forked from filipg/aitech-eks-pub
Merge git.wmi.amu.edu.pl:filipg/aitech-eks
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kubapok
commit
a2d7d975ff
@ -507,11 +507,7 @@
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" acc_score += torch.sum((Y_predictions > 0.5) == Y).item()\n",
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" items_total += Y.shape[0] \n",
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"\n",
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" optimizer.zero_grad()\n",
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" loss = criterion(Y_predictions, Y)\n",
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" loss.backward()\n",
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" optimizer.step()\n",
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"\n",
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"\n",
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" loss_score += loss.item() * Y.shape[0] \n",
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" return (loss_score / items_total), (acc_score / items_total)"
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@ -699,11 +699,7 @@
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" acc_score += torch.sum((Y_predictions > 0.5) == Y).item()\n",
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" items_total += Y.shape[0] \n",
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"\n",
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" optimizer.zero_grad()\n",
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" loss = criterion(Y_predictions, Y)\n",
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" loss.backward()\n",
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" optimizer.step()\n",
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"\n",
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"\n",
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" loss_score += loss.item() * Y.shape[0] \n",
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" return (loss_score / items_total), (acc_score / items_total)"
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@ -2,7 +2,7 @@
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"cells": [
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{
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"cell_type": "markdown",
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"id": "continent-intermediate",
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"id": "cathedral-newark",
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"metadata": {},
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"source": [
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"# Regresja liniowa\n",
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@ -23,7 +23,7 @@
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},
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{
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"cell_type": "markdown",
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"id": "original-speed",
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"id": "heard-clinton",
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"metadata": {},
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"source": [
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"Regresje liniowa (jednej zmiennej) jest łatwa do rozwiązania — wystarczy podstawić do wzoru!\n",
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@ -43,7 +43,7 @@
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},
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{
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"cell_type": "markdown",
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"id": "significant-relaxation",
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"id": "preceding-impression",
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"metadata": {},
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"source": [
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"## Regresja wielu zmiennych\n",
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@ -53,31 +53,45 @@
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"\n",
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"Cena mieszkań może być prognozowana na podstawie:\n",
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"\n",
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"* powierzchni ($x_1 = 32.3$) \n",
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"* powierzchni w m$^2$ ($x_1 = 32.3$) $w_1 = 7000$\n",
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"\n",
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"* liczby pokoi ($x_2 = 3$)\n",
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"* liczby pokoi ($x_2 = 3$) $w_2 = -30000$\n",
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" \n",
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"* piętra ($x_3 = 4$)\n",
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"* nr piętra ($x_3 = 4$) \n",
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"\n",
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"* wieku ($x_4 = 13$)\n",
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"* wieku ($x_4 = 13$) $w_3 = -1000$\n",
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"\n",
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"* odległości od Dworca Centralnego w Warszawie ($x_5 = 371.3$)\n",
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"\n",
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"* wielkość miasta\n",
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"\n",
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"* gęstość zaludnienia\n",
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"\n",
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"* cech zerojedynkowych:\n",
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"\n",
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" * czy wielka płyta? ($x_6 = 0$)\n",
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"\n",
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" * czy jest jacuzzi? ($x_7 = 1$)\n",
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"\n",
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" * czy jest grzyb? ($x_8 = 0$)\n",
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" * czy jest jacuzzi? ($x_7 = 1$) $w_7 = 5000$\n",
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"\n",
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" * czy jest grzyb? ($x_8 = 0$) $w_8 = -40000$\n",
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" \n",
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" * czy to Kielce? ($x_9 = 1$)\n",
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" \n",
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" * czy to Kraków ($x_{10} = 0$)\n",
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" \n",
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" * czy to Katowice ($x_{11} = 0$)\n",
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" \n",
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" * czy obok budynku jest parking \n",
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" \n",
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" * czy w budynku jest parking\n",
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"\n",
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"* ...\n",
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"* zakodowany opis \n",
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"\n",
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" * $(x_{12}, x_{|V|+12})$ - wektor tf-idf \n",
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"\n",
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"... więc uogólniamy na wiele ($k$) wymiarów:\n",
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"\n",
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"$$ y = w_0 + w_1x_1 + \\ldots + w_kx_k = w_0 + \\sum_{j=1}^{k} w_jx_j $$\n",
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"$$ y = w_0 + w_1x_1 + \\ldots + w_kx_k = w_0 + \\sum_{j=1}^{k} w_jx_j = w_0 + \\vec{w}\\vec{x}$$\n",
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"\n",
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"gdzie:\n",
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"\n",
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@ -97,10 +111,10 @@
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},
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{
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"cell_type": "markdown",
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"id": "ordinary-appendix",
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"id": "confused-increase",
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"metadata": {},
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"source": [
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"## Kilka sporzeżeń\n",
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"## Kilka spostrzeżeń\n",
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"\n",
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"Regresja liniowa to najprostszy możliwy model:\n",
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"\n",
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@ -114,7 +128,7 @@
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},
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{
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"cell_type": "markdown",
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"id": "egyptian-austria",
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"id": "freelance-controversy",
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"metadata": {},
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"source": [
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"## Uczenie\n",
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@ -148,7 +162,7 @@
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},
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{
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"cell_type": "markdown",
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"id": "exact-train",
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"id": "divine-medium",
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"metadata": {},
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"source": [
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"## Ewaluacja regresji\n",
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@ -171,7 +185,7 @@
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},
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{
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"cell_type": "markdown",
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"id": "selective-agriculture",
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"id": "supreme-tennessee",
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"metadata": {},
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"source": [
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"## Regresja liniowa dla tekstu\n",
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@ -181,10 +195,84 @@
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"\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "seasonal-syndication",
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"metadata": {},
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"source": [
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"### Przykład \n",
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"\n",
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"Wyzwanie RetroC2 - odgadywanie roku dla krótkiego tekstu (1814-2013), <https://gonito.net/challenge/retroc2>.\n",
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" \n",
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"Lista słów (obcięta do 7 znaków) z największą/najmniejszymi wagami. \n",
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"\n",
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"```\n",
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"wzbudze -0.08071490\n",
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"paczka -0.08000180\n",
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"szarpi -0.05906200\n",
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"spadoch -0.05784140\n",
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"rzymsko -0.05466660\n",
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"sosnowy -0.05162170\n",
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"dębowyc -0.04778910\n",
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"nawinię -0.04649400\n",
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"odmówie -0.04522140\n",
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"zacisko -0.04480620\n",
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"funkcją -0.04479500\n",
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"werben -0.04423350\n",
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"nieumyś -0.04415200\n",
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"wodomie -0.04351570\n",
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"szczote -0.04313390\n",
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"exekucy -0.04297940\n",
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"listew -0.04214090\n",
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"daley -0.04145400\n",
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"metro -0.04080110\n",
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"wyjąwsz -0.04078060\n",
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"salda -0.04042050\n",
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"tkach -0.04020180\n",
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"cetnar -0.03999050\n",
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"zgóry -0.03855980\n",
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"belek -0.03833100\n",
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"formier -0.03805890\n",
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"wekslu -0.03796510\n",
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"odmową -0.03753760\n",
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"\n",
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"odwadni 0.04662140\n",
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"dozując 0.04672770\n",
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"wyników 0.04744650\n",
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"sprawst 0.04746330\n",
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"jakub 0.04750710\n",
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"ścieran 0.04791070\n",
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"wrodzon 0.04799800\n",
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"koryguj 0.04843560\n",
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"odnotow 0.04854360\n",
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"tłumiąc 0.04917320\n",
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"leasing 0.04963200\n",
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"ecznej 0.04994810\n",
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"2013r 0.05009500\n",
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"kompens 0.05049060\n",
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"comarch 0.05058620\n",
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"pojazde 0.05078540\n",
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"badanyc 0.05340480\n",
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"kontakc 0.05377990\n",
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"sygnali 0.05601120\n",
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"piasta 0.05658670\n",
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"2000r 0.05716820\n",
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"stropni 0.06123470\n",
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"oszone 0.06124600\n",
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"zamonto 0.06424310\n",
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"……….. 0.06498500\n",
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"kumulat 0.06596770\n",
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"faktura 0.07313080\n",
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"wielost 0.09677770\n",
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"wielomi 0.12307300\n",
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"```\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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"id": "numerous-limitation",
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"id": "encouraging-martial",
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"metadata": {},
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"outputs": [],
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"source": []
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