Index

_

__init__() (cherimoya.cheri.CheriBlock method) (cherimoya.cherimoya.Cherimoya method) (cherimoya.cherimoya.EMA method) (cherimoya.io.PeakNegativeSampler method)

_mixture_loss() (in module cherimoya.losses)

A

apply_shadow() (cherimoya.cherimoya.EMA method)

B

backward() (cherimoya.cheri.FusedDilatedConvNormFunc static method)

batched_smoothed_function() (in module cherimoya.performance)

C

calculate_performance_measures() (in module cherimoya.performance) CheriBlock (class in cherimoya.cheri) Cherimoya (class in cherimoya.cherimoya) cherimoya.cheri module cherimoya.cherimoya module

cherimoya.io module cherimoya.losses module cherimoya.performance module

E

EMA (class in cherimoya.cherimoya)

F

fit() (cherimoya.cherimoya.Cherimoya method) forward() (cherimoya.cheri.CheriBlock method) (cherimoya.cheri.FusedDilatedConvNormFunc static method) (cherimoya.cherimoya.Cherimoya method)

fused_dilated_conv_norm() (in module cherimoya.cheri) FusedDilatedConvNormFunc (class in cherimoya.cheri)

J

jensen_shannon_distance() (in module cherimoya.performance)

L

load() (cherimoya.cherimoya.Cherimoya class method)

log1pMSELoss() (in module cherimoya.losses)

M

mean_squared_error() (in module cherimoya.performance) MNLLLoss() (in module cherimoya.losses) module cherimoya.cheri cherimoya.cherimoya cherimoya.io cherimoya.losses cherimoya.performance

P

PeakGenerator() (in module cherimoya.io)

PeakNegativeSampler (class in cherimoya.io) pearson_corr() (in module cherimoya.performance)

R

restore() (cherimoya.cherimoya.EMA method)

S

save() (cherimoya.cherimoya.Cherimoya method)

smooth_gaussian1d() (in module cherimoya.performance) spearman_corr() (in module cherimoya.performance)

U

update() (cherimoya.cherimoya.EMA method)