logistic回归代价函数的凸性分析

logistic回归的代价函数为： J ( θ ) = − 1 m ∑ i = 1 m [ y ( i ) l o g ( h θ ( x ( i ) ) ) + ( 1 − y ( i ) ) l o g ( 1 − h θ ( x ( i ) ) ) ] J(\theta)=-\frac{1}{m}\sum_{i=1}^m[y^{(i)}log(h_\theta(x^{(i)}))+(1-y^

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