Index

B

best_coeffs() (snmachine.snfeatures.WaveletFeatures method)

C

classify() (snmachine.snclassifier.OptimisedClassifier method)

convert_astropy_array() (snmachine.snfeatures.Features method)

D

Dataset (class in snmachine.sndata)

E

evaluate() (snmachine.parametric_models.KarpenkaModel method) (snmachine.parametric_models.NewlingModel method) extract_features() (snmachine.snfeatures.ParametricFeatures method) (snmachine.snfeatures.TemplateFeatures method) (snmachine.snfeatures.WaveletFeatures method)

extract_GP() (snmachine.snfeatures.WaveletFeatures method) extract_pca() (snmachine.snfeatures.WaveletFeatures method) extract_wavelets() (snmachine.snfeatures.WaveletFeatures method)

F

F1() (in module snmachine.snclassifier) Features (class in snmachine.snfeatures) fit_sn() (snmachine.snfeatures.ParametricFeatures method) (snmachine.snfeatures.TemplateFeatures method) (snmachine.snfeatures.WaveletFeatures method)

FoM() (in module snmachine.snclassifier)

G

get_data() (snmachine.sndata.OpsimDataset method) (snmachine.sndata.SDSS_Simulations method) get_info() (snmachine.sndata.SDSS_Data method) get_lightcurve() (snmachine.sndata.Dataset method) (snmachine.sndata.OpsimDataset method) (snmachine.sndata.SDSS_Data method) (snmachine.sndata.SDSS_Simulations method) get_MAP() (in module snmachine.snfeatures) get_max_length() (snmachine.sndata.Dataset method)

get_object_names() (snmachine.sndata.Dataset method) (snmachine.sndata.SDSS_Data method) get_photo() (snmachine.sndata.SDSS_Data method) get_redshift() (snmachine.sndata.Dataset method) get_SNe() (snmachine.sndata.SDSS_Data method) get_spectro() (snmachine.sndata.SDSS_Data method) get_tsne() (in module snmachine.tsne_plot) get_types() (snmachine.sndata.Dataset method) goodness_of_fit() (snmachine.snfeatures.Features method) GP() (snmachine.snfeatures.WaveletFeatures method)

I

iswt() (snmachine.snfeatures.WaveletFeatures method)

K

KarpenkaModel (class in snmachine.parametric_models)

L

lnprob_emcee() (snmachine.snfeatures.ParametricFeatures method)

N

NewlingModel (class in snmachine.parametric_models)

O

OpsimDataset (class in snmachine.sndata) optimised_classify() (snmachine.snclassifier.OptimisedClassifier method)

OptimisedClassifier (class in snmachine.snclassifier) output_time() (in module snmachine.snfeatures)

P

ParametricFeatures (class in snmachine.snfeatures) pca() (snmachine.snfeatures.WaveletFeatures method) plot() (in module snmachine.tsne_plot) plot_all() (snmachine.sndata.Dataset method) plot_lc() (in module snmachine.sndata) (snmachine.sndata.Dataset method)

plot_roc() (in module snmachine.snclassifier) plot_tsne() (in module snmachine.tsne_plot) posterior_predictor() (snmachine.snfeatures.Features method) project_pca() (snmachine.snfeatures.WaveletFeatures method)

R

reduced_chi_squared() (snmachine.sndata.Dataset method) registerBands() (snmachine.snfeatures.TemplateFeatures method) restart_from_gp() (snmachine.snfeatures.WaveletFeatures method)

restart_from_wavelets() (snmachine.snfeatures.WaveletFeatures method) roc() (in module snmachine.snclassifier) run_emcee() (snmachine.snfeatures.ParametricFeatures method) run_pipeline() (in module snmachine.snclassifier)

S

SDSS_Data (class in snmachine.sndata) SDSS_Simulations (class in snmachine.sndata) set_model() (snmachine.sndata.Dataset method) sim_stats() (snmachine.sndata.Dataset method)

snmachine.parametric_models (module) snmachine.snclassifier (module) snmachine.sndata (module) snmachine.snfeatures (module) snmachine.tsne_plot (module)

T

TemplateFeatures (class in snmachine.snfeatures)

W

wavelet_decomp() (snmachine.snfeatures.WaveletFeatures method)

WaveletFeatures (class in snmachine.snfeatures)