blob: a4cabb8274c73ddaf90234105ae99c7de887064e (
plain) (
blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
|
import { Component, OnInit, ViewChild } from '@angular/core';
import { Observable, of } from 'rxjs';
import Model from 'src/app/_data/Model';
import { ANNType, Encoding, ActivationFunction, LossFunction, Optimizer } from 'src/app/_data/Model';
import { DatasetLoadComponent } from 'src/app/_elements/dataset-load/dataset-load.component';
import { ModelsService } from 'src/app/_services/models.service';
import shared from 'src/app/Shared';
@Component({
selector: 'app-add-model',
templateUrl: './add-model.component.html',
styleUrls: ['./add-model.component.css']
})
export class AddModelComponent implements OnInit {
@ViewChild(DatasetLoadComponent) datasetLoadComponent?: DatasetLoadComponent;
datasetLoaded: boolean = false;
newModel: Model;
ANNType = ANNType;
Encoding = Encoding;
ActivationFunction = ActivationFunction;
LossFunction = LossFunction;
Optimizer = Optimizer;
Object = Object;
shared = shared;
constructor(private models: ModelsService) {
this.newModel = new Model();
}
ngOnInit(): void {
}
addModel() {
this.saveModel(false); //trajno cuvanje
}
trainModel() {
this.saveModel(true).subscribe((modelId: any) => {
if (modelId)
this.models.trainModel(modelId);
}); //privremeno cuvanje modela => vraca id sacuvanog modela koji cemo da treniramo sad
}
saveModel(temporary: boolean): any {
this.getCheckedInputCols();
this.getCheckedOutputCol();
if (this.validationInputsOutput()) {
console.log('ADD MODEL: STEP 1 - UPLOAD FILE');
if (this.datasetLoadComponent) {
this.models.uploadData(this.datasetLoadComponent.files[0]).subscribe((file) => {
console.log('ADD MODEL: STEP 2 - ADD DATASET WITH FILE ID ' + file._id);
if (this.datasetLoadComponent) {
this.datasetLoadComponent.dataset.fileId = file._id;
this.datasetLoadComponent.dataset.username = shared.username;
this.models.addDataset(this.datasetLoadComponent.dataset).subscribe((dataset) => {
console.log('ADD MODEL: STEP 3 - ADD MODEL WITH DATASET ID ', dataset._id);
this.newModel.datasetId = dataset._id;
this.newModel.username = shared.username;
this.models.addModel(this.newModel).subscribe((response) => {
console.log('ADD MODEL: DONE! REPLY:\n', response);
});
});
}
});
}
}
}
getCheckedInputCols() {
this.newModel.inputColumns = [];
let checkboxes = document.getElementsByName("cbs");
for (let i = 0; i < checkboxes.length; i++) {
let thatCb = <HTMLInputElement>checkboxes[i];
if (thatCb.checked)
this.newModel.inputColumns.push(thatCb.value);
}
//console.log(this.checkedInputCols);
}
getCheckedOutputCol() {
this.newModel.columnToPredict = '';
let radiobuttons = document.getElementsByName("rbs");
for (let i = 0; i < radiobuttons.length; i++) {
let thatRb = <HTMLInputElement>radiobuttons[i];
if (thatRb.checked) {
this.newModel.columnToPredict = thatRb.value;
break;
}
}
//console.log(this.checkedOutputCol);
}
validationInputsOutput(): boolean {
if (this.newModel.inputColumns.length == 0) {
alert("Molimo Vas da izaberete ulaznu kolonu/kolone za mrežu.")
return false;
}
for (let i = 0; i < this.newModel.inputColumns.length; i++) {
if (this.newModel.inputColumns[i] == this.newModel.columnToPredict) {
let colName = this.newModel.columnToPredict;
alert("Izabrali ste istu kolonu (" + colName + ") kao ulaznu i izlaznu iz mreže. Korigujte izbor.");
return false;
}
}
return true;
}
}
|
