Index

_

__call__() (MicroLIA.optimization.objective_nn method) (MicroLIA.optimization.objective_rf method) (MicroLIA.optimization.objective_xgb method) _delta() (in module MicroLIA.helper_features) _dup_with_tol() (in module MicroLIA.helper_features) _first_sig_digit() (in module MicroLIA.helper_features) _fit() (MicroLIA.simulate.RRLyraeTemplateModelerMultiband method) _flux_percentile_ratio() (in module MicroLIA.helper_features) _frac_sigma() (in module MicroLIA.helper_features) _get_param_names() (MicroLIA.feature_selection.BorutaSHAP class method)

_get_template_by_id() (MicroLIA.simulate.RRLyraeTemplateModeler method) _longest_true_run() (in module MicroLIA.helper_features) _predict() (MicroLIA.simulate.RRLyraeTemplateModelerMultiband method) _raw_templates (MicroLIA.simulate.RRLyraeTemplateModeler attribute) _safe_weights() (in module MicroLIA.helper_features) _score() (MicroLIA.simulate.RRLyraeTemplateModelerMultiband method) _set_style_() (in module MicroLIA.ensemble_model) _template_ids() (MicroLIA.simulate.RRLyraeTemplateModeler method) _weighted_median() (in module MicroLIA.helper_features) _weighted_percentile() (in module MicroLIA.helper_features) _weighted_percentiles() (in module MicroLIA.helper_features)

A

above1() (in module MicroLIA.features) above3() (in module MicroLIA.features) above5() (in module MicroLIA.features) abs_energy() (in module MicroLIA.features) abs_sum_changes() (in module MicroLIA.features) accepted (MicroLIA.feature_selection.BorutaSHAP attribute)

add_gaussian_noise() (in module MicroLIA.noise_models) add_noise() (in module MicroLIA.noise_models) all_columns (MicroLIA.feature_selection.BorutaSHAP attribute) amplitude() (in module MicroLIA.features) AndersonDarling() (in module MicroLIA.features) auto_corr() (in module MicroLIA.features)

B

below1() (in module MicroLIA.features) below3() (in module MicroLIA.features) below5() (in module MicroLIA.features) benford_correlation() (in module MicroLIA.features)

binomial_H0_test() (MicroLIA.feature_selection.BorutaSHAP static method) bonferoni_corrections() (MicroLIA.feature_selection.BorutaSHAP static method) BorutaSHAP (class in MicroLIA.feature_selection) borutashap_opt() (in module MicroLIA.optimization)

C

c3() (in module MicroLIA.features) calculate_hits() (MicroLIA.feature_selection.BorutaSHAP method) calculate_rejected_accepted_tentative() (MicroLIA.feature_selection.BorutaSHAP method) calculate_Zscore() (MicroLIA.feature_selection.BorutaSHAP static method) check_for_duplicate() (in module MicroLIA.features) check_for_max_duplicate() (in module MicroLIA.features) check_for_min_duplicate() (in module MicroLIA.features) Check_if_chose_train_or_test_and_train_model() (MicroLIA.feature_selection.BorutaSHAP method) check_max_last_loc() (in module MicroLIA.features) check_min_last_loc() (in module MicroLIA.features) check_missing_values() (MicroLIA.feature_selection.BorutaSHAP method) check_model() (MicroLIA.feature_selection.BorutaSHAP method) check_X() (MicroLIA.feature_selection.BorutaSHAP method) Classifier (class in MicroLIA.ensemble_model) complexity() (in module MicroLIA.features) con_above1() (in module MicroLIA.features)

con_above3() (in module MicroLIA.features) con_above5() (in module MicroLIA.features) con_below1() (in module MicroLIA.features) con_below3() (in module MicroLIA.features) con_below5() (in module MicroLIA.features) count_above() (in module MicroLIA.features) count_below() (in module MicroLIA.features) create() (in module MicroLIA.training_set) (MicroLIA.ensemble_model.Classifier method) create_importance_history() (MicroLIA.feature_selection.BorutaSHAP method) create_list() (MicroLIA.feature_selection.BorutaSHAP static method) create_mapping_between_cols_and_indices() (MicroLIA.feature_selection.BorutaSHAP method) create_mapping_of_features_to_attribute() (MicroLIA.feature_selection.BorutaSHAP method), [1] create_noise() (in module MicroLIA.noise_models) create_shadow_features() (MicroLIA.feature_selection.BorutaSHAP method) cusum() (in module MicroLIA.features)

D

df (in module MicroLIA.test.test_classifier)

E

evaluate_model() (in module MicroLIA.ensemble_model)

explain() (MicroLIA.feature_selection.BorutaSHAP method) extract_all() (in module MicroLIA.extract_features)

F

feature_importance() (MicroLIA.feature_selection.BorutaSHAP method) file (in module MicroLIA.test.test_classifier), [1] (in module MicroLIA.test.test_features) find_index_of_true_in_array() (MicroLIA.feature_selection.BorutaSHAP static method) find_sample() (MicroLIA.feature_selection.BorutaSHAP method) first_loc_max() (in module MicroLIA.features) first_loc_min() (in module MicroLIA.features) fit() (MicroLIA.feature_selection.BorutaSHAP method), [1] flatten_list() (MicroLIA.feature_selection.BorutaSHAP static method)

flux (in module MicroLIA.test.test_features) flux_err (in module MicroLIA.test.test_features) FluxPercentileRatioMid20() (in module MicroLIA.features) FluxPercentileRatioMid35() (in module MicroLIA.features) FluxPercentileRatioMid50() (in module MicroLIA.features) FluxPercentileRatioMid65() (in module MicroLIA.features) FluxPercentileRatioMid80() (in module MicroLIA.features) folder (in module MicroLIA.test.test_classifier) format_labels() (in module MicroLIA.ensemble_model)

G

generate_matrix() (in module MicroLIA.ensemble_model) generate_plot() (in module MicroLIA.ensemble_model) get_5_percent() (MicroLIA.feature_selection.BorutaSHAP static method)

get_5_percent_splits() (MicroLIA.feature_selection.BorutaSHAP method) get_params() (MicroLIA.feature_selection.BorutaSHAP method) Gskew() (in module MicroLIA.features)

H

half_mag_amplitude_ratio() (in module MicroLIA.features) history_shadow (MicroLIA.feature_selection.BorutaSHAP attribute)

history_x (MicroLIA.feature_selection.BorutaSHAP attribute) hits (MicroLIA.feature_selection.BorutaSHAP attribute) hyper_opt() (in module MicroLIA.optimization)

I

impute_missing_values() (in module MicroLIA.optimization) index_mass_quantile() (in module MicroLIA.features)

integrate() (in module MicroLIA.features) isolation_forest() (MicroLIA.feature_selection.BorutaSHAP static method)

K

kurtosis() (in module MicroLIA.features)

L

large_standard_deviation() (in module MicroLIA.features) LinearTrend() (in module MicroLIA.features) load() (MicroLIA.ensemble_model.Classifier method)

load_all() (in module MicroLIA.training_set) longest_strike_above() (in module MicroLIA.features) longest_strike_below() (in module MicroLIA.features) loo_training() (MicroLIA.ensemble_model.Classifier method)

M

mask (in module MicroLIA.test.test_features) MaxSlope() (in module MicroLIA.features) mean_abs_change() (in module MicroLIA.features) mean_change() (in module MicroLIA.features) mean_n_abs_max() (in module MicroLIA.features) mean_second_derivative() (in module MicroLIA.features) meanMag() (in module MicroLIA.features) median_buffer_range() (in module MicroLIA.features) median_distance() (in module MicroLIA.features) medianAbsDev() (in module MicroLIA.features) MicroLIA module MicroLIA.cnn_model module MicroLIA.data module MicroLIA.ensemble_model module MicroLIA.extract_features module MicroLIA.feature_selection module MicroLIA.features module MicroLIA.helper_features module MicroLIA.noise_models module MicroLIA.optimization module MicroLIA.quality_check module

MicroLIA.simulate module MicroLIA.test module MicroLIA.test.test_classifier module MicroLIA.test.test_features module MicroLIA.training_set module min_max_norm() (in module MicroLIA.ensemble_model) missing_values_y() (MicroLIA.feature_selection.BorutaSHAP method) model (in module MicroLIA.test.test_classifier) module MicroLIA MicroLIA.cnn_model MicroLIA.data MicroLIA.ensemble_model MicroLIA.extract_features MicroLIA.feature_selection MicroLIA.features MicroLIA.helper_features MicroLIA.noise_models MicroLIA.optimization MicroLIA.quality_check MicroLIA.simulate MicroLIA.test MicroLIA.test.test_classifier MicroLIA.test.test_features MicroLIA.training_set

N

norm_flux (in module MicroLIA.test.test_features) norm_fluxerr (in module MicroLIA.test.test_features)

number_cwt_like_peaks() (in module MicroLIA.features) number_of_crossings() (in module MicroLIA.features)

O

objective_nn (class in MicroLIA.optimization)

objective_rf (class in MicroLIA.optimization) objective_xgb (class in MicroLIA.optimization)

P

PairSlopeTrend() (in module MicroLIA.features) PercentAmplitude() (in module MicroLIA.features) PercentDifferenceFluxPercentile() (in module MicroLIA.features) permutation_entropy() (in module MicroLIA.features) plot() (in module MicroLIA.training_set) plot_conf_matrix() (MicroLIA.ensemble_model.Classifier method)

plot_feature_opt() (MicroLIA.ensemble_model.Classifier method) plot_hyper_opt() (MicroLIA.ensemble_model.Classifier method) plot_hyper_param_importance() (MicroLIA.ensemble_model.Classifier method) plot_roc_curve() (MicroLIA.ensemble_model.Classifier method) plot_tsne() (MicroLIA.ensemble_model.Classifier method) predict() (MicroLIA.ensemble_model.Classifier method) prominence_peaks() (in module MicroLIA.features)

Q

quantile_25() (in module MicroLIA.features) quantile_5() (in module MicroLIA.features)

quantile_50() (in module MicroLIA.features) quantile_75() (in module MicroLIA.features) quantile_95() (in module MicroLIA.features)

R

ratio_recurring_points() (in module MicroLIA.features) rejected (MicroLIA.feature_selection.BorutaSHAP attribute) remove_features_if_rejected() (MicroLIA.feature_selection.BorutaSHAP method) resource_package (in module MicroLIA.test.test_classifier), [1], [2] (in module MicroLIA.test.test_features)

results_to_csv() (MicroLIA.feature_selection.BorutaSHAP method), [1] root_mean_squared() (in module MicroLIA.features) RRLyraeTemplateModeler (class in MicroLIA.simulate) RRLyraeTemplateModelerMultiband (class in MicroLIA.simulate)

S

sample_entropy() (in module MicroLIA.features) save() (MicroLIA.ensemble_model.Classifier method) save_hyper_importance() (MicroLIA.ensemble_model.Classifier method) set_params() (MicroLIA.feature_selection.BorutaSHAP method) shannon_entropy() (in module MicroLIA.features) shapiro_wilk() (in module MicroLIA.features) skewness() (in module MicroLIA.features) standardize_data() (in module MicroLIA.optimization)

std_over_mean() (in module MicroLIA.features) stetsonJ() (in module MicroLIA.features) stetsonK() (in module MicroLIA.features) stetsonL() (in module MicroLIA.features) store_feature_importance() (MicroLIA.feature_selection.BorutaSHAP method) Strawman_imputation() (in module MicroLIA.optimization) sum_values() (in module MicroLIA.features) symmetry_looking() (in module MicroLIA.features)

T

tentative (MicroLIA.feature_selection.BorutaSHAP attribute) Test (class in MicroLIA.test.test_classifier) (class in MicroLIA.test.test_features) test_above1() (MicroLIA.test.test_features.Test method) test_above3() (MicroLIA.test.test_features.Test method) test_above5() (MicroLIA.test.test_features.Test method) test_abs_energy() (MicroLIA.test.test_features.Test method) test_abs_sum_changes() (MicroLIA.test.test_features.Test method) test_amplitude() (MicroLIA.test.test_features.Test method) test_AndersonDarling() (MicroLIA.test.test_features.Test method) test_auto_corr() (MicroLIA.test.test_features.Test method) test_base_nn_model() (MicroLIA.test.test_classifier.Test method) test_base_rf_model() (MicroLIA.test.test_classifier.Test method) test_base_xgb_model() (MicroLIA.test.test_classifier.Test method) test_below1() (MicroLIA.test.test_features.Test method) test_below3() (MicroLIA.test.test_features.Test method) test_below5() (MicroLIA.test.test_features.Test method) test_benford_correlation() (MicroLIA.test.test_features.Test method) test_c3() (MicroLIA.test.test_features.Test method) test_check_for_duplicate() (MicroLIA.test.test_features.Test method) test_check_for_max_duplicate() (MicroLIA.test.test_features.Test method) test_check_for_min_duplicate() (MicroLIA.test.test_features.Test method) test_check_max_last_loc() (MicroLIA.test.test_features.Test method) test_check_min_last_loc() (MicroLIA.test.test_features.Test method) test_complexity() (MicroLIA.test.test_features.Test method) test_con() (MicroLIA.test.test_features.Test method) test_constant_imputer() (MicroLIA.test.test_classifier.Test method) test_count_above() (MicroLIA.test.test_features.Test method) test_count_below() (MicroLIA.test.test_features.Test method) test_cusum() (MicroLIA.test.test_features.Test method) test_cv() (in module MicroLIA.quality_check) test_extract_all() (MicroLIA.test.test_features.Test method) test_features() (MicroLIA.feature_selection.BorutaSHAP method) test_first_loc_max() (MicroLIA.test.test_features.Test method) test_first_loc_min() (MicroLIA.test.test_features.Test method) test_FluxPercentileRatioMid20() (MicroLIA.test.test_features.Test method) test_FluxPercentileRatioMid35() (MicroLIA.test.test_features.Test method) test_FluxPercentileRatioMid50() (MicroLIA.test.test_features.Test method) test_FluxPercentileRatioMid65() (MicroLIA.test.test_features.Test method) test_FluxPercentileRatioMid80() (MicroLIA.test.test_features.Test method) test_Gskew() (MicroLIA.test.test_features.Test method) test_half_mag_amplitude_ratio() (MicroLIA.test.test_features.Test method) test_index_mass_quantile() (MicroLIA.test.test_features.Test method) test_integrate() (MicroLIA.test.test_features.Test method) test_knn_imputer() (MicroLIA.test.test_classifier.Test method) test_kurtosis() (MicroLIA.test.test_features.Test method) test_large_standard_deviation() (MicroLIA.test.test_features.Test method) test_lc (in module MicroLIA.test.test_classifier) (in module MicroLIA.test.test_features)

test_LinearTrend() (MicroLIA.test.test_features.Test method) test_longest_strike_above() (MicroLIA.test.test_features.Test method) test_longest_strike_below() (MicroLIA.test.test_features.Test method) test_MaxSlope() (MicroLIA.test.test_features.Test method) test_mean_abs_change() (MicroLIA.test.test_features.Test method) test_mean_change() (MicroLIA.test.test_features.Test method) test_mean_imputer() (MicroLIA.test.test_classifier.Test method) test_mean_n_abs_max() (MicroLIA.test.test_features.Test method) test_mean_second_derivative() (MicroLIA.test.test_features.Test method) test_meanMag() (MicroLIA.test.test_features.Test method) test_median_buffer_range() (MicroLIA.test.test_features.Test method) test_median_distance() (MicroLIA.test.test_features.Test method) test_median_imputer() (MicroLIA.test.test_classifier.Test method) test_medianAbsDev() (MicroLIA.test.test_features.Test method) test_microlensing() (in module MicroLIA.quality_check) test_mode_imputer() (MicroLIA.test.test_classifier.Test method) test_number_cwt_peaks() (MicroLIA.test.test_features.Test method) test_number_of_crossings() (MicroLIA.test.test_features.Test method) test_number_of_peaks() (MicroLIA.test.test_features.Test method) test_PairSlopeTrend() (MicroLIA.test.test_features.Test method) test_peak_detection() (MicroLIA.test.test_features.Test method) test_PercentAmplitude() (MicroLIA.test.test_features.Test method) test_PercentDifferenceFluxPercentile() (MicroLIA.test.test_features.Test method) test_permutation_entropy() (MicroLIA.test.test_features.Test method) test_predict() (MicroLIA.test.test_classifier.Test method) test_quantile() (MicroLIA.test.test_features.Test method) test_ratio_recurring_points() (MicroLIA.test.test_features.Test method) test_root_mean_squared() (MicroLIA.test.test_features.Test method) test_sample_entropy() (MicroLIA.test.test_features.Test method) test_shannon_entropy() (MicroLIA.test.test_features.Test method) test_shapiro_wilk() (MicroLIA.test.test_features.Test method) test_skewness() (MicroLIA.test.test_features.Test method) test_std_over_mean() (MicroLIA.test.test_features.Test method) test_stetsonJ() (MicroLIA.test.test_features.Test method) test_stetsonK() (MicroLIA.test.test_features.Test method) test_stetsonL() (MicroLIA.test.test_features.Test method) test_sum_values() (MicroLIA.test.test_features.Test method) test_symmetry_looking() (MicroLIA.test.test_features.Test method) test_time_reversal_asymmetry() (MicroLIA.test.test_features.Test method) test_variance() (MicroLIA.test.test_features.Test method) test_variance_larger_than_standard_deviation() (MicroLIA.test.test_features.Test method) test_variation_coefficient() (MicroLIA.test.test_features.Test method) test_vonNeumannRatio() (MicroLIA.test.test_features.Test method) time_reversal_asymmetry() (in module MicroLIA.features) time_reversal_asymmetry_normalized() (in module MicroLIA.features) to_dictionary() (MicroLIA.feature_selection.BorutaSHAP static method) Train_model() (MicroLIA.feature_selection.BorutaSHAP method)

U

update_importance_history() (MicroLIA.feature_selection.BorutaSHAP method)

V

variance() (in module MicroLIA.features) variance_larger_than_standard_deviation() (in module MicroLIA.features)

variation_coefficient() (in module MicroLIA.features) vonNeumannRatio() (in module MicroLIA.features)

W

windowed_peak_fraction() (in module MicroLIA.features)

X

X_boruta (MicroLIA.feature_selection.BorutaSHAP attribute)

Z

zp (in module MicroLIA.test.test_features)