From 6d564cdb6b12d5f545b504ce1947de01b3524497 Mon Sep 17 00:00:00 2001 From: Geoff <3062872548@qq.com> Date: Thu, 6 Aug 2020 18:12:18 +0800 Subject: [PATCH] add english version to logestic regression --- 3_kmeans/1-k-means.ipynb | 2 +- 4_logistic_regression/1-Least_squares_EN.ipynb | 1024 +++----------------- 4_logistic_regression/2-Logistic_regression.ipynb | 9 +- .../2-Logistic_regression_EN.ipynb | 135 +-- 4 files changed, 215 insertions(+), 955 deletions(-) diff --git a/3_kmeans/1-k-means.ipynb b/3_kmeans/1-k-means.ipynb index 6363188..6de3fda 100644 --- a/3_kmeans/1-k-means.ipynb +++ b/3_kmeans/1-k-means.ipynb @@ -955,7 +955,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.5" + "version": "3.6.8" } }, "nbformat": 4, diff --git a/4_logistic_regression/1-Least_squares_EN.ipynb b/4_logistic_regression/1-Least_squares_EN.ipynb index 02b8bd3..09ca9a7 100644 --- a/4_logistic_regression/1-Least_squares_EN.ipynb +++ b/4_logistic_regression/1-Least_squares_EN.ipynb @@ -27,7 +27,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 1, "metadata": {}, "outputs": [ { @@ -115,7 +115,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -127,7 +127,7 @@ }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -220,12 +220,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### 2.2 示例代码" + "### 2.2 The sample code" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -454,7 +454,13 @@ "epoch 219: loss = 2093216.552860, a = 338.396285, b = 152.909413\n", "epoch 220: loss = 2091726.761728, a = 339.616130, b = 152.908634\n", "epoch 221: loss = 2090242.917340, a = 340.833535, b = 152.907857\n", - "epoch 222: loss = 2088764.995948, a = 342.048506, b = 152.907081\n", + "epoch 222: loss = 2088764.995948, a = 342.048506, b = 152.907081\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "epoch 223: loss = 2087292.973899, a = 343.261047, b = 152.906306\n", "epoch 224: loss = 2085826.827634, a = 344.471164, b = 152.905533\n", "epoch 225: loss = 2084366.533687, a = 345.678860, b = 152.904762\n", @@ -650,7 +656,13 @@ "epoch 415: loss = 1890400.033577, a = 536.359274, b = 152.782975\n", "epoch 416: loss = 1889719.674478, a = 537.183258, b = 152.782449\n", "epoch 417: loss = 1889042.029945, a = 538.005595, b = 152.781924\n", - "epoch 418: loss = 1888367.089140, a = 538.826287, b = 152.781399\n", + "epoch 418: loss = 1888367.089140, a = 538.826287, b = 152.781399\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "epoch 419: loss = 1887694.841269, a = 539.645337, b = 152.780876\n", "epoch 420: loss = 1887025.275578, a = 540.462750, b = 152.780354\n", "epoch 421: loss = 1886358.381359, a = 541.278529, b = 152.779833\n", @@ -832,7 +844,13 @@ "epoch 597: loss = 1802246.577240, a = 662.169538, b = 152.702620\n", "epoch 598: loss = 1801917.856269, a = 662.741943, b = 152.702255\n", "epoch 599: loss = 1801590.446081, a = 663.313203, b = 152.701890\n", - "epoch 600: loss = 1801264.341442, a = 663.883321, b = 152.701526\n", + "epoch 600: loss = 1801264.341442, a = 663.883321, b = 152.701526\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "epoch 601: loss = 1800939.537143, a = 664.452299, b = 152.701163\n", "epoch 602: loss = 1800616.027992, a = 665.020140, b = 152.700800\n", "epoch 603: loss = 1800293.808821, a = 665.586845, b = 152.700438\n", @@ -957,7 +975,13 @@ "epoch 722: loss = 1769836.957698, a = 725.534359, b = 152.662150\n", "epoch 723: loss = 1769637.439670, a = 725.980056, b = 152.661865\n", "epoch 724: loss = 1769438.716783, a = 726.424861, b = 152.661581\n", - "epoch 725: loss = 1769240.785864, a = 726.868776, b = 152.661297\n", + "epoch 725: loss = 1769240.785864, a = 726.868776, b = 152.661297\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "epoch 726: loss = 1769043.643754, a = 727.311805, b = 152.661014\n", "epoch 727: loss = 1768847.287304, a = 727.753947, b = 152.660732\n", "epoch 728: loss = 1768651.713380, a = 728.195205, b = 152.660450\n", @@ -1161,13 +1185,7 @@ "epoch 926: loss = 1741938.470661, a = 800.256095, b = 152.614425\n", "epoch 927: loss = 1741850.081082, a = 800.552373, b = 152.614236\n", "epoch 928: loss = 1741762.043319, a = 800.848058, b = 152.614047\n", - "epoch 929: loss = 1741674.355969, a = 801.143152, b = 152.613859\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "epoch 929: loss = 1741674.355969, a = 801.143152, b = 152.613859\n", "epoch 930: loss = 1741587.017634, a = 801.437656, b = 152.613670\n", "epoch 931: loss = 1741500.026924, a = 801.731571, b = 152.613483\n", "epoch 932: loss = 1741413.382452, a = 802.024898, b = 152.613295\n", @@ -1187,7 +1205,13 @@ "epoch 946: loss = 1740235.951555, a = 806.070421, b = 152.610712\n", "epoch 947: loss = 1740154.338013, a = 806.355072, b = 152.610530\n", "epoch 948: loss = 1740073.049267, a = 806.639154, b = 152.610348\n", - "epoch 949: loss = 1739992.084021, a = 806.922668, b = 152.610167\n", + "epoch 949: loss = 1739992.084021, a = 806.922668, b = 152.610167\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "epoch 950: loss = 1739911.440986, a = 807.205615, b = 152.609986\n", "epoch 951: loss = 1739831.118877, a = 807.487996, b = 152.609806\n", "epoch 952: loss = 1739751.116414, a = 807.769812, b = 152.609626\n", @@ -1411,7 +1435,13 @@ "epoch 1170: loss = 1728120.075320, a = 857.506033, b = 152.577860\n", "epoch 1171: loss = 1728086.637887, a = 857.687829, b = 152.577744\n", "epoch 1172: loss = 1728053.333232, a = 857.869263, b = 152.577628\n", - "epoch 1173: loss = 1728020.160826, a = 858.050333, b = 152.577512\n", + "epoch 1173: loss = 1728020.160826, a = 858.050333, b = 152.577512\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "epoch 1174: loss = 1727987.120142, a = 858.231041, b = 152.577397\n", "epoch 1175: loss = 1727954.210655, a = 858.411388, b = 152.577282\n", "epoch 1176: loss = 1727921.431843, a = 858.591375, b = 152.577167\n", @@ -1577,7 +1607,13 @@ "epoch 1336: loss = 1724048.770097, a = 883.208323, b = 152.561444\n", "epoch 1337: loss = 1724031.483516, a = 883.338724, b = 152.561361\n", "epoch 1338: loss = 1724014.265415, a = 883.468864, b = 152.561277\n", - "epoch 1339: loss = 1723997.115522, a = 883.598743, b = 152.561194\n", + "epoch 1339: loss = 1723997.115522, a = 883.598743, b = 152.561194\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "epoch 1340: loss = 1723980.033566, a = 883.728363, b = 152.561112\n", "epoch 1341: loss = 1723963.019276, a = 883.857724, b = 152.561029\n", "epoch 1342: loss = 1723946.072383, a = 883.986826, b = 152.560947\n", @@ -1780,7 +1816,13 @@ "epoch 1539: loss = 1721633.558576, a = 904.983357, b = 152.547536\n", "epoch 1540: loss = 1721625.823823, a = 905.070215, b = 152.547481\n", "epoch 1541: loss = 1721618.119582, a = 905.156899, b = 152.547425\n", - "epoch 1542: loss = 1721610.445734, a = 905.243410, b = 152.547370\n", + "epoch 1542: loss = 1721610.445734, a = 905.243410, b = 152.547370\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "epoch 1543: loss = 1721602.802156, a = 905.329748, b = 152.547315\n", "epoch 1544: loss = 1721595.188730, a = 905.415913, b = 152.547260\n", "epoch 1545: loss = 1721587.605335, a = 905.501906, b = 152.547205\n", @@ -1878,13 +1920,7 @@ "epoch 1637: loss = 1721003.777210, a = 912.720300, b = 152.542595\n", "epoch 1638: loss = 1720998.523911, a = 912.791687, b = 152.542549\n", "epoch 1639: loss = 1720993.291280, a = 912.862931, b = 152.542504\n", - "epoch 1640: loss = 1720988.079235, a = 912.934032, b = 152.542458\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "epoch 1640: loss = 1720988.079235, a = 912.934032, b = 152.542458\n", "epoch 1641: loss = 1720982.887695, a = 913.004991, b = 152.542413\n", "epoch 1642: loss = 1720977.716578, a = 913.075808, b = 152.542368\n", "epoch 1643: loss = 1720972.565804, a = 913.146484, b = 152.542322\n", @@ -1931,7 +1967,13 @@ "epoch 1684: loss = 1720777.942117, a = 915.925684, b = 152.540547\n", "epoch 1685: loss = 1720773.576714, a = 915.990660, b = 152.540506\n", "epoch 1686: loss = 1720769.228461, a = 916.055507, b = 152.540464\n", - "epoch 1687: loss = 1720764.897290, a = 916.120224, b = 152.540423\n", + "epoch 1687: loss = 1720764.897290, a = 916.120224, b = 152.540423\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "epoch 1688: loss = 1720760.583133, a = 916.184812, b = 152.540382\n", "epoch 1689: loss = 1720756.285922, a = 916.249271, b = 152.540341\n", "epoch 1690: loss = 1720752.005590, a = 916.313601, b = 152.540300\n", @@ -2142,7 +2184,13 @@ "epoch 1895: loss = 1720150.484474, a = 927.119700, b = 152.533398\n", "epoch 1896: loss = 1720148.575721, a = 927.162292, b = 152.533371\n", "epoch 1897: loss = 1720146.674402, a = 927.204800, b = 152.533343\n", - "epoch 1898: loss = 1720144.780489, a = 927.247222, b = 152.533316\n", + "epoch 1898: loss = 1720144.780489, a = 927.247222, b = 152.533316\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "epoch 1899: loss = 1720142.893953, a = 927.289560, b = 152.533289\n", "epoch 1900: loss = 1720141.014763, a = 927.331812, b = 152.533262\n", "epoch 1901: loss = 1720139.142892, a = 927.373981, b = 152.533235\n", @@ -2172,13 +2220,7 @@ "epoch 1925: loss = 1720096.340125, a = 928.361108, b = 152.532605\n", "epoch 1926: loss = 1720094.642123, a = 928.401218, b = 152.532579\n", "epoch 1927: loss = 1720092.950726, a = 928.441248, b = 152.532554\n", - "epoch 1928: loss = 1720091.265906, a = 928.481197, b = 152.532528\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "epoch 1928: loss = 1720091.265906, a = 928.481197, b = 152.532528\n", "epoch 1929: loss = 1720089.587638, a = 928.521067, b = 152.532503\n", "epoch 1930: loss = 1720087.915897, a = 928.560858, b = 152.532477\n", "epoch 1931: loss = 1720086.250656, a = 928.600568, b = 152.532452\n", @@ -2312,7 +2354,13 @@ "epoch 2059: loss = 1719918.651824, a = 933.080108, b = 152.529591\n", "epoch 2060: loss = 1719917.642561, a = 933.110782, b = 152.529571\n", "epoch 2061: loss = 1719916.637192, a = 933.141394, b = 152.529552\n", - "epoch 2062: loss = 1719915.635703, a = 933.171945, b = 152.529532\n", + "epoch 2062: loss = 1719915.635703, a = 933.171945, b = 152.529532\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "epoch 2063: loss = 1719914.638078, a = 933.202435, b = 152.529513\n", "epoch 2064: loss = 1719913.644301, a = 933.232864, b = 152.529493\n", "epoch 2065: loss = 1719912.654359, a = 933.263232, b = 152.529474\n", @@ -2546,7 +2594,13 @@ "epoch 2293: loss = 1719762.633396, a = 938.816897, b = 152.525927\n", "epoch 2294: loss = 1719762.221723, a = 938.836099, b = 152.525915\n", "epoch 2295: loss = 1719761.811609, a = 938.855262, b = 152.525902\n", - "epoch 2296: loss = 1719761.403047, a = 938.874387, b = 152.525890\n", + "epoch 2296: loss = 1719761.403047, a = 938.874387, b = 152.525890\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "epoch 2297: loss = 1719760.996032, a = 938.893474, b = 152.525878\n", "epoch 2298: loss = 1719760.590557, a = 938.912523, b = 152.525866\n", "epoch 2299: loss = 1719760.186616, a = 938.931534, b = 152.525854\n", @@ -2678,13 +2732,7 @@ "epoch 2425: loss = 1719719.760650, a = 941.046575, b = 152.524503\n", "epoch 2426: loss = 1719719.510258, a = 941.061318, b = 152.524493\n", "epoch 2427: loss = 1719719.260800, a = 941.076032, b = 152.524484\n", - "epoch 2428: loss = 1719719.012273, a = 941.090716, b = 152.524475\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "epoch 2428: loss = 1719719.012273, a = 941.090716, b = 152.524475\n", "epoch 2429: loss = 1719718.764672, a = 941.105371, b = 152.524465\n", "epoch 2430: loss = 1719718.517995, a = 941.119997, b = 152.524456\n", "epoch 2431: loss = 1719718.272238, a = 941.134594, b = 152.524447\n", @@ -2747,7 +2795,13 @@ "epoch 2488: loss = 1719705.675518, a = 941.920100, b = 152.523945\n", "epoch 2489: loss = 1719705.477479, a = 941.933097, b = 152.523937\n", "epoch 2490: loss = 1719705.280173, a = 941.946068, b = 152.523928\n", - "epoch 2491: loss = 1719705.083597, a = 941.959012, b = 152.523920\n", + "epoch 2491: loss = 1719705.083597, a = 941.959012, b = 152.523920\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "epoch 2492: loss = 1719704.887748, a = 941.971931, b = 152.523912\n", "epoch 2493: loss = 1719704.692623, a = 941.984824, b = 152.523903\n", "epoch 2494: loss = 1719704.498220, a = 941.997691, b = 152.523895\n", @@ -2979,7 +3033,13 @@ "epoch 2720: loss = 1719674.684551, a = 944.334488, b = 152.522403\n", "epoch 2721: loss = 1719674.599492, a = 944.342656, b = 152.522398\n", "epoch 2722: loss = 1719674.514736, a = 944.350809, b = 152.522392\n", - "epoch 2723: loss = 1719674.430281, a = 944.358945, b = 152.522387\n", + "epoch 2723: loss = 1719674.430281, a = 944.358945, b = 152.522387\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "epoch 2724: loss = 1719674.346128, a = 944.367064, b = 152.522382\n", "epoch 2725: loss = 1719674.262274, a = 944.375168, b = 152.522377\n", "epoch 2726: loss = 1719674.178719, a = 944.383255, b = 152.522372\n", @@ -3126,13 +3186,7 @@ "epoch 2867: loss = 1719664.917619, a = 945.375777, b = 152.521738\n", "epoch 2868: loss = 1719664.866907, a = 945.381863, b = 152.521734\n", "epoch 2869: loss = 1719664.816370, a = 945.387938, b = 152.521730\n", - "epoch 2870: loss = 1719664.766007, a = 945.394000, b = 152.521726\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "epoch 2870: loss = 1719664.766007, a = 945.394000, b = 152.521726\n", "epoch 2871: loss = 1719664.715819, a = 945.400050, b = 152.521722\n", "epoch 2872: loss = 1719664.665804, a = 945.406087, b = 152.521718\n", "epoch 2873: loss = 1719664.615962, a = 945.412113, b = 152.521714\n", @@ -3249,7 +3303,13 @@ "epoch 2984: loss = 1719660.022627, a = 946.011279, b = 152.521332\n", "epoch 2985: loss = 1719659.988619, a = 946.016094, b = 152.521329\n", "epoch 2986: loss = 1719659.954725, a = 946.020900, b = 152.521326\n", - "epoch 2987: loss = 1719659.920945, a = 946.025697, b = 152.521323\n", + "epoch 2987: loss = 1719659.920945, a = 946.025697, b = 152.521323\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "epoch 2988: loss = 1719659.887278, a = 946.030483, b = 152.521320\n", "epoch 2989: loss = 1719659.853724, a = 946.035261, b = 152.521316\n", "epoch 2990: loss = 1719659.820283, a = 946.040028, b = 152.521313\n", @@ -3266,7 +3326,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -3307,12 +3367,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## 3. 如何可视化迭代过程" + "## 3. How to achieve visible iteration process?" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -3328,7 +3388,7 @@ " } else if (typeof(MozWebSocket) !== 'undefined') {\n", " return MozWebSocket;\n", " } else {\n", - " alert('Your browser does not have WebSocket support.' +\n", + " alert('Your browser does not have WebSocket support. ' +\n", " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", " 'Firefox 4 and 5 are also supported but you ' +\n", " 'have to enable WebSockets in about:config.');\n", @@ -3545,7 +3605,7 @@ "mpl.figure.prototype._init_toolbar = function() {\n", " var fig = this;\n", "\n", - " var nav_element = $('
')\n", + " var nav_element = $('
');\n", " nav_element.attr('style', 'width: 100%');\n", " this.root.append(nav_element);\n", "\n", @@ -3602,7 +3662,7 @@ " var fmt = mpl.extensions[ind];\n", " var option = $(\n", " '