Index

_

__call__() (nnodely.operators.composer.Composer method)

A

Adam (class in nnodely.basic.optimizer) Add (class in nnodely.layers.arithmetic) add_defaults() (nnodely.basic.optimizer.Adam method) (nnodely.basic.optimizer.SGD method) addClosedLoop() (in module nnodely.operators.composer.Composer)

addConnect() (in module nnodely.operators.composer.Composer) addMinimize() (in module nnodely.operators.trainer.Trainer) addModel() (in module nnodely.operators.composer.Composer) amsgrad (nnodely.basic.optimizer.Adam attribute) analyzeModel() (in module nnodely.operators.validator.Validator)

B

b (nnodely.layers.fir.Fir attribute) (nnodely.layers.linear.Linear attribute) b_init (nnodely.layers.fir.Fir attribute) (nnodely.layers.linear.Linear attribute)

b_init_params (nnodely.layers.fir.Fir attribute) (nnodely.layers.linear.Linear attribute) betas (nnodely.basic.optimizer.Adam attribute) bname (nnodely.layers.fir.Fir attribute) (nnodely.layers.linear.Linear attribute)

C

clearNames() (nnodely.layers.input.Input class method) (nnodely.layers.output.Output class method) closedLoop() (nnodely.basic.relation.Stream method) (nnodely.layers.input.Input method) connect() (nnodely.basic.relation.Stream method) (nnodely.layers.input.Input method)

Constant (class in nnodely.layers.parameter) constants (nnodely.layers.parametricfunction.ParamFun attribute) (nnodely.nnodely.Modely property) Cos (class in nnodely.layers.trigonometric) Cosh (class in nnodely.layers.trigonometric)

D

dampening (nnodely.basic.optimizer.SGD attribute) delay() (nnodely.basic.relation.Stream method) dim (nnodely.layers.input.Input attribute) (nnodely.layers.output.Output attribute) (nnodely.layers.parameter.Constant attribute) (nnodely.layers.parameter.Parameter attribute) (nnodely.layers.parameter.SampleTime attribute) (nnodely.layers.part.Part attribute) (nnodely.layers.part.SamplePart attribute) (nnodely.layers.part.SampleSelect attribute) (nnodely.layers.part.Select attribute) (nnodely.layers.part.TimePart attribute)

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

E

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

EquationLearner (class in nnodely.layers.equationlearner) exportONNX() (in module nnodely.operators.exporter.Exporter) exportPythonModel() (in module nnodely.operators.exporter.Exporter) exportReport() (in module nnodely.operators.exporter.Exporter)

F

filterData() (in module nnodely.operators.loader.Loader) Fir (class in nnodely.layers.fir)

func_parameters (nnodely.layers.equationlearner.EquationLearner attribute) functions (nnodely.layers.equationlearner.EquationLearner attribute) Fuzzify (class in nnodely.layers.fuzzify)

G

getSamples() (in module nnodely.operators.loader.Loader)

getTrainingInfo() (in module nnodely.operators.trainer.Trainer)

I

Identity (class in nnodely.layers.activation) importPythonModel() (in module nnodely.operators.exporter.Exporter) init_constant() (in module nnodely.support.initializer) init_exp() (in module nnodely.support.initializer)

init_lin() (in module nnodely.support.initializer) init_negexp() (in module nnodely.support.initializer) Input (class in nnodely.layers.input) input_function (nnodely.layers.localmodel.LocalModel attribute) internals (nnodely.nnodely.Modely property)

J

json (nnodely.layers.fuzzify.Fuzzify attribute) (nnodely.layers.input.Input attribute) (nnodely.layers.output.Output attribute) (nnodely.layers.parameter.Constant attribute) (nnodely.layers.parameter.Parameter attribute) (nnodely.layers.parameter.SampleTime attribute) (nnodely.layers.parametricfunction.ParamFun attribute) (nnodely.layers.part.Part attribute) (nnodely.layers.part.SamplePart attribute) (nnodely.layers.part.SampleSelect attribute) (nnodely.layers.part.Select attribute) (nnodely.layers.part.TimePart attribute) (nnodely.nnodely.Modely property)

json_name (nnodely.layers.input.Input attribute)

L

last() (nnodely.layers.input.Input method) Linear (class in nnodely.layers.linear) linear_in (nnodely.layers.equationlearner.EquationLearner attribute) linear_out (nnodely.layers.equationlearner.EquationLearner attribute) loadData() (in module nnodely.operators.loader.Loader)

loadModel() (in module nnodely.operators.exporter.Exporter) loadTorchModel() (in module nnodely.operators.exporter.Exporter) LocalModel (class in nnodely.layers.localmodel) lr (nnodely.basic.optimizer.Adam attribute) (nnodely.basic.optimizer.SGD attribute)

M

map_over_batch (nnodely.layers.parametricfunction.ParamFun attribute) mean_stopping() (in module nnodely.support.earlystopping) Modely (class in nnodely.nnodely) module nnodely.basic.optimizer nnodely.basic.relation nnodely.layers.activation nnodely.layers.arithmetic nnodely.layers.equationlearner nnodely.layers.fir nnodely.layers.fuzzify nnodely.layers.input nnodely.layers.linear nnodely.layers.localmodel nnodely.layers.output nnodely.layers.parameter nnodely.layers.parametricfunction nnodely.layers.part nnodely.layers.trigonometric nnodely.operators.composer nnodely.operators.exporter nnodely.operators.loader nnodely.operators.trainer nnodely.operators.validator nnodely.support.earlystopping nnodely.support.initializer

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

N

n_activations (nnodely.layers.equationlearner.EquationLearner attribute) name (nnodely.basic.optimizer.Adam attribute) (nnodely.basic.optimizer.SGD attribute) (nnodely.layers.input.Input attribute) (nnodely.layers.output.Output attribute) (nnodely.layers.parameter.Constant attribute) (nnodely.layers.parameter.Parameter attribute) (nnodely.layers.parameter.SampleTime attribute) (nnodely.layers.part.Part attribute) (nnodely.layers.part.SamplePart attribute) (nnodely.layers.part.SampleSelect attribute) (nnodely.layers.part.Select attribute) (nnodely.layers.part.TimePart attribute) names (nnodely.layers.input.Input attribute) (nnodely.layers.output.Output attribute) Neg (class in nnodely.layers.arithmetic) nesterov (nnodely.basic.optimizer.SGD attribute) neuralized (nnodely.nnodely.Modely property) neuralizeModel() (in module nnodely.operators.composer.Composer) next() (nnodely.layers.input.Input method) nnodely.basic.optimizer module nnodely.basic.relation module nnodely.layers.activation module nnodely.layers.arithmetic module nnodely.layers.equationlearner module nnodely.layers.fir module

nnodely.layers.fuzzify module nnodely.layers.input module nnodely.layers.linear module nnodely.layers.localmodel module nnodely.layers.output module nnodely.layers.parameter module nnodely.layers.parametricfunction module nnodely.layers.part module nnodely.layers.trigonometric module nnodely.operators.composer module nnodely.operators.exporter module nnodely.operators.loader module nnodely.operators.trainer module nnodely.operators.validator module nnodely.support.earlystopping module nnodely.support.initializer module

O

onnxInference() (in module nnodely.operators.exporter.Exporter) Output (class in nnodely.layers.output) output_dimension (nnodely.layers.fir.Fir attribute) (nnodely.layers.fuzzify.Fuzzify attribute) (nnodely.layers.linear.Linear attribute) (nnodely.layers.parametricfunction.ParamFun attribute)

output_function (nnodely.layers.localmodel.LocalModel attribute)

P

param_fun (nnodely.layers.parametricfunction.ParamFun attribute) Parameter (class in nnodely.layers.parameter) parameters (nnodely.layers.parametricfunction.ParamFun attribute) (nnodely.nnodely.Modely property) parameters_dimensions (nnodely.layers.parametricfunction.ParamFun attribute)

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

R

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

Relu (class in nnodely.layers.activation) removeConnection() (in module nnodely.operators.composer.Composer) removeMinimize() (in module nnodely.operators.trainer.Trainer) removeModel() (in module nnodely.operators.composer.Composer) resamplingData() (in module nnodely.operators.loader.Loader) resetSeed() (nnodely.nnodely.Modely method)

S

s() (nnodely.basic.relation.Stream method) (nnodely.layers.input.Input method) SamplePart (class in nnodely.layers.part) SampleSelect (class in nnodely.layers.part) SampleTime (class in nnodely.layers.parameter) saveModel() (in module nnodely.operators.exporter.Exporter) saveTorchModel() (in module nnodely.operators.exporter.Exporter) Sech (class in nnodely.layers.trigonometric) Select (class in nnodely.layers.part) select_best_model() (in module nnodely.support.earlystopping) set_defaults() (nnodely.basic.optimizer.Adam method) (nnodely.basic.optimizer.SGD method) set_params() (nnodely.basic.optimizer.Adam method) (nnodely.basic.optimizer.SGD method)

set_params_to_train() (nnodely.basic.optimizer.Adam method) (nnodely.basic.optimizer.SGD method) SGD (class in nnodely.basic.optimizer) Sigmoid (class in nnodely.layers.activation) Sin (class in nnodely.layers.trigonometric) Softmax (class in nnodely.layers.activation) standard_early_stopping() (in module nnodely.support.earlystopping) states (nnodely.nnodely.Modely property) Stream (class in nnodely.basic.relation) Sub (class in nnodely.layers.arithmetic) sw() (nnodely.basic.relation.Stream method) (nnodely.layers.input.Input method)

T

Tan (class in nnodely.layers.trigonometric) Tanh (class in nnodely.layers.trigonometric) TimePart (class in nnodely.layers.part) traced (nnodely.nnodely.Modely property)

trainAndAnalyze() (nnodely.nnodely.Modely method) trainModel() (in module nnodely.operators.trainer.Trainer) tw() (nnodely.basic.relation.Stream method) (nnodely.layers.input.Input method)

U

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

W

W (nnodely.layers.fir.Fir attribute) (nnodely.layers.linear.Linear attribute) W_init (nnodely.layers.fir.Fir attribute) (nnodely.layers.linear.Linear attribute)

W_init_params (nnodely.layers.fir.Fir attribute) (nnodely.layers.linear.Linear attribute) weight_decay (nnodely.basic.optimizer.Adam attribute) (nnodely.basic.optimizer.SGD attribute) Wname (nnodely.layers.linear.Linear attribute)

Z

z() (nnodely.basic.relation.Stream method) (nnodely.layers.input.Input method)