scipy.stats._distribution_infrastructure:UnivariateDistribution

Parameters

tol : positive float, optional

The desired relative tolerance of calculations. Left unspecified, calculations may be faster; when provided, calculations may be more likely to meet the desired accuracy.

validation_policy : {None, "skip_all"}

Specifies the level of input validation to perform. Left unspecified, input validation is performed to ensure appropriate behavior in edge case (e.g. parameters out of domain, argument outside of distribution support, etc.) and improve consistency of output dtype, shape, etc. Pass 'skip_all' to avoid the computational overhead of these checks when rough edges are acceptable.

cache_policy : {None, "no_cache"}

Specifies the extent to which intermediate results are cached. Left unspecified, intermediate results of some calculations (e.g. distribution support, moments, etc.) are cached to improve performance of future calculations. Pass 'no_cache' to reduce memory reserved by the class instance.