pyFTSex/tutorial/pyFTS/developer/Severiano_et_al_HighOrderFTS.ipynb

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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "Severiano%20et%20al%20-%20HighOrderFTS.ipynb",
"version": "0.3.2",
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"[View in Colaboratory](https://colab.research.google.com/github/petroniocandido/pyFTS/blob/master/Severiano_et_al_HighOrderFTS.ipynb)"
]
},
{
"metadata": {
"id": "LECjF0Ih4bXm",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# High Order Fuzzy Time Series \n",
"\n",
"Severiano, S. A. Jr; Silva, P. C. L.; Sadaei, H. J.; Guimarães, F. G. Very Short-term Solar Forecasting using Fuzzy Time Series. 2017 IEEE International Conference on Fuzzy Systems. DOI10.1109/FUZZ-IEEE.2017.8015732"
]
},
{
"metadata": {
"id": "bt5SUyR_41QI",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# Installing Dependencies"
]
},
{
"metadata": {
"id": "VaCseqr04j8A",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 156
},
"outputId": "14db5e02-2cac-4a2c-d21f-ec39c394f09b"
},
"cell_type": "code",
"source": [
"!pip install -U git+https://github.com/petroniocandido/pyFTS/\n",
"!pip install dill"
],
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"text": [
"Collecting git+https://github.com/petroniocandido/pyFTS/\r\n",
" Cloning https://github.com/petroniocandido/pyFTS/ to /tmp/pip-req-build-vcsdyoq1\n",
"Building wheels for collected packages: pyFTS\n",
" Running setup.py bdist_wheel for pyFTS ... \u001b[?25l-\b \b\\\b \bdone\n",
"\u001b[?25h Stored in directory: /tmp/pip-ephem-wheel-cache-es_qve_2/wheels/e3/3e/f8/37b9ff061c854fc9e0fa76a2b7d69265bca326b1ab452b0f7b\n",
"Successfully built pyFTS\n",
"Installing collected packages: pyFTS\n",
"Successfully installed pyFTS-1.2.2\n"
],
"name": "stdout"
}
]
},
{
"metadata": {
"id": "Tfabj8ct5BxA",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 173
},
"outputId": "4e4b0160-39b5-4192-b5b9-24448abe0fbe"
},
"cell_type": "code",
"source": [
""
],
"execution_count": 5,
"outputs": [
{
"output_type": "stream",
"text": [
"Collecting dill\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/91/a0/19d4d31dee064fc553ae01263b5c55e7fb93daff03a69debbedee647c5a0/dill-0.2.7.1.tar.gz (64kB)\n",
"\u001b[K 100% |████████████████████████████████| 71kB 2.5MB/s \n",
"\u001b[?25hBuilding wheels for collected packages: dill\n",
" Running setup.py bdist_wheel for dill ... \u001b[?25l-\b \bdone\n",
"\u001b[?25h Stored in directory: /content/.cache/pip/wheels/99/c4/ed/1b64d2d5809e60d5a3685530432f6159d6a9959739facb61f2\n",
"Successfully built dill\n",
"Installing collected packages: dill\n",
"Successfully installed dill-0.2.7.1\n"
],
"name": "stdout"
}
]
},
{
"metadata": {
"id": "YtFB2zFY4bXo",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# Common Imports"
]
},
{
"metadata": {
"id": "6KiF_L3a4bXq",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 72
},
"outputId": "e36b309e-55d7-4509-d1c4-fc067fb5c26c"
},
"cell_type": "code",
"source": [
"import matplotlib.pylab as plt\n",
"from pyFTS.benchmarks import benchmarks as bchmk\n",
"from pyFTS.models import hofts\n",
"\n",
"from pyFTS.common import Transformations\n",
"tdiff = Transformations.Differential(1)\n",
"\n",
"%matplotlib notebook"
],
"execution_count": 6,
"outputs": [
{
"output_type": "stream",
"text": [
"/usr/local/lib/python3.6/dist-packages/statsmodels/compat/pandas.py:56: FutureWarning: The pandas.core.datetools module is deprecated and will be removed in a future version. Please use the pandas.tseries module instead.\n",
" from pandas.core import datetools\n"
],
"name": "stderr"
}
]
},
{
"metadata": {
"id": "Y-bjmmLL4bX4",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# Data Loading"
]
},
{
"metadata": {
"id": "QyZ3Atrh4bX4",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 17
},
"outputId": "160d74b1-db39-42aa-8f40-319cdf1ec539"
},
"cell_type": "code",
"source": [
"from pyFTS.data import Enrollments\n",
"\n",
"enrollments = Enrollments.get_data()\n",
"\n"
],
"execution_count": 7,
"outputs": []
},
{
"metadata": {
"id": "FH6Ftxi84bYI",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# Exploring the partitioning effects on original data"
]
},
{
"metadata": {
"id": "VJwW-vTA4bYK",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 309
},
"outputId": "b195fa22-4234-4dd1-c322-db734a371b7d"
},
"cell_type": "code",
"source": [
"tmp = bchmk.simpleSearch_RMSE(enrollments, enrollments, hofts.HighOrderFTS, range(1,20), [1, 2, 3], tam=[10, 5])"
],
"execution_count": 8,
"outputs": [
{
"output_type": "display_data",
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" 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 overriden (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": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"text/html": [
"<div id='b6c84c8c-3033-4934-b717-943d5e4e03a7'></div>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "error",
"ename": "TypeError",
"evalue": "ignored",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-8-fd17c65014be>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtmp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbchmk\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msimpleSearch_RMSE\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0menrollments\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0menrollments\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhofts\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mHighOrderFTS\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m20\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m3\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtam\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m5\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m/usr/local/lib/python3.6/dist-packages/pyFTS/benchmarks/benchmarks.py\u001b[0m in \u001b[0;36msimpleSearch_RMSE\u001b[0;34m(train, test, model, partitions, orders, save, file, tam, plotforecasts, elev, azim, intervals, parameters, partitioner, transformation, indexer)\u001b[0m\n\u001b[1;32m 1021\u001b[0m \u001b[0msets\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpartitioner\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtrain\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnpart\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtransformation\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtransformation\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msets\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1022\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0moc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mo\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0morders\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstart\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1023\u001b[0;31m \u001b[0mfts\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"q = \"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mp\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m\" n = \"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mo\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1024\u001b[0m \u001b[0mfts\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend_transformation\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtransformation\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1025\u001b[0m \u001b[0mfts\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrain\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrain\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msets\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msets\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0morder\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mo\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mparameters\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mparameters\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mTypeError\u001b[0m: __init__() takes 1 positional argument but 2 were given"
]
}
]
},
{
"metadata": {
"id": "_UOMwImD4bYQ",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# Exploring the partitioning effects on transformed data"
]
},
{
"metadata": {
"id": "XklqZLej4bYS",
"colab_type": "code",
"colab": {},
"outputId": "5d4b36ce-7cfe-47db-b042-cc06f2360c53"
},
"cell_type": "code",
"source": [
"tmp = bchmk.simpleSearch_RMSE(enrollments, enrollments, hofts.HighOrderFTS, range(1,20), [1, 2, 3], \n",
" transformation=tdiff, tam=[10, 5])"
],
"execution_count": 0,
"outputs": [
{
"output_type": "display_data",
"data": {
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"text/plain": [
"<matplotlib.figure.Figure at 0x7fc8d83e7da0>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"metadata": {
"id": "G8ZtOrkM4bYa",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# Comparing the partitioning schemas"
]
},
{
"metadata": {
"id": "m4mtcEcH4bYe",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 17
},
"outputId": "efbbd93b-7564-44eb-fabd-943b50489b8f"
},
"cell_type": "code",
"source": [
"from pyFTS.partitioners import Grid, Util as pUtil\n",
"\n",
"fuzzy_sets = Grid.GridPartitioner(data=enrollments, npart=12)\n",
"fuzzy_sets2 = Grid.GridPartitioner(data=enrollments, npart=5, transformation=tdiff)\n",
"\n",
"pUtil.plot_partitioners(enrollments, [fuzzy_sets,fuzzy_sets2])"
],
"execution_count": 9,
"outputs": [
{
"output_type": "display_data",
"data": {
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"\n",
"\n",
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" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
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"\n",
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"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
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" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
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" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
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"\n",
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"\n",
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"\n",
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" }\n",
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"\n",
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" // almost always do), so we need to clear the canvas so that\n",
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" }\n",
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"\n",
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"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" 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",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\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",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" 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",
" canvas_div.css('height', height)\n",
"\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",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\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) {\n",
" // put a spacer in here.\n",
" 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",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\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",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\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 overriden (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": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"text/html": [
"<div id='86829fcf-b1de-4149-b276-897600307260'></div>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"metadata": {
"id": "1ydjwILQ4bYk",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# Fitting a model on original data"
]
},
{
"metadata": {
"id": "_CLNLG0C4bYm",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1580
},
"outputId": "28e8629a-af79-400f-bf87-ba38f9eae5b4"
},
"cell_type": "code",
"source": [
"model1 = hofts.HighOrderFTS(partitioner=fuzzy_sets)\n",
"model1.fit(enrollments, order=3)\n",
"\n",
"print(model1)"
],
"execution_count": 11,
"outputs": [
{
"output_type": "stream",
"text": [
"High Order FTS:\n",
"A1,A2,A2 -> A3,A4\n",
"A1,A2,A3 -> A3,A4\n",
"A1,A3,A2 -> A3,A4\n",
"A1,A3,A3 -> A3,A4\n",
"A10,A10,A10 -> A8,A9\n",
"A10,A10,A9 -> A8,A9\n",
"A10,A9,A10 -> A8,A9\n",
"A10,A9,A9 -> A8,A9\n",
"A2,A2,A2 -> A3,A4\n",
"A2,A2,A3 -> A3,A4,A5\n",
"A2,A2,A4 -> A4,A5\n",
"A2,A3,A2 -> A3,A4\n",
"A2,A3,A3 -> A3,A4,A5\n",
"A2,A3,A4 -> A4,A5\n",
"A2,A3,A5 -> A4,A5\n",
"A2,A4,A4 -> A4,A5\n",
"A2,A4,A5 -> A4,A5\n",
"A3,A2,A3 -> A4,A5\n",
"A3,A2,A4 -> A4,A5\n",
"A3,A3,A3 -> A4,A5\n",
"A3,A3,A4 -> A4,A5\n",
"A3,A3,A5 -> A4,A5\n",
"A3,A4,A4 -> A4,A5\n",
"A3,A4,A5 -> A4,A5\n",
"A3,A5,A4 -> A4,A5\n",
"A3,A5,A5 -> A4,A5\n",
"A4,A4,A4 -> A4,A5,A6\n",
"A4,A4,A5 -> A4,A5,A6,A7\n",
"A4,A4,A6 -> A6,A7\n",
"A4,A5,A4 -> A4,A5,A6\n",
"A4,A5,A5 -> A4,A5,A6,A7\n",
"A4,A5,A6 -> A6,A7,A8,A9\n",
"A4,A5,A7 -> A6,A7,A8,A9\n",
"A4,A6,A6 -> A6,A7,A8,A9\n",
"A4,A6,A7 -> A6,A7,A8,A9\n",
"A5,A4,A4 -> A4,A5,A6\n",
"A5,A4,A5 -> A4,A5,A6,A7\n",
"A5,A4,A6 -> A6,A7\n",
"A5,A5,A4 -> A4,A5,A6\n",
"A5,A5,A5 -> A4,A5,A6,A7\n",
"A5,A5,A6 -> A6,A7,A8,A9\n",
"A5,A5,A7 -> A6,A7,A8,A9\n",
"A5,A6,A6 -> A5,A6,A7,A8,A9\n",
"A5,A6,A7 -> A5,A6,A7,A8,A9\n",
"A5,A6,A8 -> A10,A9\n",
"A5,A6,A9 -> A10,A9\n",
"A5,A7,A6 -> A5,A6\n",
"A5,A7,A7 -> A5,A6\n",
"A5,A7,A8 -> A10,A9\n",
"A5,A7,A9 -> A10,A9\n",
"A6,A4,A4 -> A4,A5\n",
"A6,A4,A5 -> A4,A5\n",
"A6,A5,A4 -> A4,A5\n",
"A6,A5,A5 -> A4,A5\n",
"A6,A6,A4 -> A4,A5\n",
"A6,A6,A5 -> A4,A5\n",
"A6,A6,A6 -> A4,A5,A6\n",
"A6,A6,A7 -> A5,A6\n",
"A6,A6,A8 -> A10,A9\n",
"A6,A6,A9 -> A10,A9\n",
"A6,A7,A5 -> A4,A5\n",
"A6,A7,A6 -> A4,A5,A6\n",
"A6,A7,A7 -> A5,A6\n",
"A6,A7,A8 -> A10,A9\n",
"A6,A7,A9 -> A10,A9\n",
"A6,A8,A10 -> A10,A9\n",
"A6,A8,A9 -> A10,A9\n",
"A6,A9,A10 -> A10,A9\n",
"A6,A9,A9 -> A10,A9\n",
"A7,A5,A4 -> A4,A5\n",
"A7,A5,A5 -> A4,A5\n",
"A7,A6,A4 -> A4,A5\n",
"A7,A6,A5 -> A4,A5\n",
"A7,A6,A6 -> A4,A5\n",
"A7,A7,A5 -> A4,A5\n",
"A7,A7,A6 -> A4,A5\n",
"A7,A8,A10 -> A10,A9\n",
"A7,A8,A9 -> A10,A9\n",
"A7,A9,A10 -> A10,A9\n",
"A7,A9,A9 -> A10,A9\n",
"A8,A10,A10 -> A10,A9\n",
"A8,A10,A9 -> A10,A9\n",
"A8,A9,A10 -> A10,A9\n",
"A8,A9,A9 -> A10,A9\n",
"A9,A10,A10 -> A10,A8,A9\n",
"A9,A10,A9 -> A10,A8,A9\n",
"A9,A9,A10 -> A10,A8,A9\n",
"A9,A9,A9 -> A10,A8,A9\n",
"\n"
],
"name": "stdout"
}
]
},
{
"metadata": {
"id": "2zR6gy0T4bYw",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# Fitting a model on transformed data"
]
},
{
"metadata": {
"id": "RSDUHX2M4bYw",
"colab_type": "code",
"colab": {},
"outputId": "4e2ad3c8-7c61-4277-b746-f1bbf5d9c7c7"
},
"cell_type": "code",
"source": [
"model2 = hofts.HighOrderFTS(\"FTS Diff\", partitioner=fuzzy_sets2)\n",
"model2.append_transformation(tdiff)\n",
"model2.fit(enrollments, order=3)\n",
"\n",
"print(model2)"
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
"text": [
"[ 17:43:16] Start training\n",
"[ 17:43:16] Finish training\n",
"High Order FTS:\n",
"A0,A1,A2 -> A2,A3\n",
"A0,A1,A3 -> A2,A3\n",
"A0,A2,A2 -> A2,A3\n",
"A0,A2,A3 -> A2,A3,A4\n",
"A0,A2,A4 -> A4\n",
"A0,A3,A3 -> A4\n",
"A0,A3,A4 -> A4\n",
"A1,A0,A1 -> A2,A3\n",
"A1,A0,A2 -> A2,A3\n",
"A1,A1,A0 -> A1,A2\n",
"A1,A1,A1 -> A1,A2,A3\n",
"A1,A1,A2 -> A2,A3\n",
"A1,A1,A3 -> A2,A3\n",
"A1,A1,A4 -> A2,A3\n",
"A1,A2,A0 -> A1,A2\n",
"A1,A2,A1 -> A1,A2\n",
"A1,A2,A2 -> A1,A2,A3,A4\n",
"A1,A2,A3 -> A2,A3,A4\n",
"A1,A2,A4 -> A2,A3,A4\n",
"A1,A3,A1 -> A1,A2\n",
"A1,A3,A2 -> A1,A2,A3,A4\n",
"A1,A3,A3 -> A2,A3,A4\n",
"A1,A3,A4 -> A4\n",
"A1,A4,A2 -> A2,A3\n",
"A1,A4,A3 -> A2,A3\n",
"A2,A0,A1 -> A2,A3\n",
"A2,A0,A2 -> A2,A3,A4\n",
"A2,A0,A3 -> A3,A4\n",
"A2,A1,A0 -> A1,A2\n",
"A2,A1,A1 -> A0,A1,A2,A3,A4\n",
"A2,A1,A2 -> A0,A1,A2,A3,A4\n",
"A2,A1,A3 -> A1,A2,A3,A4\n",
"A2,A1,A4 -> A2,A3\n",
"A2,A2,A0 -> A1,A2,A3\n",
"A2,A2,A1 -> A0,A1,A2,A3,A4\n",
"A2,A2,A2 -> A0,A1,A2,A3,A4\n",
"A2,A2,A3 -> A1,A2,A3,A4\n",
"A2,A2,A4 -> A2,A3\n",
"A2,A3,A0 -> A2,A3\n",
"A2,A3,A1 -> A1,A2,A3\n",
"A2,A3,A2 -> A1,A2,A3,A4\n",
"A2,A3,A3 -> A1,A2,A3,A4\n",
"A2,A3,A4 -> A2,A3\n",
"A2,A4,A2 -> A1,A2,A3\n",
"A2,A4,A3 -> A1,A2,A3\n",
"A2,A4,A4 -> A2,A3\n",
"A3,A0,A2 -> A3,A4\n",
"A3,A0,A3 -> A3,A4\n",
"A3,A1,A1 -> A0,A1,A3,A4\n",
"A3,A1,A2 -> A0,A1,A2,A3,A4\n",
"A3,A1,A3 -> A1,A2,A3,A4\n",
"A3,A2,A0 -> A2,A3\n",
"A3,A2,A1 -> A0,A1,A2,A3,A4\n",
"A3,A2,A2 -> A0,A1,A2,A3,A4\n",
"A3,A2,A3 -> A0,A1,A2\n",
"A3,A3,A0 -> A2,A3\n",
"A3,A3,A1 -> A1,A2,A3\n",
"A3,A3,A2 -> A0,A1,A2\n",
"A3,A3,A3 -> A0,A1,A2\n",
"A3,A3,A4 -> A2,A3\n",
"A3,A4,A2 -> A1,A2,A3,A4\n",
"A3,A4,A3 -> A1,A2,A3,A4\n",
"A3,A4,A4 -> A2,A3\n",
"A4,A2,A1 -> A1,A2\n",
"A4,A2,A2 -> A0,A1,A2\n",
"A4,A2,A3 -> A0,A1,A2,A3\n",
"A4,A2,A4 -> A2,A3\n",
"A4,A3,A1 -> A1,A2\n",
"A4,A3,A2 -> A0,A1,A2\n",
"A4,A3,A3 -> A0,A1,A2,A3\n",
"A4,A3,A4 -> A2,A3\n",
"A4,A4,A2 -> A3,A4\n",
"A4,A4,A3 -> A3,A4\n",
"\n"
],
"name": "stdout"
}
]
},
{
"metadata": {
"id": "ykON1zuy4bY4",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# Using the models"
]
},
{
"metadata": {
"id": "MPekYeeK4bY6",
"colab_type": "code",
"colab": {},
"outputId": "66c8cd78-3297-4816-8a1a-4663b6e83d7e"
},
"cell_type": "code",
"source": [
"model1.predict(enrollments)"
],
"execution_count": 0,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"[14923.233333333337,\n",
" 15319.950000000004,\n",
" 15319.950000000004,\n",
" 16113.383333333339,\n",
" 16113.383333333339,\n",
" 17700.250000000007,\n",
" 17303.53333333334,\n",
" 16113.383333333339,\n",
" 15319.950000000004,\n",
" 15319.950000000004,\n",
" 15319.950000000004,\n",
" 16113.383333333339,\n",
" 16113.383333333339,\n",
" 17700.250000000007,\n",
" 17303.53333333334,\n",
" 19287.116666666676,\n",
" 19287.116666666676,\n",
" 18890.40000000001,\n",
" 18890.40000000001,\n",
" 18890.40000000001]"
]
},
"metadata": {
"tags": []
},
"execution_count": 11
}
]
},
{
"metadata": {
"id": "0s30is-Q4bZA",
"colab_type": "code",
"colab": {},
"outputId": "01de2adb-f7b2-4b20-ee7e-1d5545be4c38"
},
"cell_type": "code",
"source": [
"model2.predict(enrollments)"
],
"execution_count": 0,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"[12941.02,\n",
" 14511.2,\n",
" 15028.14,\n",
" 15126.2,\n",
" 15171.14,\n",
" 15182.08,\n",
" 16375.14,\n",
" 16734.2,\n",
" 16944.38,\n",
" 15248.2,\n",
" 15806.32,\n",
" 14960.2,\n",
" 14978.2,\n",
" 15058.02,\n",
" 16427.14,\n",
" 17718.14,\n",
" 18538.14,\n",
" 19390.260000000002,\n",
" 19152.2,\n",
" 18691.2]"
]
},
"metadata": {
"tags": []
},
"execution_count": 12
}
]
},
{
"metadata": {
"id": "hUY7J9Ib4bZI",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# Comparing the models"
]
},
{
"metadata": {
"id": "n0xAzMgw4bZK",
"colab_type": "code",
"colab": {},
"outputId": "bab1d187-5ad3-44ef-91b3-ab05ecd8754d"
},
"cell_type": "code",
"source": [
"bchmk.plot_compared_series(enrollments, [model1, model2], bchmk.colors, intervals=False)"
],
"execution_count": 0,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAABQwAAAE/CAYAAAADu44SAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nqK6u7vAefX19E
"text/plain": [
"<matplotlib.figure.Figure at 0x7fc8d8365438>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"metadata": {
"id": "q_wIGA7w4bZQ",
"colab_type": "code",
"colab": {},
"outputId": "5f9804b0-6ce4-4a53-8134-8f9adca9c1a5"
},
"cell_type": "code",
"source": [
"bchmk.print_point_statistics(enrollments, [model1, model2])"
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
"text": [
"Model\t\t& Order & RMSE\t\t& SMAPE & Theil's U\t\t\\\\ \n",
"HOFTSFTS\t\t& 3\t\t& 466.65\t\t& 1.06\t\t& 0.76\t\\\\ \n",
"HOFTSFTS Diff\t\t& 3\t\t& 1029.5\t\t& 2.66\t\t& 1.68\t\\\\ \n",
"\n"
],
"name": "stdout"
}
]
},
{
"metadata": {
"id": "hHY2S2FI4bZo",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# Residual Analysis"
]
},
{
"metadata": {
"id": "Vgq_7eqJ4bZq",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"from pyFTS.benchmarks import ResidualAnalysis as ra\n",
"\n",
"ra.plot_residuals(enrollments, [model1, model2])"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "Enhigq7b4bZy",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
""
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "G_SB68Lw4bZ4",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
""
],
"execution_count": 0,
"outputs": []
}
]
}