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author | Ivan Ljubisavljevic <ivan996sk@gmail.com> | 2022-04-28 01:11:52 +0200 |
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committer | Ivan Ljubisavljevic <ivan996sk@gmail.com> | 2022-04-28 01:11:52 +0200 |
commit | 877f1561190ce0964ab1689b5ae563edcc6a2df5 (patch) | |
tree | 0ae2cef03ad7287dd6d1863498575bfa750c93e2 /frontend/src/app/_elements/form-model/form-model.component.ts | |
parent | b687d25e0d94992aca66d7e322643cda705db7c1 (diff) | |
parent | 96eae581ca377a940f39d1908a4b5661ccb7c223 (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(); + } + } + + + } |