Index

A

Adadelta (class in genome.optimizers)

Adagrad (class in genome.optimizers) Adam (class in genome.optimizers)

B

BaseModel (class in genome.models.base), [1]

BaseOpt (class in genome.optimizers) build() (genome.Genome method)

E

errors() (genome.models.dnn.MLP method) (genome.models.logit.MultinomialLogit method) (in module genome.models.functions)

G

Genome (class in genome) genome (module) genome.models (module) genome.models.base (module), [1] genome.models.dnn (module)

genome.models.functions (module) genome.models.linear (module) genome.models.logit (module) genome.optimizers (module) genome.stats (module)

H

hessians() (in module genome.models.functions)

HiddenLayer (class in genome.models.dnn)

L

LinearRegression (class in genome.models.linear)

M

mean_squared_error() (genome.models.linear.LinearRegression method) (in module genome.models.functions) MLP (class in genome.models.dnn)

MomentumSGD (class in genome.optimizers) MultiLayerModel (class in genome.models.base), [1] MultinomialLogit (class in genome.models.logit)

N

negative_log_likelihood() (genome.models.dnn.MLP method) (genome.models.logit.MultinomialLogit method) (in module genome.models.functions)

R

ResLogit (class in genome.models.dnn) ResNetLayer (class in genome.models.dnn)

RMSProp (class in genome.optimizers) run() (genome.Genome method)

S

set_consider_constants() (genome.optimizers.BaseOpt method) set_hyperparameter() (genome.Genome method)

set_learning_rate() (genome.optimizers.BaseOpt method) set_momentum() (genome.optimizers.MomentumSGD method) SGD (class in genome.optimizers)

U

update() (genome.optimizers.Adadelta method) (genome.optimizers.Adagrad method) (genome.optimizers.Adam method) (genome.optimizers.MomentumSGD method) (genome.optimizers.RMSProp method) (genome.optimizers.SGD method)