Index

C

coef_ (exhbma.exhaustive_search.ExhaustiveLinearRegression attribute) (exhbma.linear_regression.LinearRegression attribute)

E

ExhaustiveLinearRegression (class in exhbma.exhaustive_search) exhbma.integrate module

exhbma.probabilities module

F

feature_posteriors_ (exhbma.exhaustive_search.ExhaustiveLinearRegression attribute)

fit() (exhbma.exhaustive_search.ExhaustiveLinearRegression method) (exhbma.linear_regression.LinearRegression method)

G

gamma() (in module exhbma.probabilities)

I

indicators_ (exhbma.exhaustive_search.ExhaustiveLinearRegression attribute) integrate_log_values_in_line() (in module exhbma.integrate)

integrate_log_values_in_square() (in module exhbma.integrate) inverse() (in module exhbma.probabilities)

L

LinearRegression (class in exhbma.linear_regression) log_likelihood_ (exhbma.exhaustive_search.ExhaustiveLinearRegression attribute) (exhbma.linear_regression.LinearRegression attribute)

log_likelihood_over_sigma_ (exhbma.exhaustive_search.ExhaustiveLinearRegression attribute) log_likelihoods_ (exhbma.exhaustive_search.ExhaustiveLinearRegression attribute) log_priors_ (exhbma.exhaustive_search.ExhaustiveLinearRegression attribute)

M

models_ (exhbma.exhaustive_search.ExhaustiveLinearRegression attribute) module exhbma.integrate exhbma.probabilities

N

n_features_in_ (exhbma.exhaustive_search.ExhaustiveLinearRegression attribute) (exhbma.linear_regression.LinearRegression attribute)

P

predict() (exhbma.exhaustive_search.ExhaustiveLinearRegression method) (exhbma.linear_regression.LinearRegression method)

S

select_variables() (exhbma.exhaustive_search.ExhaustiveLinearRegression method)

StandardScaler (class in exhbma.scaler)

U

uniform() (in module exhbma.probabilities)