extra_gradient_descent_comparison.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Comparison of Batch, Mini-Batch and Stochastic Gradient Descent"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook displays an animation comparing Batch, Mini-Batch and Stochastic Gradient Descent (introduced in Chapter 4). Thanks to [Daniel Ingram](https://github.com/daniel-s-ingram) who contributed this notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from __future__ import print_function, division, unicode_literals\n",
    "import numpy as np\n",
    "\n",
    "%matplotlib nbagg\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.animation import FuncAnimation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "m = 100\n",
    "X = 2*np.random.rand(m, 1)\n",
    "X_b = np.c_[np.ones((m, 1)), X]\n",
    "y = 4 + 3*X + np.random.rand(m, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def batch_gradient_descent():\n",
    "    n_iterations = 1000\n",
    "    learning_rate = 0.05\n",
    "    thetas = np.random.randn(2, 1)\n",
    "    thetas_path = [thetas]\n",
    "    for i in range(n_iterations):\n",
    "        gradients = 2*X_b.T.dot(X_b.dot(thetas) - y)/m\n",
    "        thetas = thetas - learning_rate*gradients\n",
    "        thetas_path.append(thetas)\n",
    "\n",
    "    return thetas_path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def stochastic_gradient_descent():\n",
    "    n_epochs = 50\n",
    "    t0, t1 = 5, 50\n",
    "    thetas = np.random.randn(2, 1)\n",
    "    thetas_path = [thetas]\n",
    "    for epoch in range(n_epochs):\n",
    "        for i in range(m):\n",
    "            random_index = np.random.randint(m)\n",
    "            xi = X_b[random_index:random_index+1]\n",
    "            yi = y[random_index:random_index+1]\n",
    "            gradients = 2*xi.T.dot(xi.dot(thetas) - yi)\n",
    "            eta = learning_schedule(epoch*m + i, t0, t1)\n",
    "            thetas = thetas - eta*gradients\n",
    "            thetas_path.append(thetas)\n",
    "\n",
    "    return thetas_path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def mini_batch_gradient_descent():\n",
    "    n_iterations = 50\n",
    "    minibatch_size = 20\n",
    "    t0, t1 = 200, 1000\n",
    "    thetas = np.random.randn(2, 1)\n",
    "    thetas_path = [thetas]\n",
    "    t = 0\n",
    "    for epoch in range(n_iterations):\n",
    "        shuffled_indices = np.random.permutation(m)\n",
    "        X_b_shuffled = X_b[shuffled_indices]\n",
    "        y_shuffled = y[shuffled_indices]\n",
    "        for i in range(0, m, minibatch_size):\n",
    "            t += 1\n",
    "            xi = X_b_shuffled[i:i+minibatch_size]\n",
    "            yi = y_shuffled[i:i+minibatch_size]\n",
    "            gradients = 2*xi.T.dot(xi.dot(thetas) - yi)/minibatch_size\n",
    "            eta = learning_schedule(t, t0, t1)\n",
    "            thetas = thetas - eta*gradients\n",
    "            thetas_path.append(thetas)\n",
    "\n",
    "    return thetas_path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def compute_mse(theta):\n",
    "    return np.sum((np.dot(X_b, theta) - y)**2)/m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def learning_schedule(t, t0, t1):\n",
    "    return t0/(t+t1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "theta0, theta1 = np.meshgrid(np.arange(0, 5, 0.1), np.arange(0, 5, 0.1))\n",
    "r, c = theta0.shape\n",
    "cost_map = np.array([[0 for _ in range(c)] for _ in range(r)])\n",
    "for i in range(r):\n",
    "    for j in range(c):\n",
    "        theta = np.array([theta0[i,j], theta1[i,j]])\n",
    "        cost_map[i,j] = compute_mse(theta)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "exact_solution = np.linalg.inv(X_b.T.dot(X_b)).dot(X_b.T).dot(y)\n",
    "bgd_thetas = np.array(batch_gradient_descent())\n",
    "sgd_thetas = np.array(stochastic_gradient_descent())\n",
    "mbgd_thetas = np.array(mini_batch_gradient_descent())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "bgd_len = len(bgd_thetas)\n",
    "sgd_len = len(sgd_thetas)\n",
    "mbgd_len = len(mbgd_thetas)\n",
    "n_iter = min(bgd_len, sgd_len, mbgd_len)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
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       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
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       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
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       "            return fig.mouse_event(event, event['data']);\n",
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       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
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       "\n",
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       "\n",
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       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
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       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
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       "    this._resize_canvas(600, 600);\n",
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       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
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       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
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       "    for (var ind in mpl.extensions) {\n",
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       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
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       "\n",
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       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
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       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
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       "    }\n",
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       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x107d27f28>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(10, 5))\n",
    "data_ax = fig.add_subplot(121)\n",
    "cost_ax = fig.add_subplot(122)\n",
    "\n",
    "cost_ax.plot(exact_solution[0,0], exact_solution[1,0], 'y*')\n",
    "cost_img = cost_ax.pcolor(theta0, theta1, cost_map)\n",
    "fig.colorbar(cost_img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def animate(i):\n",
    "    data_ax.cla()\n",
    "    cost_ax.cla()\n",
    "\n",
    "    data_ax.plot(X, y, 'k.')\n",
    "\n",
    "    cost_ax.plot(exact_solution[0,0], exact_solution[1,0], 'y*')\n",
    "    cost_ax.pcolor(theta0, theta1, cost_map)\n",
    "\n",
    "    data_ax.plot(X, X_b.dot(bgd_thetas[i,:]), 'r-')\n",
    "    cost_ax.plot(bgd_thetas[:i,0], bgd_thetas[:i,1], 'r--')\n",
    "\n",
    "    data_ax.plot(X, X_b.dot(sgd_thetas[i,:]), 'g-')\n",
    "    cost_ax.plot(sgd_thetas[:i,0], sgd_thetas[:i,1], 'g--')\n",
    "\n",
    "    data_ax.plot(X, X_b.dot(mbgd_thetas[i,:]), 'b-')\n",
    "    cost_ax.plot(mbgd_thetas[:i,0], mbgd_thetas[:i,1], 'b--')\n",
    "\n",
    "    data_ax.set_xlim([0, 2])\n",
    "    data_ax.set_ylim([0, 15])\n",
    "    cost_ax.set_xlim([0, 5])\n",
    "    cost_ax.set_ylim([0, 5])\n",
    "\n",
    "    data_ax.set_xlabel(r'$x_1$')\n",
    "    data_ax.set_ylabel(r'$y$', rotation=0)\n",
    "    cost_ax.set_xlabel(r'$\\theta_0$')\n",
    "    cost_ax.set_ylabel(r'$\\theta_1$')\n",
    "\n",
    "    data_ax.legend(('Data', 'BGD', 'SGD', 'MBGD'), loc=\"upper left\")\n",
    "    cost_ax.legend(('Normal Equation', 'BGD', 'SGD', 'MBGD'), loc=\"upper left\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "animation = FuncAnimation(fig, animate, frames=n_iter)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}