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import { Component, OnInit } from '@angular/core';
import Shared from 'src/app/Shared';
import Model, { ActivationFunction, Encoding, LossFunction, LossFunctionBinaryClassification, LossFunctionMultiClassification, LossFunctionRegression, Metrics, MetricsBinaryClassification, MetricsMultiClassification, MetricsRegression, NullValueOptions, Optimizer, ProblemType } from 'src/app/_data/Model';
import { ModelsService } from 'src/app/_services/models.service';
@Component({
selector: 'app-model-load',
templateUrl: './model-load.component.html',
styleUrls: ['./model-load.component.css']
})
export class ModelLoadComponent implements OnInit {
newModel: Model = new Model();
ProblemType = ProblemType;
Encoding = Encoding;
ActivationFunction = ActivationFunction;
metrics: any = Metrics;
LossFunction = LossFunction;
Optimizer = Optimizer;
Object = Object;
document = document;
shared = Shared;
term: string = "";
selectedProblemType: string = '';
selectedMetrics = [];
tempTestSetDistribution = 90;
lossFunction: any = LossFunction;
constructor(private models: ModelsService) { }
ngOnInit(): void {
}
getMetrics() {
this.newModel.metrics = [];
let cb = document.getElementsByName("cbmetrics");
for (let i = 0; i < cb.length; i++) {
let chb = <HTMLInputElement>cb[i];
if (chb.checked == true)
this.newModel.metrics.push(chb.value);
}
}
addModel() {
this.getMetrics();
this.newModel.randomTestSetDistribution = 1 - Math.round(this.tempTestSetDistribution / 100 * 10) / 10;
this.newModel.username = Shared.username;
this.models.addModel(this.newModel).subscribe((response) => {
Shared.openDialog('Model dodat', 'Model je uspešno dodat u bazu.');
// treba da se selektuje nov model u listi modela
}, (error) => {
Shared.openDialog('Greška', 'Model sa unetim nazivom već postoji u Vašoj kolekciji.\nPromenite naziv modela i nastavite sa kreiranim datasetom.');
});
}
filterOptions() {
switch (this.newModel.type) {
case 'regresioni':
this.lossFunction = LossFunctionRegression;
this.metrics = MetricsRegression;
break;
case 'binarni-klasifikacioni':
this.lossFunction = LossFunctionBinaryClassification;
this.metrics = MetricsBinaryClassification;
break;
case 'multi-klasifikacioni':
this.lossFunction = LossFunctionMultiClassification;
this.metrics = MetricsMultiClassification;
break;
default:
break;
}
}
}
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