问题描述
我正在使用在这里找到的这段代码对具有2个类的二进制分类进行逻辑回归。
https://github.com/datafleets/horizontal-federated-learning-blog/blob/master/horizontal-fl.ipynb
我正在测试的数据要求进行多类分类（6个类）。
如果我有6个类，是否可以使用上面找到的相同代码？这样，预测就属于以下类别或活动之一：步行，上楼，楼下，坐着，站立，躺下。
https://www.kaggle.com/uciml/human-activity-recognition-with-smartphones
任何建议都将受到高度赞赏。
更新： 我试图更改set_weights和train_model中的模型，
model=linear_model.SGDClassifier()
到
model = LogisticRegression(solver='lbfgs',multi_class='ovr',max_iter=1000,random_state=20)
但是它不起作用!!!!!!
TypeError: '(array([402,286,419,194,644,151,127,567,359,7,616,209,465,546,144,182,582,528,263,192,185,690,241,211,36,296,143,637,401,264,74,365,385,700,28,514,406,606,328,410,673,726,260,276,572,103,398,267,256,550,563,321,46,203,463,195,702,405,343,392,476,670,60,427,474,197,645,55,610,175,647,367,641,364,573,593,213,251,366,489,262,706,268,140,730,345,425,512,487,608,61,319,115,284,99,409,456,464,310,727,313,447,125,400,481,181,722,322,352,325,375,171,347,714,318,294,655,383,164,141,89,253,513,293,633,530,568,350,157,218,5,468,155,547,1,496,76,624,395,643,397,139,266,721,255,196,170,583,622,349,459,49,515,179,215,27,698,704,581,71,537,661,107,129,500,399,38,339,600,564,679,326,615,231,305,176,617,225,467,353,35,723,82,92,334,16,230,686,440,455,101,435,521,189,295,220,205,362,363,242,493,154,495,420,597,710,660,79,344,628,707,720,450,333,243,239,236,559,689,50,120,108,498,329,372,477,497,502,626,360,62,436,148,434,540,370,542,109,407,41,130,575,638,177,183,40,691,439,158,671,53,556,548,279,228,506,156,659,636,95,371,19,412,39,348,377,566,14,443,240,390,428,100,229,532,501,237,404,475,423,551,553,257,17,664,373,66,729,601,159,499,314,86,433,522,524,96,351,238,165,642,719,42,186,217,336,374,571,299,278,316,718,309,437,75,393,574,162,557,713,529,2,32,672,486,29,10,84,270,453,442,562,26,356,288,461,509,711,355,346,45,701,519,135,525,303,152,577,684,651,91,6,591,460,161,222,254,387,160,283,683,488,607,479,78,538,394,199,269,31,457,630,68,535,623,658,180,611,63,511,482,212,13,9,248,214,668,190,579,517,149,484,552,444,682,124,386,697,118,543,297,112,424,308,21,138,411,648,639,470,210,56,280,18,33,667,324,445,508,272,249,545,287,202,43,632,709,678,235,587,430,654,656,223,687,491,25,187,85,677,458,408,3,134,30,23,15,614,657,292,131,233,12,724,198,145,59,178,734,304,403,712,396,596,332,142,281,301,216,116,376,106,88,646,174,503,603,34,389,358,110,341,167,416,302,146,681,485,317,570,361,438,219,388,422,70,415,73,132,618,733,191,728,426,380,505,688,261,111,588,699,77,122,137,166,612,227,94,695,592,717,330,716,446,311,93,494,173,452,674,282,24,431,391,57,539,207,69,413,555,441,90,676,153,421,201,4,629,432,472,594,554,451,731,478,119,483,634,289,666,273,703,640,22,578,705,580,265,449,369,354,384,662,105,584,234,586,277,680,585,469,298,480,121,536,417,527,8,315,306,605,275,11,454,516,340,54,549,693,113,58,589,184,665,320,47,102,448,337,52,274,627,418,259,87,569,685,471,379,381,37,526,631,590,669,725,378,128,533,65,72,342,335,504,221,48,675,252,307,692,245,708,188,200,561,150,715,83,599,732,531,114,285,625,20,126,382,635,104,123,291,598,541,649,51,534,414,331,694,163,206,258,652,224,576,204,80,64,518,133,602,650,492,558,250,290,312,327,208,338,246,271,696,98,44,117,609,323,466,81,462,247,621,544,613,604,523,147,429,193,595,244,619,520,300,565,653,172,473,226,168,620,368,67,169,490,510,507,232,560,663,357,97,136]),)' is an invalid key
解决方法
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