Index

A

Adam (class in nnodely.optimizer) Add (class in nnodely.arithmetic) add_defaults() (nnodely.optimizer.Adam method) (nnodely.optimizer.SGD method)

addClosedLoop() (nnodely.nnodely.Modely method) addConnect() (nnodely.nnodely.Modely method) addMinimize() (nnodely.nnodely.Modely method) addModel() (nnodely.nnodely.Modely method) amsgrad (nnodely.optimizer.Adam attribute)

B

b (nnodely.linear.Linear attribute) b_init (nnodely.linear.Linear attribute) b_init_params (nnodely.linear.Linear attribute) betas (nnodely.optimizer.Adam attribute)

bias (nnodely.fir.Fir attribute) bias_init (nnodely.fir.Fir attribute) bias_init_params (nnodely.fir.Fir attribute) bname (nnodely.fir.Fir attribute) (nnodely.linear.Linear attribute)

C

closedLoop() (nnodely.input.Input method) (nnodely.input.State method) connect() (nnodely.input.Input method) (nnodely.input.State method)

Constant (class in nnodely.parameter) constants (nnodely.parametricfunction.ParamFun attribute) Cos (class in nnodely.trigonometric)

D

dampening (nnodely.optimizer.SGD attribute) dim (nnodely.output.Output attribute) (nnodely.parameter.Constant attribute) (nnodely.parameter.Parameter attribute) (nnodely.part.Part attribute) (nnodely.part.SamplePart attribute) (nnodely.part.SampleSelect attribute) (nnodely.part.Select attribute) (nnodely.part.TimePart attribute)

Div (class in nnodely.arithmetic) dropout (nnodely.fir.Fir attribute) (nnodely.linear.Linear attribute)

E

early_stop_patience() (in module nnodely.earlystopping) ELU (class in nnodely.activation) eps (nnodely.optimizer.Adam attribute)

exportONNX() (nnodely.nnodely.Modely method) exportPythonModel() (nnodely.nnodely.Modely method) exportReport() (nnodely.nnodely.Modely method)

F

filterData() (nnodely.nnodely.Modely method)

Fir (class in nnodely.fir) Fuzzify (class in nnodely.fuzzify)

G

getSamples() (nnodely.nnodely.Modely method)

I

importPythonModel() (nnodely.nnodely.Modely method) init_constant() (in module nnodely.initializer) init_exp() (in module nnodely.initializer)

init_lin() (in module nnodely.initializer) init_negexp() (in module nnodely.initializer) Input (class in nnodely.input) input_function (nnodely.localmodel.LocalModel attribute)

J

json (nnodely.fuzzify.Fuzzify attribute) (nnodely.output.Output attribute) (nnodely.parameter.Constant attribute) (nnodely.parameter.Parameter attribute) (nnodely.parametricfunction.ParamFun attribute) (nnodely.part.Part attribute) (nnodely.part.SamplePart attribute) (nnodely.part.SampleSelect attribute) (nnodely.part.Select attribute) (nnodely.part.TimePart attribute)

L

last() (nnodely.input.Input method) (nnodely.input.State method) Linear (class in nnodely.linear) loadData() (nnodely.nnodely.Modely method)

loadModel() (nnodely.nnodely.Modely method) loadTorchModel() (nnodely.nnodely.Modely method) LocalModel (class in nnodely.localmodel) lr (nnodely.optimizer.Adam attribute) (nnodely.optimizer.SGD attribute)

M

map_over_batch (nnodely.parametricfunction.ParamFun attribute) mean_stopping() (in module nnodely.earlystopping) Modely (class in nnodely.nnodely) module nnodely.activation nnodely.arithmetic nnodely.earlystopping nnodely.fir nnodely.fuzzify nnodely.initializer nnodely.input nnodely.linear nnodely.localmodel nnodely.nnodely nnodely.optimizer nnodely.output nnodely.parameter nnodely.parametricfunction nnodely.part nnodely.trigonometric

momentum (nnodely.optimizer.SGD attribute) Mul (class in nnodely.arithmetic)

N

name (nnodely.optimizer.Adam attribute) (nnodely.optimizer.SGD attribute) (nnodely.output.Output attribute) (nnodely.parameter.Constant attribute) (nnodely.parameter.Parameter attribute) (nnodely.part.Part attribute) (nnodely.part.SamplePart attribute) (nnodely.part.SampleSelect attribute) (nnodely.part.Select attribute) (nnodely.part.TimePart attribute) Neg (class in nnodely.arithmetic) nesterov (nnodely.optimizer.SGD attribute) neuralizeModel() (nnodely.nnodely.Modely method) next() (nnodely.input.Input method) (nnodely.input.State method) nnodely (in module nnodely.nnodely) nnodely.activation module nnodely.arithmetic module nnodely.earlystopping module nnodely.fir module

nnodely.fuzzify module nnodely.initializer module nnodely.input module nnodely.linear module nnodely.localmodel module nnodely.nnodely module nnodely.optimizer module nnodely.output module nnodely.parameter module nnodely.parametricfunction module nnodely.part module nnodely.trigonometric module

O

onnxInference() (nnodely.nnodely.Modely method) Output (class in nnodely.output) output_dimension (nnodely.fir.Fir attribute) (nnodely.fuzzify.Fuzzify attribute) (nnodely.linear.Linear attribute) (nnodely.parametricfunction.ParamFun attribute)

output_function (nnodely.localmodel.LocalModel attribute)

P

param_fun (nnodely.parametricfunction.ParamFun attribute) Parameter (class in nnodely.parameter) parameter (nnodely.fir.Fir attribute) parameter_init (nnodely.fir.Fir attribute) parameter_init_params (nnodely.fir.Fir attribute) parameters (nnodely.parametricfunction.ParamFun attribute)

parameters_dimensions (nnodely.parametricfunction.ParamFun attribute) ParamFun (class in nnodely.parametricfunction) Part (class in nnodely.part) pass_indexes (nnodely.localmodel.LocalModel attribute) pname (nnodely.fir.Fir attribute) Pow (class in nnodely.arithmetic)

R

relation_name (nnodely.fir.Fir attribute) (nnodely.fuzzify.Fuzzify attribute) (nnodely.linear.Linear attribute) (nnodely.localmodel.LocalModel attribute) (nnodely.parametricfunction.ParamFun attribute)

Relu (class in nnodely.activation) removeMinimize() (nnodely.nnodely.Modely method) removeModel() (nnodely.nnodely.Modely method) resetSeed() (nnodely.nnodely.Modely method) resetStates() (nnodely.nnodely.Modely method)

S

SamplePart (class in nnodely.part) SampleSelect (class in nnodely.part) saveModel() (nnodely.nnodely.Modely method) saveTorchModel() (nnodely.nnodely.Modely method) Select (class in nnodely.part) select_best_model() (in module nnodely.earlystopping) set_defaults() (nnodely.optimizer.Adam method) (nnodely.optimizer.SGD method) set_params() (nnodely.optimizer.Adam method) (nnodely.optimizer.SGD method)

set_params_to_train() (nnodely.optimizer.Adam method) (nnodely.optimizer.SGD method) SGD (class in nnodely.optimizer) Sin (class in nnodely.trigonometric) standard_early_stopping() (in module nnodely.earlystopping) State (class in nnodely.input) Sub (class in nnodely.arithmetic) sw() (nnodely.input.Input method) (nnodely.input.State method)

T

Tan (class in nnodely.trigonometric) Tanh (class in nnodely.activation) TimePart (class in nnodely.part)

trainModel() (nnodely.nnodely.Modely method) tw() (nnodely.input.Input method) (nnodely.input.State method)

U

unfold() (nnodely.optimizer.Adam method) (nnodely.optimizer.SGD method)

W

W (nnodely.linear.Linear attribute) W_init (nnodely.linear.Linear attribute) W_init_params (nnodely.linear.Linear attribute)

weight_decay (nnodely.optimizer.Adam attribute) (nnodely.optimizer.SGD attribute) Wname (nnodely.linear.Linear attribute)

Z

z() (nnodely.input.Input method) (nnodely.input.State method)