Merge branch 'dev' of http://gitlab.pmf.kg.ac.rs/igrannonica/neuronstellar into dev

1 files changed, 79 insertions, 0 deletions

diff --git a/frontend/src/app/_elements/model-load/model-load.component.ts b/frontend/src/app/_elements/model-load/model-load.component.ts
new file mode 100644
index 00000000..1d38de68
--- /dev/null
+++ b/frontend/src/app/_elements/model-load/model-load.component.ts
@@ -0,0 +1,79 @@
+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;
+    }
+  }
+}