python
python后端是classicML的标准后端，虽然它暂未进行任何优化，但它尽可能的保证高兼容性.
- _utils
- activations
- callbacks
- data
- initializers
- kernels
- losses
- metrics
- ops
- bootstrap_sampling
- ConvexHull
- calculate_centroids
- calculate_covariances
- calculate_error
- calculate_euclidean_distance
- calculate_means
- calculate_mixture_coefficient
- clip_alpha
- compare_differences
- get_cluster
- get_conditional_probability
- get_dependent_prior_probability
- get_gaussian_mixture_distribution_posterior_probability
- get_gaussian_mixture_distribution_probability_density
- get_normal_distribution_probability_density
- get_prior_probability
- get_probability_density
get_w- get_w_v2
- get_within_class_scatter_matrix
- init_centroids
- init_covariances
- init_mixture_coefficient
- select_second_alpha
- type_of_target
- optimizers
- tree