统计和机器学习 统计和机器学习*"部分介绍了用于统计分析和机器学习方法的软件包。该部分包括用于处理权重向量、计算标量和稳健统计、分析协方差以及排序和排序相关性的函数。此外,还介绍了多变量汇总统计和经验估计函数,这有助于对信号进行相关性分析和处理大量数据。 StatsBase.jl Weight Vectors Scalar Statistics Robust Statistics Computing Deviations Scatter Matrix and Covariance Counting Functions Rankings and Rank Correlations Sampling from Population Empirical Estimation Correlation Analysis of Signals Multivariate Summary Statistics Miscellaneous Functions Abstraction for Statistical Models Data Transformations Distributions.jl Getting Started Type Hierarchy Univariate Distributions Truncated Distributions Censored Distributions Multivariate Distributions Matrix-variate Distributions Reshaping distributions Cholesky-variate Distributions Mixture Models Order Statistics Convolutions Distribution Fitting Create New Samplers and Distributions Support for DensityInterface GLM.jl Examples API RDatasets.jl