109 lines
12 KiB
Text
109 lines
12 KiB
Text
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{
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"cells": [
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<h1>Function for getting scores: Sigmoid fucntion</h1>"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"75.50813375962909\n"
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]
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}
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],
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"source": [
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"\n",
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"mean_stocks = 5\n",
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"value_stock = 4\n",
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"\n",
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"score= (200/(1+math.e**( 0.5*(mean_stocks-value_stock))))\n",
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"\n",
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"print(score)\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": "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"text/plain": [
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"<Figure size 600x400 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "1e6dab8358774ba1b4a796b47bbf6360",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"interactive(children=(IntSlider(value=1, description='w', max=10), FloatSlider(value=1.0, description='amp', m…"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"import ipywidgets as widgets\n",
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"import matplotlib.pyplot as plt\n",
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"import numpy as np\n",
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"# set up plot\n",
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"fig, ax = plt.subplots(figsize=(6, 4))\n",
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"ax.set_ylim([-4, 4])\n",
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"ax.grid(True)\n",
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" \n",
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"# generate x values\n",
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"x = np.linspace(0, 2 * np.pi, 100)\n",
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" \n",
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" \n",
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"def my_sine(x, w, amp, phi):\n",
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" \"\"\"\n",
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" Return a sine for x with angular frequeny w and amplitude amp.\n",
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" \"\"\"\n",
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" return amp*np.sin(w * (x-phi))\n",
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" \n",
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" \n",
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"@widgets.interact(w=(0, 10, 1), amp=(0, 4, .1), phi=(0, 2*np.pi+0.01, 0.01))\n",
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"def update(w = 1.0, amp=1, phi=0):\n",
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" \"\"\"Remove old lines from plot and plot new one\"\"\"\n",
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" [l.remove() for l in ax.lines]\n",
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" ax.plot(x, my_sine(x, w, amp, phi), color='C0')\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"language_info": {
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"name": "python"
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},
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"orig_nbformat": 4
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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