Go to the source code of this file.
|
float | mean (EST_FVector &m) |
|
EST_FVector | mean (EST_FMatrix &m) |
|
EST_FVector | sample_variance (EST_FMatrix &m) |
|
EST_FVector | sample_stdev (EST_FMatrix &m) |
|
EST_FMatrix | sample_covariance (EST_FMatrix &m) |
|
EST_FMatrix | sample_correlation (EST_FMatrix &m) |
|
EST_FMatrix | euclidean_distance (EST_FMatrix &m) |
|
EST_FMatrix | penrose_distance (EST_FMatrix &m) |
|
EST_FMatrix | normalise (EST_FMatrix &m, EST_FVector &sub, EST_FVector &div) |
|
EST_FMatrix | penrose_distance (EST_FMatrix &gu, EST_FVector &gv) |
|
EST_FMatrix | mahalanobis_distance (EST_FMatrix &gu, EST_FMatrix &v) |
|
EST_FMatrix | population_mean (EST_FMatrix *in, int num_pop) |
|
EST_FMatrix | add_populations (EST_FMatrix *in, int num_pop) |
|
EST_FMatrix | confusion (EST_StrStr_KVL &list, EST_StrList &lex) |
|
void | print_confusion (const EST_FMatrix &a, EST_StrStr_KVL &list, EST_StrList &lex) |
|
int | ols (const EST_FMatrix &X, const EST_FMatrix &Y, EST_FMatrix &coeffs) |
|
int | robust_ols (const EST_FMatrix &X, const EST_FMatrix &Y, EST_FMatrix &coeffs) |
|
int | robust_ols (const EST_FMatrix &X, const EST_FMatrix &Y, EST_IVector &included, EST_FMatrix &coeffs) |
|
int | stepwise_ols (const EST_FMatrix &X, const EST_FMatrix &Y, const EST_StrList &feat_names, float limit, EST_FMatrix &coeffs, const EST_FMatrix &Xtest, const EST_FMatrix &Ytest, EST_IVector &included) |
|
int | ols_apply (const EST_FMatrix &samples, const EST_FMatrix &coeffs, EST_FMatrix &res) |
|
int | ols_test (const EST_FMatrix &real, const EST_FMatrix &predicted, float &correlation, float &rmse) |
|