gpmp::ml::Stats Member List

This is the complete list of members for gpmp::ml::Stats, including all inherited members.

absAvgDeviation(const std::vector< double > &x)	gpmp::ml::Stats
b0Estimation(const std::vector< double > &x, const std::vector< double > &y)	gpmp::ml::Stats
b1Estimation(const std::vector< double > &x, const std::vector< double > &y)	gpmp::ml::Stats
chebyshevIneq(const double k)	gpmp::ml::Stats
chiSquareTest(std::vector< double > observed, std::vector< double > expected)	gpmp::ml::Stats
contramean_harmonic(const std::vector< double > &x)	gpmp::ml::Stats
correlation(const std::vector< double > &x, const std::vector< double > &y)	gpmp::ml::Stats
covariance(const std::vector< double > &x, const std::vector< double > &y)	gpmp::ml::Stats
geometricMean(const std::vector< double > &x)	gpmp::ml::Stats
harmonicMean(const std::vector< double > &x)	gpmp::ml::Stats
heinzMean(const double A, const double B, const double x)	gpmp::ml::Stats
heronianMean(const double A, const double B)	gpmp::ml::Stats
identricMean(const double x, const double y)	gpmp::ml::Stats
lehmerMean(const std::vector< double > &x, const double p)	gpmp::ml::Stats
logMean(const double x, const double y)	gpmp::ml::Stats
mean(const std::vector< double > &x)	gpmp::ml::Stats
median(std::vector< double > x)	gpmp::ml::Stats
midrange(const std::vector< double > &x)	gpmp::ml::Stats
mode(const std::vector< double > &x)	gpmp::ml::Stats
neumanSandorMean(const double a, const double b)	gpmp::ml::Stats
powerMean(const std::vector< double > &x, const double p)	gpmp::ml::Stats
R2(const std::vector< double > &x, const std::vector< double > &y)	gpmp::ml::Stats
range(const std::vector< double > &x)	gpmp::ml::Stats
RMS(const std::vector< double > &x)	gpmp::ml::Stats
standardDeviation(const std::vector< double > &x)	gpmp::ml::Stats
stolarskyMean(const double x, const double y, const double p)	gpmp::ml::Stats
variance(const std::vector< double > &x)	gpmp::ml::Stats
weightedMean(const std::vector< double > &x, const std::vector< double > &weights)	gpmp::ml::Stats
weightedmean_lehmer(const std::vector< double > &x, const std::vector< double > &weights, const double p)	gpmp::ml::Stats