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-rw-r--r--frontend/src/app/_elements/form-model/form-model.component.ts44
1 files changed, 20 insertions, 24 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 062c380e..e58d1764 100644
--- a/frontend/src/app/_elements/form-model/form-model.component.ts
+++ b/frontend/src/app/_elements/form-model/form-model.component.ts
@@ -60,7 +60,7 @@ export class FormModelComponent implements AfterViewInit {
showMyModels: boolean = true;
updateGraph() {
- console.log(this.newModel.layers);
+ //console.log(this.newModel.layers);
this.graph.update();
}
@@ -73,7 +73,7 @@ export class FormModelComponent implements AfterViewInit {
}
addLayer() {
if (this.newModel.hiddenLayers < 128) {
- this.newModel.layers.push(new Layer(this.newModel.layers.length));
+ this.newModel.layers.push(new Layer(this.newModel.layers.length, this.selectedActivation, this.selectedNumberOfNeurons, this.selectedRegularisation, this.selectedRegularisationRate));
this.newModel.hiddenLayers += 1;
this.updateGraph();
@@ -106,37 +106,33 @@ export class FormModelComponent implements AfterViewInit {
selectedActivation: ActivationFunction = ActivationFunction.Sigmoid;
selectedRegularisationRate: RegularisationRate = RegularisationRate.RR1;
selectedRegularisation: Regularisation = Regularisation.L1;
- selectedNumberOfNeurons:number=1;
+ selectedNumberOfNeurons: number = 3;
+
+ changeAllActivation() {
+ for (let i = 0; i < this.newModel.layers.length; i++) {
+ this.newModel.layers[i].activationFunction = this.selectedActivation;
- 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;
+ changeAllRegularisation() {
+ for (let i = 0; i < this.newModel.layers.length; i++) {
+ this.newModel.layers[i].regularisation = this.selectedRegularisation;
}
}
- changeAllRegularisationRate(){
+ changeAllRegularisationRate() {
- for(let i=0;i<this.newModel.layers.length;i++)
- {
- this.newModel.layers[i].regularisationRate=this.selectedRegularisationRate;
+ 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;
+ changeAllNumberOfNeurons() {
+ for (let i = 0; i < this.newModel.layers.length; i++) {
+ this.newModel.layers[i].neurons = this.selectedNumberOfNeurons;
this.updateGraph();
}
}
-
-
-
+
+
+
}