{"id":645,"date":"2020-12-02T23:30:13","date_gmt":"2020-12-02T14:30:13","guid":{"rendered":"http:\/\/cedartrees.co.kr\/?p=645"},"modified":"2021-01-09T19:18:50","modified_gmt":"2021-01-09T10:18:50","slug":"linear-model2","status":"publish","type":"post","link":"http:\/\/blog.cedartrees.co.kr\/index.php\/2020\/12\/02\/linear-model2\/","title":{"rendered":"\ud68c\uadc0\ubd84\uc11d(\ub2e4\uc911\ud68c\uadc0)"},"content":{"rendered":"\n

\uc774\uc804 \uae00\uc5d0\ub294 \ud558\ub098\uc758 \ub3c5\ub9bd\ubcc0\uc218\ub97c \uc0ac\uc6a9\ud55c \uc608\uce21\uc744 \ud14c\uc2a4\ud2b8\ud588\uc2b5\ub2c8\ub2e4. \uc774\ubc88\uc5d0\ub294 2\uac1c \uc774\uc0c1\uc758 \ub3c5\ub9bd\ubcc0\uc218\ub97c \ud3ec\ud568\ud558\ub294 \ub2e4\uc911\ud68c\uadc0\ubd84\uc11d\uc5d0 \ub300\ud574\uc11c \ub3d9\uc77c\ud55c \ub370\uc774\ud130\uc14b\uc744 \ud65c\uc6a9\ud574\uc11c \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n

dataset = pd.read_csv('.\/fitness.csv')\ndataset[0:10]<\/pre>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\uc9c0\ub09c \uc608\uc81c\uc5d0\uc11c runpulse\ub97c \ud1b5\ud574\uc11c maxpulse\ub97c \uc608\uce21\ud558\ub294 \ud68c\uadc0\ubd84\uc11d\uc744 \uc218\ud589\ud588\uc2b5\ub2c8\ub2e4. \uc5ec\uae30\uc11c runpulse\ub294 \ub3c5\ub9bd\ubcc0\uc218\ub85c\uc11c \uc885\uc18d\ubcc0\uc218\uc778 maxpulse\uc5d0 \uc601\ud5a5\uc744 \uc8fc\ub294 \ubcc0\uc218\uc785\ub2c8\ub2e4. \uc774\ubc88\uc5d0\ub3c4 maxpulse\ub97c \uc608\uce21\ud560 \uac83\uc778\ub370 \ub3c5\ub9bd\ubcc0\uc218\uac00 age, weight, oxygen, runtime, runpulse, rstpulse \uc774\ub807\uac8c 6\uac1c\uc785\ub2c8\ub2e4. <\/p>\n\n\n\n
\uba3c\uc800 \uc608\uce21\ud560 maxpulse\ub97c \uc81c\uc678\ud55c \ub370\uc774\ud130\uc14b\uc744 \ub9cc\ub4e4\uc5b4\uc90d\ub2c8\ub2e4. \uc774\uac83\uc744 dataset2\ub77c\uace0 \uc815\uc758\ud558\uaca0\uc2b5\ub2c8\ub2e4. dataset2\uc740 6\uac1c\uc758 column\uacfc 31\uac1c\uc758 row\ub97c \uac00\uc9c4 [31 \u00d7 6] \ud589\ub82c\uc774 \ub429\ub2c8\ub2e4. \uc774\uac83\uc740 \uc774\uc804 \uc2dc\uac04\uc5d0 \ud558\ub098\uc758 \ub3c5\ub9bd\ubcc0\uc218\ub97c \ud1b5\ud574\uc11c \uc608\uce21\uc744 \ud558\uae30 \uc704\ud574\uc11c \uc791\uc131\ud588\ub358 \uc218\uc2dd\uc778 y = Xw+b\ub97c \ud655\uc7a5\ud55c \uac1c\ub150\uc785\ub2c8\ub2e4.<\/p>\n\n\n\n
\uc774\uac83\uc744 \ud480\uc5b4\uc11c \uc4f0\uac8c \ub418\uba74 y = X1w1 + X2w2 + X3w3 + X4w4 + X5w5 + X6w6 + b\uac00 \ub418\ub294 \uac83\uc774\uace0 \uc774\ub7f0 y\uac00 31\uac1c\uac00 \uc788\ub2e4\ub294 \uc758\ubbf8\uac00 \ub429\ub2c8\ub2e4. \uadf8\ub7ec\ub2c8\uae4c \uac01\uac01\uc758 \uc694\uc18c\uc5d0 w1~w6\uac1c\uc758 \uac12\uc744 \uacf1\ud574\uc8fc\ub294 [31 \u00d7 6] \u00d7 [6 \u00d7 1] + b\uc758 \ud589\ub82c\uacf1 \uc5f0\uc0b0\uc774 \ub418\uace0 \uc774\ub294 [1 \u00d7 6] \u00d7 [6 \u00d7 1] + b \uc774\ub7f0 \ubca1\ud130\uc758 \ub0b4\uc801\uc758 \ud569\uc774 31\uac1c\uac00 \ub41c\ub2e4\ub294 \ub3d9\uc77c\ud55c \uc758\ubbf8\uc785\ub2c8\ub2e4.<\/p>\n\n\n\n
dataset2 = dataset[dataset.columns[0:-1]]\nprint(dataset2.values)<\/pre>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\uc774\uc81c \uc774\uc804\uc5d0 \ub2e8\uc21c\ud68c\uadc0\uc5d0\uc11c \ud588\ub358\uac83\ucc98\ub7fc sklearn \ud328\ud0a4\uc9c0\uc758 LinearRegression\uc744 \uc784\ud3ec\ud2b8 \ud558\uace0 \uae30\uc6b8\uae30\uc640 \uc808\ud3b8\uc744 \uacc4\uc0b0\ud569\ub2c8\ub2e4. fit()\uc5d0 \ub450\uac1c\uc758 \uc778\uc790\uac12\uc744 \uc8fc\ub294\ub370 \ud558\ub098\ub294 6\uac1c\uc758 \ub3c5\ub9bd\ubcc0\uc218\ub4e4\uc758 \uac12\uc774 \uc788\ub294 2\ucc28\uc6d0 \ud589\ub82c\uc774\uace0 \ub610 \ud558\ub098\ub294 \uc2e4\uc81c \uacc4\uc0b0 \uac12\uc774 \ub4e4\uc5b4\uc788\ub294 \ub370\uc774\ud130\uc14b\uc785\ub2c8\ub2e4. \uc5ec\uae30\uc11c\ub294 \uc54c\uace0\uc790 \ud558\ub294 \uac12\uc778 maxpulse \uac12\uc774 \ub418\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n
from sklearn.linear_model import LinearRegression\nlr = LinearRegression().fit(dataset2.values, dataset['maxpulse'].values.reshape(-1,1))<\/pre>\n\n\n\n
print('W:{}, b:{}'.format(lr.coef_, lr.intercept_))\n#W:[[-0.00794636  0.09986232  0.57982346  1.18233886  0.87556793  0.05439718]], b:[-25.0634534]<\/pre>\n\n\n\n
\uac04\ub2e8\ud788 \uacc4\uc0b0\uc774 \uc644\ub8cc\ub418\uc5c8\uace0 \uc608\uc0c1\ud588\ub358\uac83\ucc98\ub7fc \uc54c\uace0\uc790 \ud588\ub358 \uac01 \ub3c5\ub9bd\ubcc0\uc218\uc758 \uac00\uc911\uce58 \uac12\uc778 6\uac1c\uc640 \uc808\ud3b8 \uac12\uc744 \uc5bb\uc5c8\uc2b5\ub2c8\ub2e4. \uc774 \ubaa8\ub378\uc774 \uc5b4\ub290\uc815\ub3c4 \uacb0\uacfc\uac12\uacfc \uc77c\uce58\ud558\ub294\uc9c0 \ucc28\uc774\ub97c \ubcf4\uae30 \uc704\ud574\uc11c \uc2e4\uc81c\uac12\uacfc \uc608\uce21\uac12\uc744 \uadf8\ub798\ud504\ub85c \uc2dc\uac01\ud654\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n
plt.plot(lr.predict(dataset2.values),'*')\nplt.plot(dataset['maxpulse'],'x')<\/pre>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\uc2e4\uc81c\uac12 “x”\uc640 \uc608\uce21\uac12 “*”\ub97c \ube44\uad50\ud574\ubcf4\ub2c8 \uc77c\ubd80 \uc624\ucc28\uac00 \ud070 \uac83\ub4e4\ub3c4 \uc788\uc9c0\ub9cc \uc81c\ubc95 \ud569\ub9ac\uc801\uc73c\ub85c \uc608\uce21\uc744 \ud55c\uac83\uac19\uc2b5\ub2c8\ub2e4.  \uadf8\ub9ac\uace0 \uc774 \uac12\uc740 \uc544\ub798\uc640 \uac19\uc774 \ud589\ub82c \uacf1\uc73c\ub85c \uacc4\uc0b0\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4. \uc5ec\uae30\uc11c x\ub294 \ub3c5\ub9bd \ubcc0\uc218\ub4e4\uc758 \uac12\uc774\uace0 y\ub294 LinearRegression\uc744 \ud1b5\ud574\uc11c \uc5bb\uc740 w, b \uac12\uc785\ub2c8\ub2e4. \uc774 \uac12\ub4e4\uc744 \ud65c\uc6a9\ud574\uc11c y = Xw + b \ud615\uc2dd\uc73c\ub85c \ud480\uc5b4\ub0b8 \uac12\uacfc \ub3d9\uc77c\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n
x = dataset2.values\ny = lr.coef_.reshape(-1,1)\npredict = np.matmul(x,y) + lr.intercept_<\/pre>\n","protected":false},"excerpt":{"rendered":"
\uc774\uc804 \uae00\uc5d0\ub294 \ud558\ub098\uc758 \ub3c5\ub9bd\ubcc0\uc218\ub97c \uc0ac\uc6a9\ud55c \uc608\uce21\uc744 \ud14c\uc2a4\ud2b8\ud588\uc2b5\ub2c8\ub2e4. \uc774\ubc88\uc5d0\ub294 2\uac1c \uc774\uc0c1\uc758 \ub3c5\ub9bd\ubcc0\uc218\ub97c \ud3ec\ud568\ud558\ub294 \ub2e4\uc911\ud68c\uadc0\ubd84\uc11d\uc5d0 \ub300\ud574\uc11c \ub3d9\uc77c\ud55c \ub370\uc774\ud130\uc14b\uc744 \ud65c\uc6a9\ud574\uc11c \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc9c0\ub09c \uc608\uc81c\uc5d0\uc11c runpulse\ub97c \ud1b5\ud574\uc11c maxpulse\ub97c \uc608\uce21\ud558\ub294 \ud68c\uadc0\ubd84\uc11d\uc744 \uc218\ud589\ud588\uc2b5\ub2c8\ub2e4. \uc5ec\uae30\uc11c runpulse\ub294 \ub3c5\ub9bd\ubcc0\uc218\ub85c\uc11c \uc885\uc18d\ubcc0\uc218\uc778 maxpulse\uc5d0 \uc601\ud5a5\uc744 \uc8fc\ub294 \ubcc0\uc218\uc785\ub2c8\ub2e4. \uc774\ubc88\uc5d0\ub3c4 maxpulse\ub97c \uc608\uce21\ud560 \uac83\uc778\ub370 \ub3c5\ub9bd\ubcc0\uc218\uac00 age, weight, oxygen, runtime, runpulse, rstpulse \uc774\ub807\uac8c 6\uac1c\uc785\ub2c8\ub2e4. \uba3c\uc800 \uc608\uce21\ud560 maxpulse\ub97c \uc81c\uc678\ud55c \ub370\uc774\ud130\uc14b\uc744 \ub9cc\ub4e4\uc5b4\uc90d\ub2c8\ub2e4. \uc774\uac83\uc744 dataset2\ub77c\uace0 … <\/p>\n
\ub354 \ubcf4\uae30 “\ud68c\uadc0\ubd84\uc11d(\ub2e4\uc911\ud68c\uadc0)”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[17,70],"tags":[47,51,45,46],"_links":{"self":[{"href":"http:\/\/blog.cedartrees.co.kr\/index.php\/wp-json\/wp\/v2\/posts\/645"}],"collection":[{"href":"http:\/\/blog.cedartrees.co.kr\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/blog.cedartrees.co.kr\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/blog.cedartrees.co.kr\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/blog.cedartrees.co.kr\/index.php\/wp-json\/wp\/v2\/comments?post=645"}],"version-history":[{"count":6,"href":"http:\/\/blog.cedartrees.co.kr\/index.php\/wp-json\/wp\/v2\/posts\/645\/revisions"}],"predecessor-version":[{"id":655,"href":"http:\/\/blog.cedartrees.co.kr\/index.php\/wp-json\/wp\/v2\/posts\/645\/revisions\/655"}],"wp:attachment":[{"href":"http:\/\/blog.cedartrees.co.kr\/index.php\/wp-json\/wp\/v2\/media?parent=645"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/blog.cedartrees.co.kr\/index.php\/wp-json\/wp\/v2\/categories?post=645"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/blog.cedartrees.co.kr\/index.php\/wp-json\/wp\/v2\/tags?post=645"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}