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fengdu78 / Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记
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ex5-biasVSvariance的练习中moduleTNC.minimize报错 #85

Open rrwang05 opened 3 years ago

rrwang05 commented 3 years ago

您好，练习5中的多项式特征大于2的时候，执行报错 X_poly, Xval_poly, Xtest_poly = prepare_poly_data(X, Xval, Xtest, power=8) plot_learning_curve(X_poly, y, Xval_poly, yval, l=0)

linear_regression_np(X[:i, :], y[:i], l=1) res = opt.minimize(fun=regularized_cost, x0=theta, args=(X, y, l), method='TNC', jac=regularized_gradient, options={'disp': True}) File "", line 1, in rc, nf, nit, x = moduleTNC.minimize(func_and_grad, x0, low, up, scale, ValueError: tnc: invalid return value from minimized function.

能帮忙看一下吗？