Index

A

almost_equal_to() (WaveformParameters method)

array (WaveformParameters property)

B

best_hyperparameters() (HyperparameterOptimization method)

best_trial_under_n() (in module mlgw_bns.neural_network)

C

combined (Residuals property)

compute_polarizations() (in module mlgw_bns.model)

D

Dataset (class in mlgw_bns.dataset_generation) dlambda (WaveformParameters property)

DownsamplingIndices (class in mlgw_bns.data_management) DownsamplingTraining (class in mlgw_bns.downsampling_interpolation)

E

effective_one_body_waveform() (FixedWaveformGenerator method) (WaveformGenerator method)

eta (WaveformParameters property)

F

FDWaveforms (class in mlgw_bns.data_management) file_arrays (Model property) filename_hyper (Model property) filename_nn (Model property) find_indices() (GreedyDownsamplingTraining method) fit() (NeuralNetwork method) (PrincipalComponentAnalysisModel method) (SklearnNetwork method) FixedParameterGenerator (class in mlgw_bns.fixed_dataset_training)

FixedWaveformGenerator (class in mlgw_bns.fixed_dataset_training) flatten_phase() (Residuals method) frequencies (Dataset property) frequencies_hz (Dataset property) from_combined_residuals() (Residuals class method) from_file() (NeuralNetwork class method) (SklearnNetwork class method) from_parameter_generator() (ParameterSet class method) from_trial() (Hyperparameters class method) from_two_waveform_datasets() (Residuals class method)

G

generate() (Model method) generate_residuals() (Dataset method) (WaveformGenerator method)

generate_waveforms_from_params() (Dataset method) GreedyDownsamplingTraining (class in mlgw_bns.downsampling_interpolation) group_name (SavableData property) gw170817() (ParametersWithExtrinsic class method)

H

high_frequency_grid() (in module mlgw_bns.multibanding) HyperparameterOptimization (class in mlgw_bns.hyperparameter_optimization)

Hyperparameters (class in mlgw_bns.neural_network) hz_to_natural_units() (Dataset method)

I

IndexedWaveformParameters (class in mlgw_bns.fixed_dataset_training)

indices_error() (GreedyDownsamplingTraining method)

L

lambdatilde (WaveformParameters property)

load() (Model method) low_frequency_grid() (in module mlgw_bns.multibanding)

M

m_1 (WaveformParameters property) m_2 (WaveformParameters property) make_fixed_generation_pair() (in module mlgw_bns.fixed_dataset_training) make_parameter_generator() (Dataset method) mass_sum_seconds (Dataset property) mismatch() (ValidateModel method) mismatch_array() (ValidateModel method) mlgw_bns module mlgw_bns.data_management module mlgw_bns.dataset_generation module mlgw_bns.downsampling_interpolation module mlgw_bns.fixed_dataset_training module mlgw_bns.hyperparameter_optimization module mlgw_bns.model module

mlgw_bns.model_validation module mlgw_bns.neural_network module mlgw_bns.principal_component_analysis module mlgw_bns_prefactor() (Dataset method) Model (class in mlgw_bns.model) module mlgw_bns mlgw_bns.data_management mlgw_bns.dataset_generation mlgw_bns.downsampling_interpolation mlgw_bns.fixed_dataset_training mlgw_bns.hyperparameter_optimization mlgw_bns.model mlgw_bns.model_validation mlgw_bns.neural_network mlgw_bns.principal_component_analysis

N

natural_units_to_hz() (Dataset method)

NeuralNetwork (class in mlgw_bns.neural_network) nn_params (Hyperparameters property)

O

objective() (HyperparameterOptimization method) optimal_df_hz() (Dataset method)

optimize() (HyperparameterOptimization method) optimize_and_save() (HyperparameterOptimization method)

P

param_set() (ValidateModel method) parameter_set_cls (FixedParameterGenerator attribute) (ParameterGenerator attribute) ParameterGenerator (class in mlgw_bns.dataset_generation) ParameterSet (class in mlgw_bns.dataset_generation) ParametersWithExtrinsic (class in mlgw_bns.model) pca_model (Model property) phase_unwrapping() (in module mlgw_bns.data_management) plot_pareto() (HyperparameterOptimization method) post_newtonian_amplitude() (WaveformGenerator method)

post_newtonian_phase() (WaveformGenerator method) post_newtonian_waveforms() (ValidateModel method) predict() (Model method) (NeuralNetwork method) (SklearnNetwork method) predict_residuals_bulk() (Model method) predicted_waveforms() (ValidateModel method) PrincipalComponentAnalysisModel (class in mlgw_bns.principal_component_analysis) PrincipalComponentData (class in mlgw_bns.data_management) PrincipalComponentTraining (class in mlgw_bns.principal_component_analysis) psd_at_frequencies (ValidateModel property)

R

recompose_residuals() (Dataset method) reconstruct_data() (PrincipalComponentAnalysisModel static method) reduce_data() (PrincipalComponentAnalysisModel static method) reduced_frequency_array() (in module mlgw_bns.multibanding)

reduced_residuals (Model property) resample() (DownsamplingTraining class method) Residuals (class in mlgw_bns.data_management) residuals_difference() (HyperparameterOptimization static method) retrieve_best_trials_list() (in module mlgw_bns.neural_network)

S

SavableData (class in mlgw_bns.data_management) save() (NeuralNetwork method) (SklearnNetwork method) save_arrays() (Model method) save_best_trials_to_file() (HyperparameterOptimization method)

save_to_file() (SavableData method) seglen_from_freq() (in module mlgw_bns.multibanding) set_hyper_and_train_nn() (Model method) SklearnNetwork (class in mlgw_bns.neural_network) study_filename (HyperparameterOptimization property)

T

taylor_f2() (WaveformParameters method) taylor_f2_prefactor() (Dataset method) teobresums() (WaveformParameters method) teobresums_dict() (ParametersWithExtrinsic method) time_until_merger() (Model method)

train() (DownsamplingTraining method) (GreedyDownsamplingTraining method) train_nn() (Model method) training_data_number (HyperparameterOptimization property) true_waveforms() (ValidateModel method)

V

validate_downsampling() (DownsamplingTraining method)

ValidateModel (class in mlgw_bns.model_validation) validation_mismatches() (ValidateModel method)

W

waveform_parameters() (ParameterSet method)

WaveformGenerator (class in mlgw_bns.dataset_generation) WaveformParameters (class in mlgw_bns.dataset_generation)