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Assignment 1 #137

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100 changes: 100 additions & 0 deletions Suriyavelu_EE20B133_Q1.ipynb
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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "Suriyavelu_EE20B133_Q1.ipynb",
"provenance": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "SDFKTeNHWLZa",
"outputId": "da9e76cb-e9bf-4d9d-a9e7-44f193784721"
},
"source": [
"import numpy as np\n",
"import math\n",
"\n",
"n=100\n",
"\n",
"\n",
"y = np.random.randint(0,2,n) \n",
"y_cap = np.random.rand(n) \n",
"print(y)\n",
"print(y_cap)\n"
],
"execution_count": 1,
"outputs": [
{
"output_type": "stream",
"text": [
"[0 1 0 0 1 0 0 1 0 0 1 1 0 1 0 1 1 0 0 1 1 0 0 1 0 0 0 1 1 1 1 0 0 1 1 1 1\n",
" 0 0 1 1 1 1 1 0 1 0 1 1 1 1 0 1 0 1 1 1 1 1 0 0 0 0 0 1 0 0 1 0 0 0 0 1 0\n",
" 0 0 0 0 0 1 0 1 1 1 0 0 0 1 1 0 1 0 1 0 1 0 0 1 0 1]\n",
"[0.50843116 0.78699915 0.50202158 0.52106829 0.28161941 0.16601114\n",
" 0.9384779 0.30485966 0.39942285 0.90567719 0.03574462 0.5881971\n",
" 0.14019694 0.92671877 0.13934773 0.85074313 0.67121002 0.71395842\n",
" 0.33558059 0.5903323 0.31879301 0.06198635 0.24556822 0.07466601\n",
" 0.43721157 0.13593685 0.00992059 0.45817583 0.40927946 0.22564894\n",
" 0.1445847 0.10226209 0.64363656 0.42064902 0.35499586 0.58827634\n",
" 0.89216289 0.24871214 0.58451316 0.80645039 0.64237521 0.21490444\n",
" 0.50338188 0.93054383 0.51168319 0.54184681 0.86584254 0.12223733\n",
" 0.68539398 0.84773381 0.20668814 0.77859524 0.3267349 0.13798076\n",
" 0.86937541 0.81734972 0.88309045 0.36817757 0.39131509 0.54807128\n",
" 0.22312638 0.16619411 0.10839084 0.89327666 0.14085427 0.21007204\n",
" 0.78321333 0.70909767 0.99055622 0.44535312 0.3348796 0.079961\n",
" 0.62911996 0.16513801 0.52047628 0.65889891 0.4374228 0.84764263\n",
" 0.90535513 0.13666385 0.27738929 0.18072991 0.61858209 0.03406597\n",
" 0.06187498 0.6639932 0.50643604 0.22356646 0.06619615 0.69159683\n",
" 0.60229281 0.93616167 0.77759024 0.71181934 0.75295573 0.46097798\n",
" 0.72359395 0.02581449 0.35704973 0.34535144]\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "fb2XM5swW6KL",
"outputId": "b799b5d7-8e35-40d1-f020-719fb065dd93"
},
"source": [
"sum=0\n",
"\n",
"for i in range(n):\n",
" sum = sum + y[i]*math.log2(y_cap[i]) + (1-y[i])*math.log2(1-y_cap[i])\n",
"\n",
"Cross_Ent = (-1/n)*sum\n",
"\n",
"print(Cross_Ent)"
],
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"text": [
"1.3852640255804824\n"
],
"name": "stdout"
}
]
}
]
}
103 changes: 103 additions & 0 deletions Suriyavelu_EE20B133_Q2.ipynb
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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "Suriyavelu_EE20B133_Q2.ipynb",
"provenance": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "xRR9cFX0XVRr",
"outputId": "3758de43-d55a-42cd-fa2a-a06e1dee0f6b"
},
"source": [
"class AddandCompare:\n",
"\n",
" dummy = 'A' \n",
"\n",
" def __init__(self,inarr,target):\n",
"\n",
" self.inarr = inarr \n",
" self.target = target \n",
" def show(self): \n",
" \n",
" print('imput array: ', self.inarr)\n",
" print('target: ', self.target)\n",
" print('dummy: ', self.dummy)\n",
"\n",
" def final(self): \n",
"\n",
" count = 1\n",
" output = {}\n",
"\n",
" for i in range(len(self.inarr)):\n",
" for j in range(len(self.inarr)):\n",
"\n",
" if(self.inarr[i]+self.inarr[j] == self.target and i!=j):\n",
" output[count] = list([i,j])\n",
" count = count + 1\n",
" return output\n",
"\n",
"Arr1 = []\n",
"Target = 0\n",
"m = 0\n",
"\n",
"print(\"Enter the target\")\n",
"Target = int(input())\n",
"\n",
"print(\"Enter the number of entries\")\n",
"m = int(input())\n",
"\n",
"print(\"Enter the elements\")\n",
"for i in range(m):\n",
" element = int(input())\n",
" Arr1.append(element)\n",
"\n",
"\n",
"Obj1 = AddandCompare(Arr1,Target) #Creating class instance\n",
"Obj1.show()\n",
"print(Obj1.final()) #Printing the output1"
],
"execution_count": 6,
"outputs": [
{
"output_type": "stream",
"text": [
"Enter the target\n",
"38\n",
"Enter the number of entries\n",
"8\n",
"Enter the elements\n",
"16\n",
"17\n",
"26\n",
"28\n",
"31\n",
"38\n",
"43\n",
"47\n",
"imput array: [16, 17, 26, 28, 31, 38, 43, 47]\n",
"target: 38\n",
"dummy: A\n",
"{}\n"
],
"name": "stdout"
}
]
}
]
}