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__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)
allstarcannon() (in module astroNN.apogee)
allvisit() (in module astroNN.apogee)
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)
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.gaia (module)
astroNN.gaia.downloader (module)
astroNN.lamost (module)
astroNN.models (module)
astroNN.models.apogee_models (module)
,
[1]
,
[2]
,
[3]
,
[4]
,
[5]
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)
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)
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)
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)
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 attribute)
hessian() (astroNN.models.base_master_nn.NeuralNetMaster method)
hessian_diag() (astroNN.models.base_master_nn.NeuralNetMaster method)
I
input_shape (astroNN.models.base_master_nn.NeuralNetMaster attribute)
intpow_avx2() (in module astroNN.nn)
J
jacobian() (astroNN.models.base_master_nn.NeuralNetMaster method)
jacobian_old() (astroNN.models.base_master_nn.NeuralNetMaster 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_rc)
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)
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)
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
output_shape (astroNN.models.base_master_nn.NeuralNetMaster attribute)
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)
pseudo_continuum() (in module astroNN.lamost)
R
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
test() (astroNN.models.base_bayesian_cnn.BayesianCNNBase method)
(astroNN.models.base_cnn.CNNBase method)
(astroNN.models.base_vae.ConvVAEBase method)
test_encoder() (astroNN.models.base_vae.ConvVAEBase method)
test_old() (astroNN.models.base_bayesian_cnn.BayesianCNNBase method)
tgas() (in module astroNN.gaia)
tgas_load() (in module astroNN.gaia)
train() (astroNN.models.base_bayesian_cnn.BayesianCNNBase method)
(astroNN.models.base_cnn.CNNBase method)
(astroNN.models.base_vae.ConvVAEBase method)
train_on_batch() (astroNN.models.base_bayesian_cnn.BayesianCNNBase method)
(astroNN.models.base_cnn.CNNBase method)
(astroNN.models.base_vae.ConvVAEBase method)
U
uses_learning_phase (astroNN.models.base_master_nn.NeuralNetMaster attribute)
V
VirutalCSVLogger (class in astroNN.nn.callbacks)
visit_spectra() (in module astroNN.apogee)
W
wavelength_solution() (in module astroNN.apogee)
(in module astroNN.lamost)
Z
zeros_loss() (in module astroNN.nn.losses)
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