{"id":3540,"date":"2023-07-16T22:41:00","date_gmt":"2023-07-16T22:41:00","guid":{"rendered":"https:\/\/statorials.org\/ko\/sklearn-%e1%84%80%e1%85%ad%e1%84%8e%e1%85%a1-%e1%84%80%e1%85%a5%e1%86%b7%e1%84%8c%e1%85%b3%e1%86%bc%e1%84%8b%e1%85%b5%e1%84%85%e1%85%a1%e1%84%82%e1%85%b3%e1%86%ab-%e1%84%86%e1%85%a9%e1%84%83%e1%85%b2\/"},"modified":"2023-07-16T22:41:00","modified_gmt":"2023-07-16T22:41:00","slug":"sklearn-%e1%84%80%e1%85%ad%e1%84%8e%e1%85%a1-%e1%84%80%e1%85%a5%e1%86%b7%e1%84%8c%e1%85%b3%e1%86%bc%e1%84%8b%e1%85%b5%e1%84%85%e1%85%a1%e1%84%82%e1%85%b3%e1%86%ab-%e1%84%86%e1%85%a9%e1%84%83%e1%85%b2","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/sklearn-%e1%84%80%e1%85%ad%e1%84%8e%e1%85%a1-%e1%84%80%e1%85%a5%e1%86%b7%e1%84%8c%e1%85%b3%e1%86%bc%e1%84%8b%e1%85%b5%e1%84%85%e1%85%a1%e1%84%82%e1%85%b3%e1%86%ab-%e1%84%86%e1%85%a9%e1%84%83%e1%85%b2\/","title":{"rendered":"\ud574\uacb0 \ubc29\ubc95: &quot;sklearn.cross_validation&quot;\uc774\ub77c\ub294 \ubaa8\ub4c8\uc774 \uc5c6\uc2b5\ub2c8\ub2e4."},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Python\uc744 \uc0ac\uc6a9\ud560 \ub54c \ubc1c\uc0dd\ud560 \uc218 \uc788\ub294 \uc624\ub958\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #ff0000;\">ModuleNotFoundError <span style=\"color: #000000;\">: No module named 'sklearn.cross_validation'\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774 \uc624\ub958\ub294 \uc77c\ubc18\uc801\uc73c\ub85c \ub2e4\uc74c \uc904\uc744 \uc0ac\uc6a9\ud558\uc5ec <strong>sklearn<\/strong> \uc5d0\uc11c <strong>train_test_split<\/strong> \ud568\uc218\ub97c \uac00\uc838\uc624\ub824\uace0 \ud560 \ub54c \ubc1c\uc0dd\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> sklearn. <span style=\"color: #3366ff;\">cross_validation<\/span> <span style=\"color: #008000;\">import<\/span> train_test_split<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uadf8\ub7ec\ub098 <strong>cross_validation<\/strong> \ud558\uc704 \ubaa8\ub4c8\uc740 <strong>model_selection<\/strong> \ud558\uc704 \ubaa8\ub4c8\ub85c \ub300\uccb4\ub418\uc5c8\uc73c\ubbc0\ub85c \ub2e4\uc74c \uc904\uc744 \uc0ac\uc6a9\ud574\uc57c \ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> sklearn. <span style=\"color: #3366ff;\">model_selection<\/span> <span style=\"color: #008000;\">import<\/span> train_test_split<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uc624\ub958\ub97c \ud574\uacb0\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\uc624\ub958\ub97c \uc7ac\ud604\ud558\ub294 \ubc29\ubc95<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\"><strong>sklearn<\/strong> \uc758 <strong>train_test_split<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec pandas DataFrame\uc744 \ud6c8\ub828 \uc138\ud2b8\uc640 \ud14c\uc2a4\ud2b8 \uc138\ud2b8\ub85c \ubd84\ud560\ud55c\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>train_test_split<\/strong> \ud568\uc218\ub97c \uac00\uc838\uc624\uae30 \uc704\ud574 \ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud55c\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> sklearn. <span style=\"color: #3366ff;\">cross_validation<\/span> <span style=\"color: #008000;\">import<\/span> train_test_split\n\n<span style=\"color: #ff0000;\">ModuleNotFoundError <span style=\"color: #000000;\">: No module named 'sklearn.cross_validation'<\/span><\/span>\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>train_test_split<\/strong> \ud568\uc218\ub97c \uac00\uc838\uc624\ub824\uace0 \ud560 \ub54c \uc798\ubabb\ub41c \ud558\uc704 \ubaa8\ub4c8 \uc774\ub984\uc744 \uc0ac\uc6a9\ud588\uae30 \ub54c\ubb38\uc5d0 \uc624\ub958\uac00 \ubc1c\uc0dd\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\uc624\ub958\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\uc774 \uc624\ub958\ub97c \uc218\uc815\ud558\ub824\uba74 \ub300\uc2e0 <strong>model_selection<\/strong> \ud558\uc704 \ubaa8\ub4c8\uc744 \uc0ac\uc6a9\ud574\uc57c \ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> sklearn. <span style=\"color: #3366ff;\">model_selection<\/span> <span style=\"color: #008000;\">import<\/span> train_test_split\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774\ubc88\uc5d0\ub294 \uc5b4\ub5a4 \uc624\ub958\ub3c4 \uc218\uc2e0\ub418\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uadf8\ub7f0 \ub2e4\uc74c <strong>train_test_split<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec pandas DataFrame\uc744 \ud6c8\ub828 \ubc0f \ud14c\uc2a4\ud2b8 \uc138\ud2b8\ub85c \ubd84\ud560\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> sklearn. <span style=\"color: #3366ff;\">model_selection<\/span> <span style=\"color: #008000;\">import<\/span> train_test_split\n<span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#make this example reproducible\n<\/span>n.p. <span style=\"color: #3366ff;\">random<\/span> . <span style=\"color: #3366ff;\">seeds<\/span> (1)\n\n<span style=\"color: #008080;\">#create DataFrame with 1000 rows and 3 columns\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">x1<\/span> ': np.random.randint(30, size=1000),\n                   ' <span style=\"color: #ff0000;\">x2<\/span> ': np.random.randint(12, size=1000),\n                   ' <span style=\"color: #ff0000;\">y<\/span> ': np.random.randint(2, size=1000)})\n\n<span style=\"color: #008080;\">#split original DataFrame into training and testing sets\n<\/span>train, test = train_test_split(df, test_size=0.2, random_state=0)\n\n<span style=\"color: #008080;\">#view first few rows of each set\n<\/span><span style=\"color: #008000;\">print<\/span> ( <span style=\"color: #3366ff;\">train.head<\/span> ())\n\n     x1 x2 y\n687 16 2 0\n500 18 2 1\n332 4 10 1\n979 2 8 1\n817 11 1 0\n\n<span style=\"color: #008000;\">print<\/span> ( <span style=\"color: #3366ff;\">test.head<\/span> ())\n\n     x1 x2 y\n993 22 1 1\n859 27 6 0\n298 27 8 1\n553 20 6 0\n672 9 2 1<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc6b0\ub9ac\ub294 \uc624\ub958 \uc5c6\uc774 <strong>train_test_split<\/strong> \ud568\uc218\ub97c \uc131\uacf5\uc801\uc73c\ub85c \uc0ac\uc6a9\ud588\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc758 \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \uc624\ub958\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ko\/\u110b\u1167\u11af\u110b\u1175-\u1100\u1167\u11b8\u110e\u1175\u110c\u1175\u1106\u1161\u11ab-\u110c\u1165\u11b8\u1106\u1175\u1109\u1161\u1100\u1161-\u110c\u1175\u110c\u1165\u11bc\u1103\u116c\u110c\u1175-\u110b\u1161\u11ad\u110b\u1161\u11bb\u1109\u1173\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">\uc218\uc815\ubc29\ubc95: \uc5f4\uc774 \uacb9\uce58\ub294\ub370 \uc811\ubbf8\uc0ac\uac00 \uc9c0\uc815\ub418\uc9c0 \uc54a\uc74c<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/numpy-ndarray-\u1100\u1162\u11a8\u110e\u1166\u110b\u1166-\u1109\u1169\u11a8\u1109\u1165\u11bc-\u110e\u116e\u1100\u1161\u1100\u1161-\u110b\u1165\u11b9\u1109\u1173\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">\uc218\uc815 \ubc29\ubc95: &#8216;numpy.ndarray&#8217; \uac1c\uccb4\uc5d0 &#8216;append&#8217; \uc18d\uc131\uc774 \uc5c6\uc2b5\ub2c8\ub2e4.<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u110b\u1175\u11ab\u1103\u1166\u11a8\u1109\u1173\u1105\u1173\u11af-\u110c\u1165\u11ab\u1103\u1161\u11af\u1112\u1162\u110b\u1163-\u1112\u1161\u1102\u1173\u11ab-\u1106\u1169\u1103\u1173\u11ab-\u1109\u1173\u110f\u1161\u11af\u1105\u1161-\u1100\u1161\u11b9\u110b\u1173\u11af-\u1109\u1161\u110b\u116d\u11bc\u1112\u1161\u1102\u1173\u11ab-\u1100\u1167\u11bc\u110b\u116e-\u1100\u1161\u11b9-\u110b\u1169\u1105\u1172\/\" target=\"_blank\" rel=\"noopener\">\ud574\uacb0 \ubc29\ubc95: \ubaa8\ub4e0 \uc2a4\uce7c\ub77c \uac12\uc744 \uc0ac\uc6a9\ud558\ub294 \uacbd\uc6b0 \uc778\ub371\uc2a4\ub97c \uc804\ub2ec\ud574\uc57c \ud569\ub2c8\ub2e4.<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/valueerror\u1102\u1173\u11ab-float-nan\u110b\u1173\u11af-\u110c\u1165\u11bc\u1109\u116e\u1105\u1169-\u1107\u1167\u11ab\u1112\u116a\u11ab\u1112\u1161\u11af-\u1109\u116e-\u110b\u1165\u11b9\u1109\u1173\u11b8\u1102\u1175\u1103\u1161.\/\">\ud574\uacb0 \ubc29\ubc95: ValueError: float NaN\uc744 int\ub85c \ubcc0\ud658\ud560 \uc218 \uc5c6\uc2b5\ub2c8\ub2e4.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Python\uc744 \uc0ac\uc6a9\ud560 \ub54c \ubc1c\uc0dd\ud560 \uc218 \uc788\ub294 \uc624\ub958\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4. ModuleNotFoundError : No module named &#8216;sklearn.cross_validation&#8217; \uc774 \uc624\ub958\ub294 \uc77c\ubc18\uc801\uc73c\ub85c \ub2e4\uc74c \uc904\uc744 \uc0ac\uc6a9\ud558\uc5ec sklearn \uc5d0\uc11c train_test_split \ud568\uc218\ub97c \uac00\uc838\uc624\ub824\uace0 \ud560 \ub54c \ubc1c\uc0dd\ud569\ub2c8\ub2e4. from sklearn. cross_validation import train_test_split \uadf8\ub7ec\ub098 cross_validation \ud558\uc704 \ubaa8\ub4c8\uc740 model_selection \ud558\uc704 \ubaa8\ub4c8\ub85c \ub300\uccb4\ub418\uc5c8\uc73c\ubbc0\ub85c \ub2e4\uc74c \uc904\uc744 \uc0ac\uc6a9\ud574\uc57c \ud569\ub2c8\ub2e4. from sklearn. model_selection import train_test_split \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-3540","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - 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