data_converter.py 文件源码

def replace_missing(X):
    # This is ugly, but
    try:
        if X.getformat()=='csr':
            return X
    except:
    X[np.isnan(X)]=-999.0 #djajetic 05.09.2015
    return X #djajetic 05.09.2015

        p=len(X)
        nn=len(X[0])*2
        XX = np.zeros([p,nn])
        for i in range(len(X)):
            line = X[i]
            line1 = [0 if np.isnan(x) else x for x in line]
            line2 = [1 if np.isnan(x) else 0 for x in line] # indicator of missingness
            XX[i] = line1 + line2
    return XX