EvaluationTools.py 文件源码

def applyNNBig(Xin,model,msize=500,start=150):
    #Returns an adjacency matrix
    n_features=Xin.shape[1]
    X=Xin.copy()
    #Center
    X -= X.mean(axis=0)
    std = X.std(axis=0)
    std[std == 0] = 1
    X /= std
    larger=np.zeros((msize,msize))
    larger[start:start+n_features,start:start+n_features]=X.T.dot(X)/X.shape[0]
    emp_cov_matrix=np.expand_dims(larger,0)

    pred=model.predict(np.expand_dims(emp_cov_matrix,0))
    pred=pred.reshape(msize,msize)[start:start+n_features,start:start+n_features]
    C=np.zeros((X.shape[1],X.shape[1]))
    C[np.triu_indices(n_features,k=1)]=pred[np.triu_indices(n_features,k=1)]
    C=C+C.T
    return C