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author | Sonja Galovic <galovicsonja@gmail.com> | 2022-04-28 14:23:12 +0200 |
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committer | Sonja Galovic <galovicsonja@gmail.com> | 2022-04-28 14:23:12 +0200 |
commit | 0d3739e71f969f429cb1e036d0b57ad1b52658e1 (patch) | |
tree | 38867731e5671c2ab3e8cfefdf5115c6adf58904 /frontend/src/app/_elements/form-model/form-model.component.ts | |
parent | adbd70386b4fa13c940eed643cd1b252b5243051 (diff) | |
parent | 6eb541aa0cf268c41bf8638b73bf764d717be80b (diff) |
Merge branch 'redesign' of http://gitlab.pmf.kg.ac.rs/igrannonica/neuronstellar into redesign
Diffstat (limited to 'frontend/src/app/_elements/form-model/form-model.component.ts')
-rw-r--r-- | frontend/src/app/_elements/form-model/form-model.component.ts | 39 |
1 files changed, 37 insertions, 2 deletions
diff --git a/frontend/src/app/_elements/form-model/form-model.component.ts b/frontend/src/app/_elements/form-model/form-model.component.ts index c29fd0bb..062c380e 100644 --- a/frontend/src/app/_elements/form-model/form-model.component.ts +++ b/frontend/src/app/_elements/form-model/form-model.component.ts @@ -4,8 +4,7 @@ import Shared from 'src/app/Shared'; import Experiment from 'src/app/_data/Experiment'; import Model, { Layer, ActivationFunction, LossFunction, LearningRate, LossFunctionBinaryClassification, LossFunctionMultiClassification, LossFunctionRegression, Metrics, MetricsBinaryClassification, MetricsMultiClassification, MetricsRegression, NullValueOptions, Optimizer, ProblemType, Regularisation, RegularisationRate, BatchSize } from 'src/app/_data/Model'; import { GraphComponent } from '../graph/graph.component'; -import { FormGroupDirective, NgForm } from '@angular/forms'; -import { ErrorStateMatcher } from '@angular/material/core'; + @Component({ selector: 'app-form-model', @@ -104,4 +103,40 @@ export class FormModelComponent implements AfterViewInit { this.updateGraph(); } } + selectedActivation: ActivationFunction = ActivationFunction.Sigmoid; + selectedRegularisationRate: RegularisationRate = RegularisationRate.RR1; + selectedRegularisation: Regularisation = Regularisation.L1; + selectedNumberOfNeurons:number=1; + + changeAllActivation(){ + for(let i=0;i<this.newModel.layers.length;i++) + { + this.newModel.layers[i].activationFunction=this.selectedActivation; + + } + + } + changeAllRegularisation(){ + for(let i=0;i<this.newModel.layers.length;i++) + { + this.newModel.layers[i].regularisation=this.selectedRegularisation; + } + } + changeAllRegularisationRate(){ + + for(let i=0;i<this.newModel.layers.length;i++) + { + this.newModel.layers[i].regularisationRate=this.selectedRegularisationRate; + } + } + changeAllNumberOfNeurons(){ + for(let i=0;i<this.newModel.layers.length;i++) + { + this.newModel.layers[i].neurons=this.selectedNumberOfNeurons; + this.updateGraph(); + } + } + + + } |