Index

_

__author__ (in module linna) __call__() (linna.nn.LinearModel method) (linna.nn.pytorchPolynomialLinear method) (linna.nnutils.RunningAverage method) (linna.util._FunctionWrapper method) (linna.util.Auxilleryfunc method) (linna.util.Ddlnp method) (linna.util.Dlnp method) (linna.util.invTransform method) (linna.util.Log_prob method) (linna.util.LogPrior method) (linna.util.Loss_fn method) (linna.util.Transform method) (linna.util.Val_metric_fn method) (linna.util.X_transform_class method) (linna.util.Y_invtransform_class method) (linna.util.Y_invtransform_data method) (linna.util.Y_transform_class method) (linna.util.Y_transform_data method)

__credits__ (in module linna) __email__ (in module linna) __getitem__() (linna.util.ArrayDataset method) __len__() (linna.util.ArrayDataset method) __version__ (in module linna) _dummy_callback() (in module linna.util) _FunctionWrapper (class in linna.util) _HMC_sample() (linna.util.NN_samplerv1 method) _NUTS_sample() (linna.util.NN_samplerv1 method)

A

ArrayDataset (class in linna.util)

Auxilleryfunc (class in linna.util)

B

bcast() (linna.util.chtoPool method)

C

chisqcut_all() (in module linna.util) ChtoModelv2 (class in linna.nn) ChtoModelv2_linear (class in linna.nn)

chtoMultiprocessPool (class in linna.util) chtoPool (class in linna.util) CPU_Unpickler (class in linna.util)

D

Ddlnp (class in linna.util)

dict (linna.nnutils.Params property) Dlnp (class in linna.util)

E

emcee_sample() (linna.util.NN_samplerv1 method)

F

find_class() (linna.util.CPU_Unpickler method) fit() (linna.nn.pytorchPolynomialLinear method)

forward() (linna.nn.ChtoModelv2 method) (linna.nn.ChtoModelv2_linear method) (linna.nn.ResBlock_batchnorm method)

G

gauss2unif() (in module linna.util) gaussianlogliklihood() (in module linna.util) gen_plot() (in module linna.nnutils) generate_training_data() (linna.util.NN_samplerv1 method)

generate_training_point() (in module linna.util) gensample_chain() (linna.util.NN_samplerv1 method) gensample_chain_randomsample() (linna.util.NN_samplerv1 method) gensample_flat() (linna.util.NN_samplerv1 method) get_good_walker_list() (in module linna.util)

I

init_weight() (linna.nn.ChtoModelv2 method) (linna.nn.ChtoModelv2_linear method) (linna.nn.ResBlock_batchnorm method) initialize (in module linna.util)

invgauss2unif() (in module linna.util) invTransform (class in linna.util) is_master() (linna.util.chtoMultiprocessPool method) istrained() (linna.nn.LinearModel method)

L

LinearModel (class in linna.nn) linna module linna.main module linna.nn module linna.nnutils module

linna.util module lnprior() (in module linna.util) load_checkpoint() (in module linna.nnutils) Log_prob (class in linna.util) logp_theory_data() (in module linna.util) LogPrior (class in linna.util) Loss_fn (class in linna.util)

M

makepositivedefinite() (in module linna.util) map() (linna.util.chtoMultiprocessPool method) (linna.util.chtoPool method) median_absolute_deviation() (in module linna.util) ml_sampler() (in module linna.main) ml_sampler_core() (in module linna.main)

module linna linna.main linna.nn linna.nnutils linna.util

N

NN_samplerv1 (class in linna.util)

noduplicate_close() (linna.util.chtoMultiprocessPool method) (linna.util.chtoPool method)

P

Params (class in linna.nnutils) pickle() (linna.util.X_transform_class method) (linna.util.Y_invtransform_class method) (linna.util.Y_invtransform_data method) (linna.util.Y_transform_class method) (linna.util.Y_transform_data method)

predict() (linna.nn.LinearModel method) pytorchPolynomialLinear (class in linna.nn)

R

read_chain_and_cut() (in module linna.util) ResBlock_batchnorm (class in linna.nn) retrieve_model() (in module linna.util)

retrieve_model_wrapper_in() (in module linna.util) run_mcmc() (in module linna.util) RunningAverage (class in linna.nnutils)

S

save() (linna.nn.LinearModel method) (linna.nnutils.Params method)

save_checkpoint() (in module linna.nnutils) save_dict_to_json() (in module linna.nnutils) set_logger() (in module linna.nnutils)

T

train() (linna.nn.LinearModel method) train_NN() (in module linna.util) train_nn() (in module linna.util)

trainsform() (linna.nn.pytorchPolynomialLinear method) Transform (class in linna.util) transform_cov() (linna.util.Y_invtransform_class method) (linna.util.Y_transform_data method)

U

update() (linna.nnutils.Params method) (linna.nnutils.RunningAverage method)

V

Val_metric_fn (class in linna.util)

W

wait() (linna.util.chtoPool method)

X

X_transform_class (class in linna.util)

Y

Y_invtransform_class (class in linna.util) Y_invtransform_data (class in linna.util)

Y_transform_class (class in linna.util) Y_transform_data (class in linna.util)

Z

Zeus_sample() (linna.util.NN_samplerv1 method)