from sklearn.mixture import GaussianMixture 如果gaussianmixture是自定义的,确保它已经在当前作用域中定义: 由于GaussianMixture 是scikit-learn 的一部分,并且根据常见的命名习惯,它不太可能是用户自定义的。但如果你确实有一个自定义的 gaussianmixture(可能是类、函数或变量),确保它在你尝试使用它之前已经被定义...
The median absolute deviation from the median and even the mean deviation will both be more resistant than the standard deviation to heavy tails or outliers, in particular from distributions with heavier tails than the normal or Gaussian. The first measure was named the MAD by Andrews et al. ...
where the number of mixture components is exponential in the number of hidden nodes and the mixing proportions of the components are defined by marginalizing out the visible nodes from the joint distribution. GRBM可以被观看作为对角Gaussians混合物以共有的参量,混合物组分的数量是指数的在暗藏的结的数量...