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-rw-r--r--frontend/src/app/_elements/form-model/form-model.component.html4
-rw-r--r--frontend/src/app/_elements/form-model/form-model.component.ts15
2 files changed, 17 insertions, 2 deletions
diff --git a/frontend/src/app/_elements/form-model/form-model.component.html b/frontend/src/app/_elements/form-model/form-model.component.html
index 8ec29a09..361e2545 100644
--- a/frontend/src/app/_elements/form-model/form-model.component.html
+++ b/frontend/src/app/_elements/form-model/form-model.component.html
@@ -11,7 +11,7 @@
<div class="ns-col">
<mat-form-field appearance="fill" class="mat-fix">
<mat-label>Tip problema</mat-label>
- <mat-select [(ngModel)]="newModel.type">
+ <mat-select [(ngModel)]="newModel.type" (selectionChange)="filterLossFunction()" disabled="true">
<mat-option *ngFor="let option of Object.keys(ProblemType); let optionName of Object.values(ProblemType)" [value]="option">
{{ optionName }}
</mat-option>
@@ -36,7 +36,7 @@
<mat-form-field appearance="fill" class="mat-fix">
<mat-label>Funkcija troška</mat-label>
<mat-select [(ngModel)]="newModel.lossFunction">
- <mat-option *ngFor="let option of Object.keys(LossFunction); let optionName of Object.values(LossFunction)" [value]="option">
+ <mat-option *ngFor="let option of Object.keys(lossFunction); let optionName of Object.values(lossFunction)" [value]="option">
{{ optionName }}
</mat-option>
</mat-select>
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 71b374b0..82fa0e95 100644
--- a/frontend/src/app/_elements/form-model/form-model.component.ts
+++ b/frontend/src/app/_elements/form-model/form-model.component.ts
@@ -135,4 +135,19 @@ export class FormModelComponent implements AfterViewInit {
updateTestSet(event: MatSliderChange) {
this.testSetDistribution = event.value!;
}
+
+ filterLossFunction() {
+ if(this.newModel.type==ProblemType.Regression){
+ this.lossFunction = LossFunctionRegression;
+ this.newModel.lossFunction=LossFunction.MeanSquaredError;
+ }
+ else if(this.newModel.type==ProblemType.BinaryClassification){
+ this.lossFunction= LossFunctionBinaryClassification;
+ this.newModel.lossFunction=LossFunction.BinaryCrossEntropy;
+ }
+ else if(this.newModel.type==ProblemType.MultiClassification){
+ this.lossFunction = LossFunctionMultiClassification;
+ this.newModel.lossFunction=LossFunction.SparseCategoricalCrossEntropy;
+ }
+ }
}