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Updated to Python3 #2

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127 changes: 66 additions & 61 deletions asg2/Assignment 2 work-sheet.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -19,10 +19,8 @@
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"collapsed": false
},
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"def uniFreq():\n",
Expand Down Expand Up @@ -51,10 +49,8 @@
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": true
},
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# Function Definition starts with def <function name> (<input arguments>)\n",
Expand Down Expand Up @@ -94,16 +90,15 @@
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"collapsed": false
},
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.866666666667\n"
"ename": "SyntaxError",
"evalue": "invalid syntax (<ipython-input-3-48060c6bb643>, line 2)",
"output_type": "error",
"traceback": [
"\u001b[1;36m File \u001b[1;32m\"<ipython-input-3-48060c6bb643>\"\u001b[1;36m, line \u001b[1;32m2\u001b[0m\n\u001b[1;33m print jaro_winkler('bimal','vimal')\u001b[0m\n\u001b[1;37m ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n"
]
}
],
Expand Down Expand Up @@ -140,10 +135,8 @@
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"collapsed": false
},
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
Expand All @@ -158,7 +151,7 @@
"0.6666666666666666"
]
},
"execution_count": 25,
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
Expand All @@ -170,7 +163,7 @@
" bi = biDict[bigramWord1]\n",
" uni = uniDict[word1]\n",
"\n",
" print bi,uni\n",
" print(bi,uni)\n",
"\n",
" bigramProb = bi/(uni*1.0)\n",
" return bigramProb\n",
Expand All @@ -187,42 +180,40 @@
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"collapsed": false
},
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.00980244307043 <s> sandip\n",
"0.00905109489051 sandip babu\n",
"0.000149075730471 babu sang\n",
"0.000150784077201 sang bande\n",
"0.00584883023395 bande mataram\n",
"0.000149970005999 mataram </s>\n",
"0.000150806816468 </s>\n",
"1.74932821106e-18\n",
"0.000904840898809 <s> chandranath\n",
"0.00180695678362 chandranath babu\n",
"0.000149075730471 babu asked\n",
"0.0001495215311 asked for\n",
"0.009802443070426783 <s> sandip\n",
"0.009051094890510949 sandip babu\n",
"0.0001490757304710793 babu sang\n",
"0.00015078407720144752 sang bande\n",
"0.005848830233953209 bande mataram\n",
"0.00014997000599880023 mataram </s>\n",
"</s>\n",
"1.7493282110562895e-18\n",
"0.0009048408988086261 <s> chandranath\n",
"0.0018069567836169252 chandranath babu\n",
"0.0001490757304710793 babu asked\n",
"0.00014952153110047846 asked for\n",
"for\n",
"0.000301477238468 betel leaves\n",
"0.000150625094141 leaves </s>\n",
"0.000150806816468 </s>\n",
"1.65494105455e-21\n",
"0.00120645453174 <s> poor\n",
"0.00045051809581 poor bimala\n",
"0.000297707651087 bimala went\n",
"0.00014905351021 went to\n",
"0.000150693188668 to the\n",
"0.000150715900528 the dressing\n",
"0.00105342362679 dressing room\n",
"0.000148345942738 room </s>\n",
"0.000150806816468 </s>\n",
"8.56025744882e-29\n"
"0.00030147723846849563 betel leaves\n",
"0.00015062509414068384 leaves </s>\n",
"</s>\n",
"1.6549410545482572e-21\n",
"0.0012064545317448348 <s> poor\n",
"0.0004505180958101817 poor bimala\n",
"0.00029770765108663293 bimala went\n",
"0.00014905351021016544 went to\n",
"0.0001506931886678722 to the\n",
"0.00015071590052750564 the dressing\n",
"0.001053423626787058 dressing room\n",
"0.0001483459427384661 room </s>\n",
"</s>\n",
"8.560257448823198e-29\n"
]
}
],
Expand All @@ -234,35 +225,49 @@
" mult = 1.0\n",
" for i,item in enumerate(stri.split(' ')):\n",
" try:\n",
" print (wordBigram[item+' '+stri.split()[i+1]] + 1)/((wordFreq[item] + len(wordFreq.keys()))*1.0),item+' '+stri.split()[i+1]\n",
" print ((wordBigram[item+' '+stri.split()[i+1]] + 1)/((wordFreq[item] + len(wordFreq.keys()))*1.0),item+' '+stri.split()[i+1])\n",
" mult = mult * (wordBigram[item+' '+stri.split()[i+1]] + 1)/((wordFreq[item] + len(wordFreq.keys()))*1.0)\n",
" except:\n",
" try:\n",
" print (1)/((wordFreq[item] + len(wordFreq.keys()))*1.0),item+' '+stri.split()[i+1]\n",
" print((1)/((wordFreq[item] + len(wordFreq.keys()))*1.0),item+' '+stri.split()[i+1])\n",
" mult = mult * (1)/((wordFreq[item] + len(wordFreq.keys()))*1.0)\n",
" except:\n",
" print item\n",
" print mult"
" print(item)\n",
" print( mult)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python [default]",
"display_name": "Python 3",
"language": "python",
"name": "python2"
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.12"
"pygments_lexer": "ipython3",
"version": "3.8.8"
}
},
"nbformat": 4,
Expand Down
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