",
      "Epoch 2373/2500\n",
      "1000/1000 [==============================] - 0s 68us/sample - loss: 0.0193 - val_loss: 0.0358\n",
      "Epoch 2374/2500\n",
      "1000/1000 [==============================] - 0s 113us/sample - loss: 0.0243 - val_loss: 0.0433\n",
      "Epoch 2375/2500\n",
      "1000/1000 [==============================] - 0s 55us/sample - loss: 0.0228 - val_loss: 0.0418\n",
      "Epoch 2376/2500\n",
      "1000/1000 [==============================] - 0s 54us/sample - loss: 0.0193 - val_loss: 0.0363\n",
      "Epoch 2377/2500\n",
      "1000/1000 [==============================] - 0s 40us/sample - loss: 0.0175 - val_loss: 0.0319\n",
      "Epoch 2378/2500\n",
      "1000/1000 [==============================] - 0s 38us/sample - loss: 0.0171 - val_loss: 0.0318\n",
      "Epoch 2379/2500\n",
      "1000/1000 [==============================] - 0s 30us/sample - loss: 0.0167 - val_loss: 0.0323\n",
      "Epoch 2380/2500\n",
      "1000/1000 [==============================] - 0s 31us/sample - loss: 0.0168 - val_loss: 0.0325\n",
      "Epoch 2381/2500\n",
      "1000/1000 [==============================] - 0s 35us/sample - loss: 0.0181 - val_loss: 0.0345\n",
      "Epoch 2382/2500\n",
      "1000/1000 [==============================] - 0s 26us/sample - loss: 0.0182 - val_loss: 0.0359\n",
      "Epoch 2383/2500\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1000/1000 [==============================] - 0s 30us/sample - loss: 0.0258 - val_loss: 0.0393\n",
      "Epoch 2384/2500\n",
      "1000/1000 [==============================] - 0s 28us/sample - loss: 0.0218 - val_loss: 0.0316\n",
      "Epoch 2385/2500\n",
      "1000/1000 [==============================] - 0s 26us/sample - loss: 0.0196 - val_loss: 0.0321\n",
      "Epoch 2386/2500\n",
      "1000/1000 [==============================] - 0s 29us/sample - loss: 0.0172 - val_loss: 0.0332\n",
      "Epoch 2387/2500\n",
      "1000/1000 [==============================] - 0s 26us/sample - loss: 0.0174 - val_loss: 0.0321\n",
      "Epoch 2388/2500\n",
      "1000/1000 [==============================] - 0s 28us/sample - loss: 0.0180 - val_loss: 0.0315\n",
      "Epoch 2389/2500\n",
      "1000/1000 [==============================] - 0s 27us/sample - loss: 0.0170 - val_loss: 0.0317\n",
      "Epoch 2390/2500\n",
      "1000/1000 [==============================] - 0s 29us/sample - loss: 0.0166 - val_loss: 0.0320\n",
      "Epoch 2391/2500\n",
      "1000/1000 [==============================] - 0s 29us/sample - loss: 0.0165 - val_loss: 0.0316\n",
      "Epoch 2392/2500\n",
      "1000/1000 [==============================] - 0s 28us/sample - loss: 0.0162 - val_loss: 0.0330\n",
      "Epoch 2393/2500\n",
      "1000/1000 [==============================] - 0s 29us/sample - loss: 0.0160 - val_loss: 0.0316\n",
      "Epoch 2394/2500\n",
      "1000/1000 [==============================] - 0s 25us/sample - loss: 0.0170 - val_loss: 0.0349\n",
      "Epoch 2395/2500\n",
      "1000/1000 [==============================] - 0s 28us/sample - loss: 0.0179 - val_loss: 0.0319\n",
      "Epoch 2396/2500\n",
      "1000/1000 [==============================] - 0s 29us/sample - loss: 0.0182 - val_loss: 0.0319\n",
      "Epoch 2397/2500\n",
      "1000/1000 [==============================] - 0s 29us/sample - loss: 0.0171 - val_loss: 0.0341\n",
      "Epoch 2398/2500\n",
      "1000/1000 [==============================] - 0s 28us/sample - loss: 0.0199 - val_loss: 0.0349\n",
      "Epoch 2399/2500\n",
      "1000/1000 [==============================] - 0s 35us/sample - loss: 0.0199 - val_loss: 0.0340\n",
      "Epoch 2400/2500\n",
      "1000/1000 [==============================] - 0s 35us/sample - loss: 0.0223 - val_loss: 0.0391\n",
      "Epoch 2401/2500\n",
      "1000/1000 [==============================] - 0s 37us/sample - loss: 0.0201 - val_loss: 0.0358\n",
      "Epoch 2402/2500\n",
      "1000/1000 [==============================] - 0s 43us/sample - loss: 0.0186 - val_loss: 0.0361\n",
      "Epoch 2403/2500\n",
      "1000/1000 [==============================] - 0s 36us/sample - loss: 0.0223 - val_loss: 0.0367\n",
      "Epoch 2404/2500\n",
      "1000/1000 [==============================] - 0s 37us/sample - loss: 0.0193 - val_loss: 0.0343\n",
      "Epoch 2405/2500\n",
      "1000/1000 [==============================] - 0s 42us/sample - loss: 0.0193 - val_loss: 0.0340\n",
      "Epoch 2406/2500\n",
      "1000/1000 [==============================] - 0s 40us/sample - loss: 0.0183 - val_loss: 0.0346\n",
      "Epoch 2407/2500\n",
      "1000/1000 [==============================] - 0s 42us/sample - loss: 0.0189 - val_loss: 0.0347\n",
      "Epoch 2408/2500\n",
      "1000/1000 [==============================] - 0s 36us/sample - loss: 0.0171 - val_loss: 0.0324\n",
      "Epoch 2409/2500\n",
      "1000/1000 [==============================] - 0s 36us/sample - loss: 0.0165 - val_loss: 0.0315\n",
      "Epoch 2410/2500\n",
      "1000/1000 [==============================] - 0s 41us/sample - loss: 0.0178 - val_loss: 0.0420\n",
      "Epoch 2411/2500\n",
      "1000/1000 [==============================] - 0s 39us/sample - loss: 0.0201 - val_loss: 0.0374\n",
      "Epoch 2412/2500\n",
      "1000/1000 [==============================] - 0s 33us/sample - loss: 0.0214 - val_loss: 0.0330\n",
      "Epoch 2413/2500\n",
      "1000/1000 [==============================] - 0s 34us/sample - loss: 0.0193 - val_loss: 0.0325\n",
      "Epoch 2414/2500\n",
      "1000/1000 [==============================] - 0s 39us/sample - loss: 0.0172 - val_loss: 0.0323\n",
      "Epoch 2415/2500\n",
      "1000/1000 [==============================] - 0s 39us/sample - loss: 0.0167 - val_loss: 0.0320\n",
      "Epoch 2416/2500\n",
      "1000/1000 [==============================] - 0s 32us/sample - loss: 0.0170 - val_loss: 0.0332\n",
      "Epoch 2417/2500\n",
      "1000/1000 [==============================] - 0s 36us/sample - loss: 0.0180 - val_loss: 0.0352\n",
      "Epoch 2418/2500\n",
      "1000/1000 [==============================] - 0s 47us/sample - loss: 0.0212 - val_loss: 0.0392\n",
      "Epoch 2419/2500\n",
      "1000/1000 [==============================] - 0s 51us/sample - loss: 0.0364 - val_loss: 0.0605\n",
      "Epoch 2420/2500\n",
      "1000/1000 [==============================] - 0s 37us/sample - loss: 0.0315 - val_loss: 0.0440\n",
      "Epoch 2421/2500\n",
      "1000/1000 [==============================] - 0s 35us/sample - loss: 0.0216 - val_loss: 0.0328\n",
      "Epoch 2422/2500\n",
      "1000/1000 [==============================] - 0s 32us/sample - loss: 0.0177 - val_loss: 0.0318\n",
      "Epoch 2423/2500\n",
      "1000/1000 [==============================] - 0s 34us/sample - loss: 0.0170 - val_loss: 0.0321\n",
      "Epoch 2424/2500\n",
      "1000/1000 [==============================] - 0s 28us/sample - loss: 0.0169 - val_loss: 0.0325\n",
      "Epoch 2425/2500\n",
      "1000/1000 [==============================] - 0s 28us/sample - loss: 0.0173 - val_loss: 0.0369\n",
      "Epoch 2426/2500\n",
      "1000/1000 [==============================] - 0s 31us/sample - loss: 0.0196 - val_loss: 0.0336\n",
      "Epoch 2427/2500\n",
      "1000/1000 [==============================] - 0s 26us/sample - loss: 0.0165 - val_loss: 0.0332\n",
      "Epoch 2428/2500\n",
      "1000/1000 [==============================] - 0s 28us/sample - loss: 0.0178 - val_loss: 0.0322\n",
      "Epoch 2429/2500\n",
      "1000/1000 [==============================] - 0s 29us/sample - loss: 0.0182 - val_loss: 0.0338\n",
      "Epoch 2430/2500\n",
      "1000/1000 [==============================] - 0s 37us/sample - loss: 0.0186 - val_loss: 0.0341\n",
      "Epoch 2431/2500\n",
      "1000/1000 [==============================] - 0s 43us/sample - loss: 0.0182 - val_loss: 0.0341\n",
      "Epoch 2432/2500\n",
      "1000/1000 [==============================] - 0s 44us/sample - loss: 0.0185 - val_loss: 0.0359\n",
      "Epoch 2433/2500\n",
      "1000/1000 [==============================] - 0s 38us/sample - loss: 0.0187 - val_loss: 0.0378\n",
      "Epoch 2434/2500\n",
      "1000/1000 [==============================] - 0s 36us/sample - loss: 0.0204 - val_loss: 0.0346\n",
      "Epoch 2435/2500\n",
      "1000/1000 [==============================] - 0s 33us/sample - loss: 0.0177 - val_loss: 0.0326\n",
      "Epoch 2436/2500\n",
      "1000/1000 [==============================] - 0s 38us/sample - loss: 0.0166 - val_loss: 0.0327\n",
      "Epoch 2437/2500\n",
      "1000/1000 [==============================] - 0s 40us/sample - loss: 0.0171 - val_loss: 0.0360\n",
      "Epoch 2438/2500\n",
      "1000/1000 [==============================] - 0s 41us/sample - loss: 0.0192 - val_loss: 0.0346\n",
      "Epoch 2439/2500\n",
      "1000/1000 [==============================] - 0s 31us/sample - loss: 0.0180 - val_loss: 0.0342\n",
      "Epoch 2440/2500\n",
      "1000/1000 [==============================] - 0s 33us/sample - loss: 0.0175 - val_loss: 0.0339\n",
      "Epoch 2441/2500\n",
      "1000/1000 [==============================] - 0s 33us/sample - loss: 0.0182 - val_loss: 0.0339\n",
      "Epoch 2442/2500\n",
      "1000/1000 [==============================] - 0s 32us/sample - loss: 0.0176 - val_loss: 0.0322\n",
      "Epoch 2443/2500\n",
      "1000/1000 [==============================] - 0s 33us/sample - loss: 0.0165 - val_loss: 0.0330\n",
      "Epoch 2444/2500\n",
      "1000/1000 [==============================] - 0s 37us/sample - loss: 0.0172 - val_loss: 0.0326\n",
      "Epoch 2445/2500\n",
      "1000/1000 [==============================] - 0s 28us/sample - loss: 0.0169 - val_loss: 0.0323\n",
      "Epoch 2446/2500\n",
      "1000/1000 [==============================] - 0s 33us/sample - loss: 0.0165 - val_loss: 0.0320\n",
      "Epoch 2447/2500\n",
      "1000/1000 [==============================] - 0s 34us/sample - loss: 0.0164 - val_loss: 0.0320\n",
      "Epoch 2448/2500\n",
      "1000/1000 [==============================] - 0s 27us/sample - loss: 0.0167 - val_loss: 0.0329\n",
      "Epoch 2449/2500\n",
      "1000/1000 [==============================] - 0s 33us/sample - loss: 0.0171 - val_loss: 0.0335\n",
      "Epoch 2450/2500\n",
      "1000/1000 [==============================] - 0s 26us/sample - loss: 0.0159 - val_loss: 0.0321\n",
      "Epoch 2451/2500\n",
      "1000/1000 [==============================] - 0s 35us/sample - loss: 0.0193 - val_loss: 0.0330\n",
      "Epoch 2452/2500\n",
      "1000/1000 [==============================] - 0s 40us/sample - loss: 0.0187 - val_loss: 0.0354\n",
      "Epoch 2453/2500\n",
      "1000/1000 [==============================] - 0s 40us/sample - loss: 0.0200 - val_loss: 0.0351\n",
      "Epoch 2454/2500\n",
      "1000/1000 [==============================] - 0s 37us/sample - loss: 0.0174 - val_loss: 0.0331\n",
      "Epoch 2455/2500\n",
      "1000/1000 [==============================] - 0s 27us/sample - loss: 0.0168 - val_loss: 0.0428\n",
      "Epoch 2456/2500\n",
      "1000/1000 [==============================] - 0s 35us/sample - loss: 0.0195 - val_loss: 0.0334\n",
      "Epoch 2457/2500\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1000/1000 [==============================] - 0s 31us/sample - loss: 0.0185 - val_loss: 0.0352\n",
      "Epoch 2458/2500\n",
      "1000/1000 [==============================] - 0s 28us/sample - loss: 0.0198 - val_loss: 0.0328\n",
      "Epoch 2459/2500\n",
      "1000/1000 [==============================] - 0s 34us/sample - loss: 0.0162 - val_loss: 0.0314\n",
      "Epoch 2460/2500\n",
      "1000/1000 [==============================] - 0s 28us/sample - loss: 0.0161 - val_loss: 0.0321\n",
      "Epoch 2461/2500\n",
      "1000/1000 [==============================] - 0s 30us/sample - loss: 0.0165 - val_loss: 0.0321\n",
      "Epoch 2462/2500\n",
      "1000/1000 [==============================] - 0s 30us/sample - loss: 0.0161 - val_loss: 0.0337\n",
      "Epoch 2463/2500\n",
      "1000/1000 [==============================] - 0s 26us/sample - loss: 0.0166 - val_loss: 0.0319\n",
      "Epoch 2464/2500\n",
      "1000/1000 [==============================] - 0s 34us/sample - loss: 0.0197 - val_loss: 0.0421\n",
      "Epoch 2465/2500\n",
      "1000/1000 [==============================] - 0s 27us/sample - loss: 0.0194 - val_loss: 0.0331\n",
      "Epoch 2466/2500\n",
      "1000/1000 [==============================] - 0s 29us/sample - loss: 0.0193 - val_loss: 0.0340\n",
      "Epoch 2467/2500\n",
      "1000/1000 [==============================] - 0s 29us/sample - loss: 0.0219 - val_loss: 0.0365\n",
      "Epoch 2468/2500\n",
      "1000/1000 [==============================] - 0s 26us/sample - loss: 0.0205 - val_loss: 0.0350\n",
      "Epoch 2469/2500\n",
      "1000/1000 [==============================] - 0s 31us/sample - loss: 0.0193 - val_loss: 0.0374\n",
      "Epoch 2470/2500\n",
      "1000/1000 [==============================] - 0s 27us/sample - loss: 0.0210 - val_loss: 0.0346\n",
      "Epoch 2471/2500\n",
      "1000/1000 [==============================] - 0s 28us/sample - loss: 0.0182 - val_loss: 0.0378\n",
      "Epoch 2472/2500\n",
      "1000/1000 [==============================] - 0s 32us/sample - loss: 0.0207 - val_loss: 0.0392\n",
      "Epoch 2473/2500\n",
      "1000/1000 [==============================] - 0s 26us/sample - loss: 0.0266 - val_loss: 0.0391\n",
      "Epoch 2474/2500\n",
      "1000/1000 [==============================] - 0s 30us/sample - loss: 0.0246 - val_loss: 0.0403\n",
      "Epoch 2475/2500\n",
      "1000/1000 [==============================] - 0s 26us/sample - loss: 0.0192 - val_loss: 0.0356\n",
      "Epoch 2476/2500\n",
      "1000/1000 [==============================] - 0s 30us/sample - loss: 0.0186 - val_loss: 0.0348\n",
      "Epoch 2477/2500\n",
      "1000/1000 [==============================] - 0s 30us/sample - loss: 0.0186 - val_loss: 0.0331\n",
      "Epoch 2478/2500\n",
      "1000/1000 [==============================] - 0s 28us/sample - loss: 0.0176 - val_loss: 0.0339\n",
      "Epoch 2479/2500\n",
      "1000/1000 [==============================] - 0s 33us/sample - loss: 0.0175 - val_loss: 0.0335\n",
      "Epoch 2480/2500\n",
      "1000/1000 [==============================] - 0s 26us/sample - loss: 0.0185 - val_loss: 0.0340\n",
      "Epoch 2481/2500\n",
      "1000/1000 [==============================] - 0s 31us/sample - loss: 0.0182 - val_loss: 0.0317\n",
      "Epoch 2482/2500\n",
      "1000/1000 [==============================] - 0s 28us/sample - loss: 0.0165 - val_loss: 0.0315\n",
      "Epoch 2483/2500\n",
      "1000/1000 [==============================] - 0s 26us/sample - loss: 0.0161 - val_loss: 0.0315\n",
      "Epoch 2484/2500\n",
      "1000/1000 [==============================] - 0s 29us/sample - loss: 0.0156 - val_loss: 0.0327\n",
      "Epoch 2485/2500\n",
      "1000/1000 [==============================] - 0s 26us/sample - loss: 0.0158 - val_loss: 0.0331\n",
      "Epoch 2486/2500\n",
      "1000/1000 [==============================] - 0s 34us/sample - loss: 0.0169 - val_loss: 0.0321\n",
      "Epoch 2487/2500\n",
      "1000/1000 [==============================] - 0s 30us/sample - loss: 0.0171 - val_loss: 0.0346\n",
      "Epoch 2488/2500\n",
      "1000/1000 [==============================] - 0s 28us/sample - loss: 0.0173 - val_loss: 0.0323\n",
      "Epoch 2489/2500\n",
      "1000/1000 [==============================] - 0s 30us/sample - loss: 0.0181 - val_loss: 0.0357\n",
      "Epoch 2490/2500\n",
      "1000/1000 [==============================] - 0s 25us/sample - loss: 0.0227 - val_loss: 0.0373\n",
      "Epoch 2491/2500\n",
      "1000/1000 [==============================] - 0s 30us/sample - loss: 0.0191 - val_loss: 0.0333\n",
      "Epoch 2492/2500\n",
      "1000/1000 [==============================] - 0s 30us/sample - loss: 0.0165 - val_loss: 0.0409\n",
      "Epoch 2493/2500\n",
      "1000/1000 [==============================] - 0s 28us/sample - loss: 0.0188 - val_loss: 0.0350\n",
      "Epoch 2494/2500\n",
      "1000/1000 [==============================] - 0s 36us/sample - loss: 0.0181 - val_loss: 0.0335\n",
      "Epoch 2495/2500\n",
      "1000/1000 [==============================] - 0s 28us/sample - loss: 0.0177 - val_loss: 0.0353\n",
      "Epoch 2496/2500\n",
      "1000/1000 [==============================] - 0s 27us/sample - loss: 0.0165 - val_loss: 0.0315\n",
      "Epoch 2497/2500\n",
      "1000/1000 [==============================] - 0s 29us/sample - loss: 0.0168 - val_loss: 0.0329\n",
      "Epoch 2498/2500\n",
      "1000/1000 [==============================] - 0s 26us/sample - loss: 0.0164 - val_loss: 0.0346\n",
      "Epoch 2499/2500\n",
      "1000/1000 [==============================] - 0s 33us/sample - loss: 0.0163 - val_loss: 0.0327\n",
      "Epoch 2500/2500\n",
      "1000/1000 [==============================] - 0s 32us/sample - loss: 0.0163 - val_loss: 0.0334\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<tensorflow.python.keras.callbacks.History at 0x10d475e90>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(x=y[:1000], \n",
    "          y=parameters[:1000], \n",
    "          validation_data=(y[1000:], parameters[1000:]), \n",
    "          epochs=2500,\n",
    "          batch_size=128)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can plot the mean square error as a function of epochs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(model.history.history[\"loss\"])\n",
    "plt.plot(model.history.history[\"val_loss\"])\n",
    "plt.xlabel(\"Epochs\")\n",
    "plt.ylabel(\"MSE\")\n",
    "plt.yscale(\"log\")\n",
    "plt.xlim([0, 2500]);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can compare the values of $m$ and $c$ for our observed data (created earlier) with our new trained predictor."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The data has a true m = 1.0998862554461042 and c = -1.7751232589636916\n",
      "The keras model has a predicted m = 1.0012007 and c = -1.7813333\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "keras_predicted = model.predict(np.array([y_observed]))\n",
    "plt.scatter(x, y_observed, s=3, label=\"Observed data\")\n",
    "plt.plot(x, m_observed * x + c_observed, label=\"True model\")\n",
    "plt.plot(x, keras_predicted[0, 0] * x + keras_predicted[0, 1], label=\"keras prediction\");\n",
    "plt.xlabel(\"x\")\n",
    "plt.ylabel(\"$f(x)$\")\n",
    "plt.xlim([0, 10])\n",
    "plt.ylim([y_observed.min(), y_observed.max()])\n",
    "plt.legend(frameon=False);\n",
    "print(\"The data has a true m = \" + str(m_observed) + \" and c = \" + str(c_observed))\n",
    "print(\"The keras model has a predicted m = \" + str(keras_predicted[0, 0]) + \" and c = \" + str(keras_predicted[0, 1]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TensorFlow\n",
    "\n",
    "We can do the same using TensorFlow (in several ways). The most basic way to do it is to use a keras model as before, but we can really build an optimal loss function (although here we will still use the mean square error).\n",
    "\n",
    "In this method we can build the model in exactly the same way, but we need to select which optimiser we want to use (we will use the Adam optimiser again)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "dense (Dense)                (None, 16)                1616      \n",
      "_________________________________________________________________\n",
      "leaky_re_lu (LeakyReLU)      (None, 16)                0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 16)                272       \n",
      "_________________________________________________________________\n",
      "leaky_re_lu_1 (LeakyReLU)    (None, 16)                0         \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 2)                 34        \n",
      "_________________________________________________________________\n",
      "leaky_re_lu_2 (LeakyReLU)    (None, 2)                 0         \n",
      "=================================================================\n",
      "Total params: 1,922\n",
      "Trainable params: 1,922\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model_2 = tf.keras.models.Sequential([\n",
    "    tf.keras.layers.Input(100),\n",
    "    tf.keras.layers.Dense(16),\n",
    "    tf.keras.layers.LeakyReLU(0.01),\n",
    "    tf.keras.layers.Dense(16),\n",
    "    tf.keras.layers.LeakyReLU(0.01),\n",
    "    tf.keras.layers.Dense(2),\n",
    "    tf.keras.layers.LeakyReLU(0.01),\n",
    "])\n",
    "model.summary()\n",
    "opt = tf.keras.optimizers.Adam()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First we need a function which calculates the loss function. This is done with TensorFlow functions which are overloaded for pythonic scripting. Note not everything is overloaded, so I personally prefer to use the defined TensorFlow functions. Using the tf.function decorator makes the function auto-compile into a graph which will be automatically deployed on a GPU is one is available."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "@tf.function\n",
    "def calculate_loss(y, parameters):\n",
    "    output = model_2(y)\n",
    "    return tf.reduce_mean(\n",
    "        tf.square(\n",
    "            tf.subtract(\n",
    "                output, \n",
    "                parameters))) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To train the TensorFlow model we need calculate the loss and take the gradient of it with respect to the model_2 variables. Then we can use the optimiser to perform a single weight update step (according to the Adam optimiser). Note that if you decorate this function with `@tf.function` any function which is called within it is automatically auto-graphed, even if that function doesn't have a `@tf.function` decoration. A common stumbling block with the `tf.GradientTape()` is that anything that you want to have the gradient of has to be calculated within the tape - this includes slicing operations and other things you wouldn't expect."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "@tf.function\n",
    "def train(y, parameters):\n",
    "    with tf.GradientTape() as tape:\n",
    "        tape.watch(model_2.variables)\n",
    "        loss = calculate_loss(y, parameters)\n",
    "    gradients = tape.gradient(loss, model_2.variables)\n",
    "    opt.apply_gradients(zip(gradients, model_2.variables))\n",
    "    return loss"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In a mindless way, we are going to collect the loss and validation loss in lists at the end of each epoch."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "loss = []\n",
    "val_loss = []"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can fit the model. We will do 2500 full passes of the data with weight updates performed on batches of 128 data at a time, with 1000 simulations for training and 1000 for validation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2692ea8bc6ab4461af284ec0e042ba02",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=0, description='Epochs', max=2500, style=ProgressStyle(description_width='ini…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a6f82b084e11459a908615c2fe0951f6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=0, description='Batch', max=7, style=ProgressStyle(description_width='initial…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "epochs = 2500\n",
    "batch_size = 128\n",
    "training_size = 1000\n",
    "validation_size = 2000 - training_size\n",
    "\n",
    "batches = int(training_size / batch_size)\n",
    "val_batches = int(validation_size / batch_size)\n",
    "\n",
    "epoch_bar = tqdm.tnrange(epochs, desc=\"Epochs\")\n",
    "batch_bar = tqdm.tnrange(batches, desc=\"Batch\")\n",
    "\n",
    "indices = np.arange(training_size, dtype=np.int64)\n",
    "\n",
    "validation_data = y[training_size: training_size + val_batches * batch_size].reshape(\n",
    "    (val_batches, batch_size, 100))\n",
    "validation_parameters = parameters[training_size: training_size + val_batches * batch_size].reshape(\n",
    "    (val_batches, batch_size, 2))\n",
    "\n",
    "for epoch in epoch_bar:\n",
    "    np.random.shuffle(indices)\n",
    "    training_data = y[indices[:batches * batch_size]].reshape((batches, batch_size, 100))\n",
    "    training_parameters = parameters[indices[:batches * batch_size]].reshape((batches, batch_size, 2))\n",
    "    for batch in batch_bar:\n",
    "        this_loss = train(training_data[batch], training_parameters[batch])\n",
    "    loss.append(this_loss.numpy())\n",
    "    this_val_loss = 0.\n",
    "    for batch in range(val_batches):\n",
    "        this_val_loss += (calculate_loss(validation_data[batch], validation_parameters[batch]) \n",
    "                              / float(val_batches))\n",
    "    val_loss.append(this_val_loss.numpy())\n",
    "    epoch_bar.set_postfix(loss=this_loss.numpy(), val_loss=this_val_loss.numpy())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(loss)\n",
    "plt.plot(val_loss)\n",
    "plt.xlabel(\"Epochs\")\n",
    "plt.ylabel(\"MSE\")\n",
    "plt.yscale(\"log\")\n",
    "plt.xlim([0, 2500]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The data has a true m = 1.0998862554461042 and c = -1.7751232589636916\n",
      "The keras model has a predicted m = 1.0012007 and c = -1.7813333\n",
      "The TensorFlow model has a predicted m = 1.0289211 and c = -1.7442932\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tensorflow_predicted = model_2(np.array([y_observed])).numpy()\n",
    "plt.scatter(x, y_observed, s=3, label=\"Observed data\")\n",
    "plt.plot(x, m_observed * x + c_observed, label=\"True model\")\n",
    "plt.plot(x, keras_predicted[0, 0] * x + keras_predicted[0, 1], label=\"keras prediction\");\n",
    "plt.plot(x, tensorflow_predicted[0, 0] * x + tensorflow_predicted[0, 1], \n",
    "         label=\"TensorFlow prediction\");\n",
    "plt.xlabel(\"x\")\n",
    "plt.ylabel(\"$f(x)$\")\n",
    "plt.xlim([0, 10])\n",
    "plt.ylim([y_observed.min(), y_observed.max()])\n",
    "plt.legend(frameon=False);\n",
    "print(\"The data has a true m = \" + str(m_observed) + \" and c = \" + str(c_observed))\n",
    "print(\"The keras model has a predicted m = \" + str(keras_predicted[0, 0]) + \" and c = \" + str(keras_predicted[0, 1]))\n",
    "print(\"The TensorFlow model has a predicted m = \" + str(tensorflow_predicted[0, 0]) + \" and c = \" + str(tensorflow_predicted[0, 1]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notice how none of the values are the same - even for the same selection of data, but different initialisation of weights and different shuffling of data... suspicious..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Likelihood Free Inference "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can do the first order, most stupid, likelihood-free inference, approximate Bayesian computation (ABC). Here we draw 100000 simulations of the data from the prior distributions of $p(m)=U(0, 10)$ and $p(c)=U(-2, 2)$ and our linear model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e2ce468e95664f80b99a33cb4298af2a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=0, max=100000), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "ABC_parameters = np.zeros((100000, 2)).astype(np.float32)\n",
    "ABC_y = np.zeros((100000, 100)).astype(np.float32)\n",
    "for i in tqdm.tnrange(100000):\n",
    "    y_, m_, c_ = data_generator(x)\n",
    "    ABC_parameters[i, 0] = m_\n",
    "    ABC_parameters[i, 1] = c_\n",
    "    ABC_y[i] = y_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we calculate the summaries (outputs) of the network for all of this data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "keras_summaries = model(ABC_y).numpy()\n",
    "\n",
    "tensorflow_summaries = model_2(ABC_y).numpy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next we calculate the Euclidean distance between the simulation summaries and the prediction of the observed data. The Euclidean distances is the optimal distance measure for maximum likelihood estimates of the parameter values. The outputs of the network won't be exactly the maximum likelihood estimates, but they'll probably be very close, and so the distances will probably be close. Note that this choice of distance measure is necessary because we're using ABC and not DELFI (density estimation likelihood free inference)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "keras_differences = (keras_summaries - keras_predicted)\n",
    "keras_distances = np.sqrt(np.sum(keras_differences**2., axis=1))\n",
    "\n",
    "tensorflow_differences = (tensorflow_summaries - tensorflow_predicted)\n",
    "tensorflow_distances = np.sqrt(np.sum(keras_differences**2., axis=1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's say we want to have 1000 points within our posterior histogram, we can choose some epsilon parameter which selects this quantity."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "keras_ϵ = np.sort(keras_distances)[1000]\n",
    "tensorflow_ϵ = np.sort(tensorflow_distances)[1000]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our accepted samples are any samples whose distances are less than $\\epsilon$ away from the observed data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "keras_accepted = np.where(keras_distances < keras_ϵ)[0]\n",
    "keras_rejected = np.where(keras_distances >= keras_ϵ)[0]\n",
    "\n",
    "tensorflow_accepted = np.where(tensorflow_distances < tensorflow_ϵ)[0]\n",
    "tensorflow_rejected = np.where(tensorflow_distances >= tensorflow_ϵ)[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we select the parameters which were used to make the simulations which are accepted (which look most like the prediction of the parameters of the observed data)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "keras_keep = ABC_parameters[keras_accepted]\n",
    "keras_throw_away = ABC_parameters[keras_rejected]\n",
    "\n",
    "tensorflow_keep = ABC_parameters[tensorflow_accepted]\n",
    "tensorflow_throw_away = ABC_parameters[tensorflow_rejected]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can look at which samples are accepted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 2, figsize=(9, 4))\n",
    "plt.subplots_adjust(wspace=0.25)\n",
    "ax[0].scatter(keras_throw_away[:, 0], keras_throw_away[:, 1], s=1, color=\"C1\", alpha=0.1)\n",
    "ax[0].scatter(keras_keep[:, 0], keras_keep[:, 1], s=1, color=\"C0\")\n",
    "ax[0].set_xlim([0, 10])\n",
    "ax[0].set_ylim([-2, 2])\n",
    "ax[0].axvline(m_observed, color=\"black\", linestyle=\"dashed\", label=\"True parameter values\")\n",
    "ax[0].axhline(c_observed, color=\"black\", linestyle=\"dashed\")\n",
    "ax[0].set_xlabel(\"$m$\")\n",
    "ax[0].set_ylabel(\"$c$\")\n",
    "ax[0].set_title(\"samples accepted from keras model\")\n",
    "ax[0].legend(loc=2, frameon=False)\n",
    "\n",
    "ax[1].scatter(tensorflow_throw_away[:, 0], tensorflow_throw_away[:, 1], s=1, color=\"C4\", alpha=0.1)\n",
    "ax[1].scatter(tensorflow_keep[:, 0], tensorflow_keep[:, 1], s=1, color=\"C2\")\n",
    "ax[1].set_xlim([0, 10])\n",
    "ax[1].set_ylim([-2, 2])\n",
    "ax[1].axvline(m_observed, color=\"black\", linestyle=\"dashed\", label=\"True parameter values\")\n",
    "ax[1].axhline(c_observed, color=\"black\", linestyle=\"dashed\")\n",
    "ax[1].set_xlabel(\"$m$\")\n",
    "ax[1].set_ylabel(\"$c$\")\n",
    "ax[1].set_title(\"samples accepted from TensorFlow model\")\n",
    "ax[1].legend(loc=2, frameon=False);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also plot the outputs of the network which might be indicative of biases (or maybe not)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 2, figsize=(9, 4))\n",
    "plt.subplots_adjust(wspace=0.25)\n",
    "ax[0].scatter(keras_summaries[keras_rejected, 0], keras_summaries[keras_rejected, 1], s=1, color=\"C1\", alpha=0.1)\n",
    "ax[0].scatter(keras_summaries[keras_accepted, 0], keras_summaries[keras_accepted, 1], s=1, color=\"C0\")\n",
    "ax[0].set_xlim([np.min(keras_summaries[:, 0]), np.max(keras_summaries[:, 0])])\n",
    "ax[0].set_ylim([np.min(keras_summaries[:, 1]), np.max(keras_summaries[:, 1])])\n",
    "ax[0].axhline(keras_predicted[0, 1], color=\"black\", linestyle=\"dashed\", label=\"Observed summary\")\n",
    "ax[0].axvline(keras_predicted[0, 0], color=\"black\", linestyle=\"dashed\")\n",
    "ax[0].set_xlabel(\"keras summary 1\")\n",
    "ax[0].set_ylabel(\"keras summary 2\")\n",
    "ax[0].legend(loc=2, frameon=False)\n",
    "\n",
    "ax[1].scatter(tensorflow_summaries[tensorflow_rejected, 0], tensorflow_summaries[tensorflow_rejected, 1], s=1, color=\"C4\")\n",
    "ax[1].scatter(tensorflow_summaries[tensorflow_accepted, 0], tensorflow_summaries[tensorflow_accepted, 1], s=1, color=\"C2\", alpha=0.1)\n",
    "ax[1].set_xlim([np.min(tensorflow_summaries[:, 0]), np.max(tensorflow_summaries[:, 0])])\n",
    "ax[1].set_ylim([np.min(tensorflow_summaries[:, 1]), np.max(tensorflow_summaries[:, 1])])\n",
    "ax[1].axhline(tensorflow_predicted[0, 1], color=\"black\", linestyle=\"dashed\", label=\"Observed summary\")\n",
    "ax[1].axvline(tensorflow_predicted[0, 0], color=\"black\", linestyle=\"dashed\")\n",
    "ax[1].set_xlabel(\"TensorFlow summary 1\")\n",
    "ax[1].set_ylabel(\"TensorFlow summary 2\")\n",
    "ax[1].legend(loc=2, frameon=False);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And the inference can be done with histograms of the accepted samples for the keras and Tensorflow predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(2, 2, figsize=(9, 9))\n",
    "plt.subplots_adjust(wspace=0,hspace=0)\n",
    "ax[0, 0].hist(keras_keep[:, 0], \n",
    "              bins=20, \n",
    "              range=[0, 10], \n",
    "              density=True, \n",
    "              color=\"C2\", \n",
    "              alpha=0.5,\n",
    "              label=\"keras distribution\")\n",
    "ax[0, 0].hist(tensorflow_keep[:, 0],\n",
    "              bins=20, \n",
    "              range=[0, 10], \n",
    "              density=True, \n",
    "              color=\"C4\", \n",
    "              linewidth=2, \n",
    "              histtype=\"step\",\n",
    "              label=\"TensorFlow distribution\")\n",
    "ax[0, 0].legend(frameon=False)\n",
    "ax[0, 0].set_ylabel(\"$p(m|y_{\\\\rm observed})$\")\n",
    "ax[0, 0].set_xticks([])\n",
    "ax[0, 0].set_yticks([])\n",
    "ax[0, 0].set_xlim([0, 10])\n",
    "ax[0, 0].axvline(m_observed, \n",
    "                 color=\"black\", \n",
    "                 linestyle=\"dashed\")\n",
    "ax[1, 0].hexbin(keras_keep[:, 0], \n",
    "                keras_keep[:, 1], \n",
    "                gridsize=(20, 20), \n",
    "                extent=(0, 10, -2, 2),\n",
    "                cmap=plt.cm.Greens)\n",
    "ax[1, 0].hexbin(tensorflow_keep[:, 0], \n",
    "                tensorflow_keep[:, 1], \n",
    "                gridsize=(20, 20), \n",
    "                extent=(0, 10, -2, 2),\n",
    "                cmap=plt.cm.Purples,\n",
    "                facecolor=\"none\",\n",
    "                linewidth=4)\n",
    "ax[1, 0].axvline(m_observed, \n",
    "                 color=\"black\", \n",
    "                 linestyle=\"dashed\", \n",
    "                 label=\"True model parameters\")\n",
    "ax[1, 0].axhline(c_observed, \n",
    "                 color=\"black\", \n",
    "                 linestyle=\"dashed\")\n",
    "ax[1, 0].legend(frameon=False)\n",
    "ax[1, 0].set_xlim([0, 10])\n",
    "ax[1, 0].set_ylim([-2, 2])\n",
    "ax[1, 0].set_xlabel(\"$m$\")\n",
    "ax[1, 0].set_ylabel(\"$c$\")\n",
    "ax[0, 1].axis(\"off\")\n",
    "ax[1 ,1].set_ylim([-2, 2])\n",
    "ax[1, 1].set_xticks([])\n",
    "ax[1, 1].set_yticks([])\n",
    "ax[1, 1].hist(keras_keep[:, 1],\n",
    "              bins=20, \n",
    "              density=True, \n",
    "              color=\"C2\", \n",
    "              alpha=0.5, \n",
    "              orientation=\"horizontal\")\n",
    "ax[1, 1].hist(tensorflow_keep[:, 1],\n",
    "              bins=20, \n",
    "              density=True, \n",
    "              color=\"C4\", \n",
    "              orientation=\"horizontal\",\n",
    "              linewidth=2, \n",
    "              histtype=\"step\",)\n",
    "ax[1, 1].set_xlabel(\"$p(c|y_{\\\\rm observed})$\")\n",
    "ax[1, 1].axhline(c_observed,\n",
    "                 color=\"black\", \n",
    "                 linestyle=\"dashed\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# MCMC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "def evaluate_likelihood(y, m, c):\n",
    "    Gaussian_likelihood = np.prod(np.exp(-0.5 * ((m * x + c) - y)**2.) / np.sqrt(2. * np.pi))\n",
    "    m_prior = 1. / 10.\n",
    "    c_prior = 1. / 4.\n",
    "    return Gaussian_likelihood * m_prior * c_prior"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "def sampler(y, L, m_proposed, c_proposed):\n",
    "    L_proposed = evaluate_likelihood(y, m_proposed, c_proposed)\n",
    "    α = min(1., L_proposed / L)\n",
    "    u = np.random.uniform(0, 1)\n",
    "    if α >= u:\n",
    "        return True, L_proposed, m_proposed, c_proposed\n",
    "    else:\n",
    "        return False, None, None, None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "def markov_chain(y, chain):\n",
    "    size = 0.1\n",
    "    proposed = np.random.multivariate_normal(chain[-1, 2:], size * np.eye(2))\n",
    "    while ((proposed[0] < 0) or (proposed[1] < -2) \n",
    "           or (proposed[0] > 10) or (proposed[1] > 10)):\n",
    "        proposed = np.random.multivariate_normal(chain[-1, 2:], size * np.eye(2))\n",
    "    accept, L, m, c = sampler(y, chain[-1, 1], proposed[0], proposed[1])\n",
    "    if accept:\n",
    "        chain = np.vstack([chain, np.array([1, L, m, c])])\n",
    "    else:\n",
    "        chain[-1, 0] += 1\n",
    "    return chain"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "m_init = np.random.uniform(0, 10)\n",
    "c_init = np.random.uniform(-2, 2)\n",
    "L_init = evaluate_likelihood(y_observed, m_init, c_init)\n",
    "chain = np.array([[1, L_init, m_init, c_init]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6232d91127594ceb9eb6d49a8bef79c3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=0, description='Sample', max=50000, style=ProgressStyle(description_width='in…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/charnock/Library/Python/3.7/lib/python/site-packages/ipykernel_launcher.py:3: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n",
      "/Users/charnock/Library/Python/3.7/lib/python/site-packages/ipykernel_launcher.py:3: RuntimeWarning: divide by zero encountered in double_scalars\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n"
     ]
    }
   ],
   "source": [
    "bar = tqdm.tnrange(50000, desc=\"Sample\")\n",
    "for sample in bar:\n",
    "    chain = markov_chain(y_observed, chain)\n",
    "    bar.set_postfix(L=chain[-1, 1], m=chain[-1, 2], c=chain[-1, 3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "burn_in = 5000\n",
    "ind = 0\n",
    "value = 0\n",
    "for i, samples in enumerate(chain[:, 0]):\n",
    "    value += samples\n",
    "    if value >= burn_in:\n",
    "        ind = i\n",
    "        break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(2, 2, figsize=(9, 9))\n",
    "plt.subplots_adjust(wspace=0,hspace=0)\n",
    "ax[0, 0].hist(keras_keep[:, 0], \n",
    "              bins=20, \n",
    "              range=[0, 10], \n",
    "              density=True, \n",
    "              color=\"C2\", \n",
    "              alpha=0.5,\n",
    "              label=\"keras distribution\")\n",
    "ax[0, 0].hist(tensorflow_keep[:, 0],\n",
    "              bins=20, \n",
    "              range=[0, 10], \n",
    "              density=True, \n",
    "              color=\"C4\", \n",
    "              linewidth=2, \n",
    "              histtype=\"step\",\n",
    "              label=\"TensorFlow distribution\")\n",
    "ax[0, 0].hist(chain[ind:, 2],\n",
    "              weights=chain[ind:,0],\n",
    "              bins=20, \n",
    "              range=[0, 10], \n",
    "              density=True, \n",
    "              color=\"C3\", \n",
    "              linewidth=2, \n",
    "              histtype=\"step\",\n",
    "              label=\"MCMC distribution\")\n",
    "ax[0, 0].legend(frameon=False)\n",
    "ax[0, 0].set_ylabel(\"$p(m|y_{\\\\rm observed})$\")\n",
    "ax[0, 0].set_xticks([])\n",
    "ax[0, 0].set_yticks([])\n",
    "ax[0, 0].set_xlim([0, 10])\n",
    "ax[0, 0].axvline(m_observed, \n",
    "                 color=\"black\", \n",
    "                 linestyle=\"dashed\")\n",
    "ax[1, 0].hexbin(keras_keep[:, 0], \n",
    "                keras_keep[:, 1], \n",
    "                gridsize=(20, 20), \n",
    "                extent=(0, 10, -2, 2),\n",
    "                cmap=plt.cm.Greens)\n",
    "ax[1, 0].hexbin(tensorflow_keep[:, 0], \n",
    "                tensorflow_keep[:, 1], \n",
    "                gridsize=(20, 20), \n",
    "                extent=(0, 10, -2, 2),\n",
    "                cmap=plt.cm.Purples,\n",
    "                facecolor=\"none\",\n",
    "                linewidth=4)\n",
    "ax[1, 0].hexbin(chain[ind:, 2],\n",
    "                chain[ind:, 3],\n",
    "                C=chain[ind:, 0], \n",
    "                gridsize=(20, 20), \n",
    "                extent=(0, 10, -2, 2),\n",
    "                cmap=plt.cm.Reds)\n",
    "ax[1, 0].axvline(m_observed, \n",
    "                 color=\"black\", \n",
    "                 linestyle=\"dashed\", \n",
    "                 label=\"True model parameters\")\n",
    "ax[1, 0].axhline(c_observed, \n",
    "                 color=\"black\", \n",
    "                 linestyle=\"dashed\")\n",
    "ax[1, 0].legend(frameon=False)\n",
    "ax[1, 0].set_xlim([0, 10])\n",
    "ax[1, 0].set_ylim([-2, 2])\n",
    "ax[1, 0].set_xlabel(\"$m$\")\n",
    "ax[1, 0].set_ylabel(\"$c$\")\n",
    "ax[0, 1].axis(\"off\")\n",
    "ax[1 ,1].set_ylim([-2, 2])\n",
    "ax[1, 1].set_xticks([])\n",
    "ax[1, 1].set_yticks([])\n",
    "ax[1, 1].hist(keras_keep[:, 1],\n",
    "              bins=20, \n",
    "              density=True, \n",
    "              color=\"C2\", \n",
    "              alpha=0.5, \n",
    "              orientation=\"horizontal\")\n",
    "ax[1, 1].hist(tensorflow_keep[:, 1],\n",
    "              bins=20, \n",
    "              density=True, \n",
    "              color=\"C4\", \n",
    "              orientation=\"horizontal\",\n",
    "              linewidth=2, \n",
    "              histtype=\"step\",)\n",
    "ax[1, 1].hist(chain[ind:, 3],\n",
    "              weights=chain[ind:, 0],\n",
    "              bins=20, \n",
    "              density=True, \n",
    "              color=\"C3\", \n",
    "              orientation=\"horizontal\",\n",
    "              linewidth=2, \n",
    "              histtype=\"step\",)\n",
    "ax[1, 1].set_xlabel(\"$p(c|y_{\\\\rm observed})$\")\n",
    "ax[1, 1].axhline(c_observed,\n",
    "                 color=\"black\", \n",
    "                 linestyle=\"dashed\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The distributions aren't the same, but LFI distributions are compatible (have wider variance than the MCMC), this is guaranteed to be true, i.e. there won't be zero probabality with the LFI distribution where there is positive probability from the MCMC posterior. Note that the LFI isn't supposed to be an approximation of the posterior, it is the posterior given some summaries (rather than the full data). The fact that these distributions have greater variance means that the networks are losing some information. It might be worth trying the IMNN (github.com/tomcharnock/IMNN.git) and pydelfi (github.com/justinalsing/pydelfi.git)."
   ]
  }
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