Index

_

__call__() (astroNN.nn.layers.FastMCInference method)

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.gaia.downloader module astroNN.lamost module astroNN.models module astroNN.models.apogee_models module, [1], [2], [3], [4], [5], [6] astroNN.neuralode module astroNN.neuralode.odeint module astroNN.nn module, [1] 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.MCBatchNorm method) (astroNN.nn.layers.MCConcreteDropout method) (astroNN.nn.layers.MCDropout method) (astroNN.nn.layers.MCGaussianDropout method) (astroNN.nn.layers.MCSpatialDropout1D method) (astroNN.nn.layers.MCSpatialDropout2D method) (astroNN.nn.layers.PolyFit method) (astroNN.nn.layers.StopGrad method) (astroNN.nn.layers.TensorInput 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) flush() (astroNN.models.base_master_nn.NeuralNetMaster method)

G

gaiadr2_parallax() (in module astroNN.gaia) gap_delete() (in module astroNN.apogee) get_config() (astroNN.models.base_master_nn.NeuralNetMaster 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.MCBatchNorm method) (astroNN.nn.layers.MCConcreteDropout method) (astroNN.nn.layers.MCDropout method) (astroNN.nn.layers.MCGaussianDropout method) (astroNN.nn.layers.MCSpatialDropout1D method) (astroNN.nn.layers.MCSpatialDropout2D method) (astroNN.nn.layers.PolyFit method) (astroNN.nn.layers.StopGrad method) (astroNN.nn.layers.TensorInput method)

get_layer() (astroNN.models.base_master_nn.NeuralNetMaster method) get_weights() (astroNN.models.base_master_nn.NeuralNetMaster method)

H

has_model (astroNN.models.base_master_nn.NeuralNetMaster property)

hessian() (astroNN.models.base_master_nn.NeuralNetMaster method)

I

input_shape (astroNN.models.base_master_nn.NeuralNetMaster property)

intpow_avx2() (in module astroNN.nn)

J

jacobian() (astroNN.models.base_master_nn.NeuralNetMaster 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) MCBatchNorm (class in astroNN.nn.layers) MCConcreteDropout (class in astroNN.nn.layers) 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.gaia.downloader astroNN.lamost astroNN.models astroNN.models.apogee_models, [1], [2], [3], [4], [5], [6] astroNN.neuralode astroNN.neuralode.odeint astroNN.nn, [1] 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

NeuralNetMaster (class in astroNN.models.base_master_nn)

O

odeint() (in module astroNN.neuralode.odeint)

output_shape (astroNN.models.base_master_nn.NeuralNetMaster property)

P

plot_dense_stats() (astroNN.models.base_master_nn.NeuralNetMaster method) plot_model() (astroNN.models.base_master_nn.NeuralNetMaster method) PolyFit (class in astroNN.nn.layers) 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) reduce_var() (in module astroNN.nn)

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.base_master_nn.NeuralNetMaster method) save_weights() (astroNN.models.base_master_nn.NeuralNetMaster 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.base_master_nn.NeuralNetMaster method)

T

TensorInput (class in astroNN.nn.layers) tgas() (in module astroNN.gaia)

tgas_load() (in module astroNN.gaia) transfer_weights() (astroNN.models.base_master_nn.NeuralNetMaster method)

U

uses_learning_phase (astroNN.models.base_master_nn.NeuralNetMaster property)

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)