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gromov hw09 #281

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gromov hw09 #281

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589bad2
some bug with file
Apr 13, 2022
918b419
Merge branch 'kryzhikov:main' into main
Art-1313 Apr 13, 2022
907fda6
Merge branch 'kryzhikov:main' into main
Art-1313 May 4, 2022
b6f8301
Merge branch 'kryzhikov:main' into main
Art-1313 May 18, 2022
9cef99a
done
May 25, 2022
a18af82
Merge branch 'kryzhikov:main' into main
Art-1313 May 26, 2022
449a830
done
May 27, 2022
cd032db
change readme
May 27, 2022
37dd53a
added gif
May 29, 2022
6daba6c
Merge pull request #11 from Art-1313/hw10
Art-1313 Jun 28, 2022
c1a4909
Merge branch 'main' into hw09
Art-1313 Jun 28, 2022
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2 changes: 1 addition & 1 deletion .gitignore
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Original file line number Diff line number Diff line change
@@ -1 +1 @@
.DS_Store

Binary file added 06. Overfittng problem/Линейная_регрессия_презентация_TG_3.pdf
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Empty file added 11. Texts/hw.ipynb
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1,024 changes: 876 additions & 148 deletions 11. Texts/inclass_nlp.ipynb
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162 changes: 112 additions & 50 deletions 11. Texts/word2vec.ipynb
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Expand Up @@ -2,6 +2,11 @@
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"id": "YyV0dhXdk4EO"
},
"outputs": [],
"source": [
"import io\n",
"import numpy as np\n",
Expand All @@ -18,104 +23,161 @@
" tokens = line.rstrip().split(' ')\n",
" data[tokens[0]] = np.array(list(map(float, tokens[1:])))\n",
" return data"
],
"metadata": {
"id": "YyV0dhXdk4EO"
},
"execution_count": null,
"outputs": []
]
},
{
"cell_type": "code",
"source": [
"!wget https://dl.fbaipublicfiles.com/fasttext/vectors-english/crawl-300d-2M.vec.zip -O crawl-300d-2M.vec.zip\n",
"!unzip crawl-300d-2M.vec.zip"
],
"execution_count": 2,
"metadata": {
"id": "0G2o41vBkSRf"
},
"execution_count": null,
"outputs": []
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"--2022-05-25 10:22:14-- https://dl.fbaipublicfiles.com/fasttext/vectors-english/crawl-300d-2M.vec.zip\n",
"Resolving dl.fbaipublicfiles.com (dl.fbaipublicfiles.com)... 188.114.99.144\n",
"Connecting to dl.fbaipublicfiles.com (dl.fbaipublicfiles.com)|188.114.99.144|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 1523785255 (1,4G) [application/zip]\n",
"Saving to: ‘crawl-300d-2M.vec.zip’\n",
"\n",
"crawl-300d-2M.vec.z 100%[===================>] 1,42G 17,0MB/s in 90s \n",
"\n",
"2022-05-25 10:23:45 (16,1 MB/s) - ‘crawl-300d-2M.vec.zip’ saved [1523785255/1523785255]\n",
"\n",
"Archive: crawl-300d-2M.vec.zip\n",
" inflating: crawl-300d-2M.vec \n"
]
}
],
"source": [
"!wget https://dl.fbaipublicfiles.com/fasttext/vectors-english/crawl-300d-2M.vec.zip -O crawl-300d-2M.vec.zip\n",
"!unzip crawl-300d-2M.vec.zip"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 3,
"metadata": {
"id": "N4SSonGyMwkL"
},
"outputs": [],
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 100000/100000 [00:04<00:00, 22501.92it/s]\n"
]
}
],
"source": [
"vecs = load_vectors('crawl-300d-2M.vec', 100000)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"id": "i4XaW6iejmzG"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"('Paris', 'France', 'Parisian', 'paris', 'Lyon', 'London', 'PARIS', 'French', 'Lille', 'Marseille', 'Toulouse', 'Bordeaux', 'Marseilles', 'Strasbourg', 'Berlin', 'Le', 'Versailles', 'Nantes', 'Brussels', 'Grenoble')\n",
"('brother', 'sister', 'cousin', 'brothers', 'brother-in-law', 'uncle', 'nephew', 'father', 'son', 'sister-in-law', 'aunt', 'sisters', 'daughter', 'niece', 'dad', 'cousins', 'Brother', 'mother', 'siblings', 'grandfather')\n"
]
}
],
"source": [
"def get_k_nearest_neighbors(vec, k):\n",
" return list(zip(*sorted(list(map(lambda key: (np.linalg.norm(vec - vecs[key]), key), vecs.keys())))))[1][:k]\n",
"\n",
"print(get_k_nearest_neighbors(vecs['Paris'], 20))\n",
"print(get_k_nearest_neighbors(vecs['brother'], 20))"
],
"metadata": {
"id": "i4XaW6iejmzG"
},
"execution_count": null,
"outputs": []
]
},
{
"cell_type": "code",
"source": [
"get_k_nearest_neighbors(vecs['Paris'] - vecs['France'] + vecs['Germany'], 1)"
],
"execution_count": 5,
"metadata": {
"id": "W3HYdGDblVu6"
},
"execution_count": null,
"outputs": []
"outputs": [
{
"data": {
"text/plain": [
"('Berlin',)"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"get_k_nearest_neighbors(vecs['Paris'] - vecs['France'] + vecs['Germany'], 1)"
]
},
{
"cell_type": "code",
"source": [
"get_k_nearest_neighbors(vecs['brother'] - vecs['man'] + vecs['woman'], 1)"
],
"execution_count": 6,
"metadata": {
"id": "zAz9XlnLlYUv"
},
"execution_count": null,
"outputs": []
"outputs": [
{
"data": {
"text/plain": [
"('sister',)"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"get_k_nearest_neighbors(vecs['brother'] - vecs['man'] + vecs['woman'], 1)"
]
},
{
"cell_type": "code",
"source": [
"get_k_nearest_neighbors(vecs['king'] - vecs['man'] + vecs['woman'], 5)"
],
"execution_count": 7,
"metadata": {
"id": "AkgfxFDNlZkF"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
""
"outputs": [
{
"data": {
"text/plain": [
"('king', 'queen', 'King', 'kings', 'Queen')"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"metadata": {
"id": "8uwmZYPVlbmz"
},
"execution_count": null,
"outputs": []
"source": [
"get_k_nearest_neighbors(vecs['king'] - vecs['man'] + vecs['woman'], 5)"
]
}
],
"metadata": {
"colab": {
"collapsed_sections": [],
"name": "word2vec.ipynb",
"provenance": [],
"collapsed_sections": []
"provenance": []
},
"interpreter": {
"hash": "b0fa6594d8f4cbf19f97940f81e996739fb7646882a419484c72d19e05852a7e"
},
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3.9.12 64-bit",
"language": "python",
"name": "python3"
},
Expand All @@ -129,9 +191,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.4"
"version": "3.9.12"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
}
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