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searchIndex["probability"] = {"doc":"A probability-theory toolbox.","items":[[0,"distribution","probability","Probability distributions.",null,null],[3,"Bernoulli","probability::distribution","A Bernoulli distribution.",null,null],[3,"Beta","","A beta distribution.",null,null],[3,"Binomial","","A binomial distribution.",null,null],[3,"Categorical","","A categorical distribution.",null,null],[3,"Exponential","","An exponential distribution.",null,null],[3,"Gamma","","A gamma distribution.",null,null],[3,"Gaussian","","A Gaussian distribution.",null,null],[3,"Logistic","","A logistic distribution.",null,null],[3,"Lognormal","","A lognormal distribution.",null,null],[3,"Triangular","","A triangular distribution.",null,null],[3,"Uniform","","A continuous uniform distribution.",null,null],[11,"clone","","",0,null],[11,"new","","Create a Bernoulli distribution with success probability `p`.",0,{"inputs":[{"name":"f64"}],"output":{"name":"self"}}],[11,"with_failure","","Create a Bernoulli 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sample.",5,null],[11,"skewness","","",5,null],[11,"variance","","",5,null],[11,"clone","","",6,null],[11,"new","","Create a Gaussian distribution with mean `mu` and standard deviation\n`sigma`.",6,{"inputs":[{"name":"f64"},{"name":"f64"}],"output":{"name":"self"}}],[11,"mu","","Return the mean.",6,null],[11,"sigma","","Return the standard deviation.",6,null],[11,"default","","",6,{"inputs":[],"output":{"name":"self"}}],[11,"density","","",6,null],[11,"distribution","","",6,null],[11,"entropy","","",6,null],[11,"inverse","","Compute the inverse of the cumulative distribution function.",6,null],[11,"kurtosis","","",6,null],[11,"mean","","",6,null],[11,"median","","",6,null],[11,"modes","","",6,null],[11,"sample","","Draw a sample.",6,null],[11,"skewness","","",6,null],[11,"variance","","",6,null],[11,"deviation","","",6,null],[11,"clone","","",7,null],[11,"new","","Create a logistic distribution with location `mu` and scale `s`.",7,{"inputs":[{"name":"f64"},{"name":"f64"}],"output":{"name":"self"}}],[11,"mu","","Return the location parameter.",7,null],[11,"s","","Return the scale parameter.",7,null],[11,"default","","",7,{"inputs":[],"output":{"name":"self"}}],[11,"density","","",7,null],[11,"distribution","","",7,null],[11,"entropy","","",7,null],[11,"inverse","","",7,null],[11,"kurtosis","","",7,null],[11,"mean","","",7,null],[11,"median","","",7,null],[11,"modes","","",7,null],[11,"sample","","",7,null],[11,"skewness","","",7,null],[11,"variance","","",7,null],[11,"clone","","",8,null],[11,"new","","Create a lognormal distribution with location `mu` and scale `sigma`.",8,{"inputs":[{"name":"f64"},{"name":"f64"}],"output":{"name":"self"}}],[11,"mu","","Return the location parameter.",8,null],[11,"sigma","","Return the scale parameter.",8,null],[11,"default","","",8,{"inputs":[],"output":{"name":"self"}}],[11,"density","","",8,null],[11,"distribution","","",8,null],[11,"entropy","","",8,null],[11,"inverse","","",8,null],[11,"kurtosis","","",8,null],[11,"mean","","",8,null],[11,"median","","",8,null],[11,"modes","","",8,null],[11,"sample","","",8,null],[11,"skewness","","",8,null],[11,"variance","","",8,null],[11,"clone","","",9,null],[11,"new","","Create a triangular distribution with mode `c` on interval `[a, b]`.",9,{"inputs":[{"name":"f64"},{"name":"f64"},{"name":"f64"}],"output":{"name":"self"}}],[11,"a","","Return the left endpoint of the support.",9,null],[11,"b","","Return the right endpoint of the support.",9,null],[11,"c","","Return the mode parameter.",9,null],[11,"density","","",9,null],[11,"distribution","","",9,null],[11,"entropy","","",9,null],[11,"inverse","","",9,null],[11,"kurtosis","","",9,null],[11,"mean","","",9,null],[11,"median","","",9,null],[11,"modes","","",9,null],[11,"sample","","",9,null],[11,"skewness","","",9,null],[11,"variance","","",9,null],[11,"clone","","",10,null],[11,"new","","Create a uniform distribution on interval `[a, b]`.",10,{"inputs":[{"name":"f64"},{"name":"f64"}],"output":{"name":"self"}}],[11,"a","","Return the left endpoint of the support.",10,null],[11,"b","","Return the right endpoint of the support.",10,null],[11,"default","","",10,{"inputs":[],"output":{"name":"self"}}],[11,"density","","",10,null],[11,"distribution","","",10,null],[11,"entropy","","",10,null],[11,"inverse","","",10,null],[11,"kurtosis","","",10,null],[11,"mean","","",10,null],[11,"median","","",10,null],[11,"sample","","",10,null],[11,"skewness","","",10,null],[11,"variance","","",10,null],[8,"Continuous","","A 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value.",17,null],[8,"Median","","A distribution capable of computing the median.",null,null],[10,"median","","Compute the median.",18,null],[8,"Modes","","A distribution capable of computing the modes.",null,null],[10,"modes","","Compute the modes.",19,null],[8,"Sample","","A distribution capable of drawing samples.",null,null],[10,"sample","","Draw a sample.",20,null],[8,"Skewness","","A distribution capable of computing the skewness.",null,null],[10,"skewness","","Compute the skewness.",21,null],[8,"Variance","","A distribution capable of computing the variance.",null,null],[10,"variance","","Compute the variance.",22,null],[11,"deviation","","Compute the standard deviation.",22,null],[0,"prelude","probability","Reexports of commonly used entities.",null,null],[3,"Bernoulli","probability::prelude","A Bernoulli distribution.",null,null],[3,"Beta","","A beta distribution.",null,null],[3,"Binomial","","A binomial distribution.",null,null],[3,"Categorical","","A categorical 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