Index

A

absmag_to_fakemag() (in module astroNN.gaia) absmag_to_logsol() (in module astroNN.gaia) absmag_to_pc() (in module astroNN.gaia) allstar() (in module astroNN.apogee) allstar_cannon() (in module astroNN.apogee) allvisit() (in module astroNN.apogee) apogee_astronn() (in module astroNN.apogee.downloader) apogee_continuum() (in module astroNN.apogee) apogee_distances() (in module astroNN.apogee) ApogeeBCNN (class in astroNN.models.apogee_models) ApogeeBCNNCensored (class in astroNN.models.apogee_models) ApogeeCNN (class in astroNN.models.apogee_models) ApogeeCVAE (class in astroNN.models.apogee_models) ApogeeDR14GaiaDR2BCNN (class in astroNN.models.apogee_models) ApokascEncoderDecoder (class in astroNN.models.apogee_models) aspcap_mask() (in module astroNN.apogee) astroNN.apogee module astroNN.apogee.chips module astroNN.apogee.downloader module astroNN.config module astroNN.datasets.galaxy10 module astroNN.datasets.galaxy10sdss module

astroNN.gaia module astroNN.lamost module astroNN.models module astroNN.models.apogee_models module, [1], [2], [3], [4], [5], [6] astroNN.neuralode.odeint module astroNN.nn module astroNN.nn.callbacks module astroNN.nn.layers module astroNN.nn.losses module astroNN.nn.metrics module astroNN.nn.numpy module astroNN.nn.utilities module astroNN.nn.utilities.normalizer module

B

bayesian_binary_crossentropy_var_wrapper() (in module astroNN.nn.losses) bayesian_binary_crossentropy_wrapper() (in module astroNN.nn.losses) bayesian_categorical_crossentropy_var_wrapper() (in module astroNN.nn.losses) bayesian_categorical_crossentropy_wrapper() (in module astroNN.nn.losses) BayesianCNNBase (class in astroNN.models.base_bayesian_cnn)

binary_accuracy() (in module astroNN.nn.losses) binary_crossentropy() (in module astroNN.nn.losses) bitmask_boolean() (in module astroNN.apogee) bitmask_decompositor() (in module astroNN.apogee) BoolMask (class in astroNN.nn.layers)

C

call() (astroNN.nn.layers.BoolMask method) (astroNN.nn.layers.ErrorProp method) (astroNN.nn.layers.FastMCInferenceMeanVar method) (astroNN.nn.layers.FastMCRepeat method) (astroNN.nn.layers.KLDivergenceLayer method) (astroNN.nn.layers.MCDropout method) (astroNN.nn.layers.MCGaussianDropout method) (astroNN.nn.layers.MCSpatialDropout1D method) (astroNN.nn.layers.MCSpatialDropout2D method) (astroNN.nn.layers.StopGrad method)

categorical_accuracy() (in module astroNN.nn.losses) categorical_crossentropy() (in module astroNN.nn.losses) chips_pix_info() (in module astroNN.apogee) chips_split() (in module astroNN.apogee) CNNBase (class in astroNN.models.base_cnn) combined_spectra() (in module astroNN.apogee) ConvVAEBase (class in astroNN.models.base_vae) custom_train_step() (astroNN.models.base_bayesian_cnn.BayesianCNNBase method) (astroNN.models.base_vae.ConvVAEBase method)

E

ErrorOnNaN (class in astroNN.nn.callbacks) ErrorProp (class in astroNN.nn.layers) evaluate() (astroNN.models.base_bayesian_cnn.BayesianCNNBase method) (astroNN.models.base_cnn.CNNBase method) (astroNN.models.base_vae.ConvVAEBase method)

extinction_correction() (in module astroNN.gaia)

F

fakemag_to_absmag() (in module astroNN.gaia) fakemag_to_logsol() (in module astroNN.gaia) fakemag_to_mag() (in module astroNN.gaia) fakemag_to_parallax() (in module astroNN.gaia) fakemag_to_pc() (in module astroNN.gaia) FastMCInference (class in astroNN.nn.layers) FastMCInferenceMeanVar (class in astroNN.nn.layers)

FastMCRepeat (class in astroNN.nn.layers) fit() (astroNN.models.base_bayesian_cnn.BayesianCNNBase method) (astroNN.models.base_cnn.CNNBase method) (astroNN.models.base_vae.ConvVAEBase method) fit_on_batch() (astroNN.models.base_bayesian_cnn.BayesianCNNBase method) (astroNN.models.base_cnn.CNNBase method) (astroNN.models.base_vae.ConvVAEBase method)

G

gap_delete() (in module astroNN.apogee) get_config() (astroNN.models.nn_base.NeuralNetBase method) (astroNN.nn.layers.BoolMask method) (astroNN.nn.layers.ErrorProp method) (astroNN.nn.layers.FastMCInference method) (astroNN.nn.layers.FastMCInferenceMeanVar method) (astroNN.nn.layers.FastMCRepeat method) (astroNN.nn.layers.KLDivergenceLayer method) (astroNN.nn.layers.MCDropout method) (astroNN.nn.layers.MCGaussianDropout method) (astroNN.nn.layers.MCSpatialDropout1D method) (astroNN.nn.layers.MCSpatialDropout2D method) (astroNN.nn.layers.StopGrad method)

get_layer() (astroNN.models.nn_base.NeuralNetBase method) get_weights() (astroNN.models.nn_base.NeuralNetBase method)

H

has_model (astroNN.models.nn_base.NeuralNetBase property)

J

jacobian() (astroNN.models.nn_base.NeuralNetBase method)

jacobian_latent() (astroNN.models.base_vae.ConvVAEBase method)

K

kl_divergence() (in module astroNN.nn.numpy)

KLDivergenceLayer (class in astroNN.nn.layers)

L

l1() (in module astroNN.nn.numpy) l2() (in module astroNN.nn.numpy) load_allstar_dr5() (in module astroNN.lamost) load_apogee_distances() (in module astroNN.datasets)

load_apogee_rc() (in module astroNN.datasets.apogee) load_folder() (in module astroNN.models) logsol_to_absmag() (in module astroNN.gaia) logsol_to_fakemag() (in module astroNN.gaia)

M

mag_to_absmag() (in module astroNN.gaia) mag_to_fakemag() (in module astroNN.gaia) magic_correction_term() (in module astroNN.nn.losses) mask_magicnum() (in module astroNN.nn.numpy) MCDropout (class in astroNN.nn.layers) MCGaussianDropout (class in astroNN.nn.layers) MCSpatialDropout1D (class in astroNN.nn.layers) MCSpatialDropout2D (class in astroNN.nn.layers) mean_absolute_error() (in module astroNN.nn.losses) (in module astroNN.nn.numpy) mean_absolute_percentage_error() (in module astroNN.nn.losses) (in module astroNN.nn.numpy) mean_error() (in module astroNN.nn.losses) mean_percentage_error() (in module astroNN.nn.losses) mean_squared_error() (in module astroNN.nn.losses) mean_squared_logarithmic_error() (in module astroNN.nn.losses) median_absolute_error() (in module astroNN.nn.numpy) median_absolute_percentage_error() (in module astroNN.nn.numpy) module astroNN.apogee astroNN.apogee.chips astroNN.apogee.downloader astroNN.config astroNN.datasets.galaxy10 astroNN.datasets.galaxy10sdss astroNN.gaia astroNN.lamost astroNN.models astroNN.models.apogee_models, [1], [2], [3], [4], [5], [6] astroNN.neuralode.odeint astroNN.nn astroNN.nn.callbacks astroNN.nn.layers astroNN.nn.losses astroNN.nn.metrics astroNN.nn.numpy astroNN.nn.utilities astroNN.nn.utilities.normalizer

mse_lin_wrapper() (in module astroNN.nn.losses) mse_var_wrapper() (in module astroNN.nn.losses)

N

NeuralNetBase (class in astroNN.models.nn_base)

P

plot_dense_stats() (astroNN.models.nn_base.NeuralNetBase method) plot_model() (astroNN.models.nn_base.NeuralNetBase method) predict() (astroNN.models.base_bayesian_cnn.BayesianCNNBase method) (astroNN.models.base_cnn.CNNBase method) (astroNN.models.base_vae.ConvVAEBase method)

predict_decoder() (astroNN.models.base_vae.ConvVAEBase method) predict_encoder() (astroNN.models.base_vae.ConvVAEBase method) pseudo_continuum() (in module astroNN.lamost) pylab_style() (in module astroNN.shared.matplotlib)

R

recompile() (astroNN.models.base_bayesian_cnn.BayesianCNNBase method) (astroNN.models.base_cnn.CNNBase method) (astroNN.models.base_vae.ConvVAEBase method)

relu() (in module astroNN.nn.numpy) robust_binary_crossentropy() (in module astroNN.nn.losses) robust_categorical_crossentropy() (in module astroNN.nn.losses) robust_mse() (in module astroNN.nn.losses)

S

save() (astroNN.models.nn_base.NeuralNetBase method) save_weights() (astroNN.models.nn_base.NeuralNetBase method) savefile() (astroNN.nn.callbacks.VirutalCSVLogger method) sigmoid() (in module astroNN.nn.numpy)

sigmoid_inv() (in module astroNN.nn.numpy) StarNet2017 (class in astroNN.models.apogee_models) StopGrad (class in astroNN.nn.layers) summary() (astroNN.models.nn_base.NeuralNetBase method)

T

transfer_weights() (astroNN.models.nn_base.NeuralNetBase method)

V

VirutalCSVLogger (class in astroNN.nn.callbacks)

visit_spectra() (in module astroNN.apogee)

W

wavelength_solution() (in module astroNN.apogee) (in module astroNN.lamost)

X

xmatch() (in module astroNN.datasets.xmatch)

Z

zeros_loss() (in module astroNN.nn.losses)