repositório questão aberta

Index

_

__dict__ (sysidentpy.residues.residues_correlation.ResiduesAnalysis attribute)

__module__ (sysidentpy.residues.residues_correlation.ResiduesAnalysis attribute) __weakref__ (sysidentpy.residues.residues_correlation.ResiduesAnalysis attribute)

A

affine_least_mean_squares() (sysidentpy.parameter_estimation.estimators.Estimators method)

aic() (sysidentpy.polynomial_basis.metamss.MetaMSS method)

B

bic() (sysidentpy.polynomial_basis.metamss.MetaMSS method)

BPSOGSA (class in sysidentpy.metaheuristics.bpsogsa) build_information_matrix() (sysidentpy.base.InformationMatrix method)

C

calculate_acceleration() (sysidentpy.metaheuristics.bpsogsa.BPSOGSA method) calculate_gravitational_constant() (sysidentpy.metaheuristics.bpsogsa.BPSOGSA method) check_dimension() (in module sysidentpy.utils._check_arrays) check_infinity() (in module sysidentpy.utils._check_arrays)

check_length() (in module sysidentpy.utils._check_arrays) check_nan() (in module sysidentpy.utils._check_arrays) check_X_y() (in module sysidentpy.utils._check_arrays) compute_info_value() (sysidentpy.polynomial_basis.narmax.PolynomialNarmax method)

D

data_preparation() (sysidentpy.general_estimators.narx.NARX method)

E

error_reduction_ratio() (sysidentpy.polynomial_basis.narmax.PolynomialNarmax method) Estimators (class in sysidentpy.parameter_estimation.estimators)

evaluate_objective_function() (sysidentpy.polynomial_basis.metamss.MetaMSS method) explained_variance_score() (in module sysidentpy.metrics._regression)

F

fit() (sysidentpy.general_estimators.narx.NARX method) (sysidentpy.polynomial_basis.metamss.MetaMSS method) (sysidentpy.polynomial_basis.narmax.PolynomialNarmax method)

forecast_error() (in module sysidentpy.metrics._regression)

G

generate_random_population() (sysidentpy.metaheuristics.bpsogsa.BPSOGSA method) GenerateRegressors (class in sysidentpy.base)

get_miso_data() (in module sysidentpy.utils.generate_data) get_siso_data() (in module sysidentpy.utils.generate_data)

H

HouseHolder (class in sysidentpy.base)

I

information_criterion() (sysidentpy.polynomial_basis.narmax.PolynomialNarmax method)

InformationMatrix (class in sysidentpy.base) initial_lagged_matrix() (sysidentpy.base.InformationMatrix method)

L

least_mean_squares() (sysidentpy.parameter_estimation.estimators.Estimators method) least_mean_squares_fourth() (sysidentpy.parameter_estimation.estimators.Estimators method) least_mean_squares_leaky() (sysidentpy.parameter_estimation.estimators.Estimators method) least_mean_squares_mixed_norm() (sysidentpy.parameter_estimation.estimators.Estimators method) least_mean_squares_normalized_leaky() (sysidentpy.parameter_estimation.estimators.Estimators method) least_mean_squares_normalized_sign_error() (sysidentpy.parameter_estimation.estimators.Estimators method)

least_mean_squares_normalized_sign_regressor() (sysidentpy.parameter_estimation.estimators.Estimators method) least_mean_squares_normalized_sign_sign() (sysidentpy.parameter_estimation.estimators.Estimators method) least_mean_squares_sign_error() (sysidentpy.parameter_estimation.estimators.Estimators method) least_mean_squares_sign_regressor() (sysidentpy.parameter_estimation.estimators.Estimators method) least_mean_squares_sign_sign() (sysidentpy.parameter_estimation.estimators.Estimators method) least_squares() (sysidentpy.parameter_estimation.estimators.Estimators method)

M

mass_calculation() (sysidentpy.metaheuristics.bpsogsa.BPSOGSA method) mean_absolute_error() (in module sysidentpy.metrics._regression) mean_forecast_error() (in module sysidentpy.metrics._regression) mean_squared_error() (in module sysidentpy.metrics._regression) mean_squared_log_error() (in module sysidentpy.metrics._regression) median_absolute_error() (in module sysidentpy.metrics._regression) MetaMSS (class in sysidentpy.polynomial_basis.metamss) metamss_loss() (sysidentpy.polynomial_basis.metamss.MetaMSS method) module sysidentpy.base sysidentpy.general_estimators.narx sysidentpy.metaheuristics.bpsogsa sysidentpy.metrics._regression sysidentpy.parameter_estimation.estimators sysidentpy.polynomial_basis.metamss sysidentpy.polynomial_basis.narmax sysidentpy.polynomial_basis.simulation sysidentpy.residues.residues_correlation sysidentpy.utils._check_arrays sysidentpy.utils.generate_data

N

NARX (class in sysidentpy.general_estimators.narx)

normalized_least_mean_squares() (sysidentpy.parameter_estimation.estimators.Estimators method) normalized_root_mean_squared_error() (in module sysidentpy.metrics._regression)

O

optimize() (sysidentpy.metaheuristics.bpsogsa.BPSOGSA method)

P

perform_t_test() (sysidentpy.polynomial_basis.metamss.MetaMSS method) plot_result() (sysidentpy.residues.residues_correlation.ResiduesAnalysis method)

PolynomialNarmax (class in sysidentpy.polynomial_basis.narmax) predict() (sysidentpy.general_estimators.narx.NARX method) (sysidentpy.polynomial_basis.narmax.PolynomialNarmax method)

R

r2_score() (in module sysidentpy.metrics._regression) recursive_least_squares() (sysidentpy.parameter_estimation.estimators.Estimators method) regressor_space() (sysidentpy.base.GenerateRegressors method) residuals() (sysidentpy.residues.residues_correlation.ResiduesAnalysis method)

ResiduesAnalysis (class in sysidentpy.residues.residues_correlation) results() (sysidentpy.polynomial_basis.narmax.PolynomialNarmax method) root_mean_squared_error() (in module sysidentpy.metrics._regression) root_relative_squared_error() (in module sysidentpy.metrics._regression)

S

shift_column() (sysidentpy.base.InformationMatrix method) sigmoid_linear_unit_derivative() (sysidentpy.polynomial_basis.metamss.MetaMSS method) simulate() (sysidentpy.polynomial_basis.simulation.SimulatePolynomialNarmax method) SimulatePolynomialNarmax (class in sysidentpy.polynomial_basis.simulation) symmetric_mean_absolute_percentage_error() (in module sysidentpy.metrics._regression) sysidentpy.base module sysidentpy.general_estimators.narx module sysidentpy.metaheuristics.bpsogsa module sysidentpy.metrics._regression module

sysidentpy.parameter_estimation.estimators module sysidentpy.polynomial_basis.metamss module sysidentpy.polynomial_basis.narmax module sysidentpy.polynomial_basis.simulation module sysidentpy.residues.residues_correlation module sysidentpy.utils._check_arrays module sysidentpy.utils.generate_data module

T

total_least_squares() (sysidentpy.parameter_estimation.estimators.Estimators method)

U

update_velocity_position() (sysidentpy.metaheuristics.bpsogsa.BPSOGSA method)