示例#1
0
def ftrMet(dataSet, ftr):
    col = data.numpyDump(dataSet, ftr)
    return {metric: np.asscalar(getattr(np, metric)(col)) for metric in ['min', 'max', 'mean']}
示例#2
0
文件： mds.py 项目： kdinkla/ProtoMPDA 
 def column(colName):
     col = data.numpyDump(dataSet, colName).astype(np.float64)
     return (col - np.mean(col)) / np.std(col)
示例#3
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def scaledArray(dataSet, column):
    return adaptiveScale(data.numpyDump(dataSet, column), featureMetrics(dataSet)[column])