生成one-hot编码

来源：互联网发布：怎么做淘宝客服教程编辑：程序博客网时间：2024/05/28 03:01
import numpy as npfrom sklearn import preprocessingenc = preprocessing.OneHotEncoder()microvideolabel = np.array([[0], [1], [2], [3],[4], [5], [6], [7],[8], [9],               [10], [11],[12], [13], [14], [15],[16], [17], [18], [19],              [20], [21],[22], [23], [24], [25],[26], [27], [28], [29],              [30], [31],[32], [33], [34], [35],[36], [37], [38], [39],              [40], [41],[42], [43], [44], [45],[46], [47], [48], [49],              [50], [51],[52], [53], [54], [55],[56], [57], [58], [59],              [60], [61],[62], [63], [64], [65],[66], [67], [68], [69],              [70], [71],[72], [73], [74], [75],[76], [77], [78], [79],              [80], [81],[82], [83], [84], [85],[86], [87], [88], [89],              [90], [91],[92], [93], [94], [95],[96], [97], [98], [99],              [100], [101],[102], [103], [104], [105],[106], [107], [108], [109],              [110], [111],[112], [113], [114], [115],[116], [117], [118], [119],              [120], [121],[122], [123], [124], [125],[126], [127], [128], [129],              [130], [131],[132], [133], [134], [135],[136], [137], [138], [139],              [140], [141],[142], [143], [144], [145],[146], [147], [148], [149],              [150], [151],[152], [153], [154], [155],[156], [157], [158], [159],              [160], [161],[162], [163], [164], [165],[166], [167], [168], [169],              [170], [171],[172], [173], [174], [175],[176], [177], [178], [179],              [180], [181],[182], [183], [184], [185],[186], [187]                         ])enc.fit(microvideolabel)t = np.array()print enc.transform([[1]]).toarray()
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