diff options
Diffstat (limited to 'frontend/src/app/_pages/add-model/add-model.component.ts')
| -rw-r--r-- | frontend/src/app/_pages/add-model/add-model.component.ts | 508 |
1 files changed, 0 insertions, 508 deletions
diff --git a/frontend/src/app/_pages/add-model/add-model.component.ts b/frontend/src/app/_pages/add-model/add-model.component.ts deleted file mode 100644 index 192fc6ff..00000000 --- a/frontend/src/app/_pages/add-model/add-model.component.ts +++ /dev/null @@ -1,508 +0,0 @@ -import { Component, OnInit, ViewChild } from '@angular/core'; -import Model, { LossFunctionBinaryClassification, LossFunctionMultiClassification, LossFunctionRegression, NullValReplacer, ReplaceWith } from 'src/app/_data/Model'; -import { ProblemType, Encoding, ActivationFunction, LossFunction, Optimizer, NullValueOptions, Metrics, MetricsRegression, MetricsBinaryClassification, MetricsMultiClassification } 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'; -import Dataset from 'src/app/_data/Dataset'; -import { DatasetsService } from 'src/app/_services/datasets.service'; -import { CsvParseService } from 'src/app/_services/csv-parse.service'; - - -@Component({ - selector: 'app-add-model', - templateUrl: './add-model.component.html', - styleUrls: ['./add-model.component.css'] -}) -export class AddModelComponent implements OnInit { - - newModel: Model; - - ProblemType = ProblemType; - Encoding = Encoding; - ActivationFunction = ActivationFunction; - metrics: any = Metrics; - LossFunction = LossFunction; - lossFunction: any = LossFunction; - Optimizer = Optimizer; - NullValueOptions = NullValueOptions; - ReplaceWith = ReplaceWith; - Object = Object; - document = document; - shared = shared; - - selectedOutputColumnVal: string = ''; - - showMyDatasets: boolean = true; - myDatasets?: Dataset[]; - existingDatasetSelected: boolean = false; - selectedDataset?: Dataset; - otherDataset?: Dataset; - otherDatasetFile?: any[]; - datasetFile?: any[]; - datasetHasHeader?: boolean = true; - - tempTestSetDistribution: number = 90; - - //accepted: Boolean; - term: string = ""; - - selectedProblemType: string = ''; - selectedMetrics = []; - - trainingResult: string | undefined; - - constructor(private models: ModelsService, private datasets: DatasetsService, private csv: CsvParseService) { - this.newModel = new Model(); - - this.datasets.getMyDatasets().subscribe((datasets) => { - this.myDatasets = datasets; - }); - } - - ngOnInit(): void { - (<HTMLInputElement>document.getElementById("btnMyDataset")).focus(); - } - - datasetHasChanged(selectedDataset: Dataset) { - this.selectedDataset = selectedDataset; - this.resetCbsAndRbs(); - this.refreshThreeNullValueRadioOptions(); - } - - /*viewMyDatasetsForm() { - this.showMyDatasets = true; - this.resetSelectedDataset(); - //this.datasetLoaded = false; - this.resetCbsAndRbs(); - } - viewNewDatasetForm() { - this.showMyDatasets = false; - this.resetSelectedDataset(); - this.resetCbsAndRbs(); - }*/ - - addModel() { - if (!this.showMyDatasets) - this.saveModelWithNewDataset(_ => { console.log('MODEL ADDED (with new dataset).') }); - else - this.saveModelWithExistingDataset(_ => { console.log('MODEL ADDED (with existing dataset).') }); - } - - trainModel() { - let saveFunc; - this.trainingResult = undefined; - - if (!this.showMyDatasets) - saveFunc = (x: (arg0: any) => void) => { this.saveModelWithNewDataset(x) }; - else - saveFunc = (x: (arg0: any) => void) => { this.saveModelWithExistingDataset(x) }; - - saveFunc(((model: any) => { - console.log('Saved, training model...', model); - this.models.trainModel(model).subscribe(response => { - console.log('Train model complete!', response); - this.trainingResult = response; - }); - })); //privremeno cuvanje modela => vraca id sacuvanog modela koji cemo da treniramo sad - } - - saveModelWithNewDataset(callback: ((arg0: any) => void)) { - - this.getCheckedInputCols(); - this.getCheckedOutputCol(); - this.getMetrics(); - - if (this.validationInputsOutput()) { - console.log('ADD MODEL: STEP 1 - UPLOAD FILE'); - if (this.selectedDataset) { - //console.log("this.datasetLoadComponent.files:", this.datasetLoadComponent.files); - /*this.models.uploadData(this.datasetLoadComponent.files[0]).subscribe((file) => { ZAKOMENTARISANO ZBOG KOMPAJLERSKE GRESKE TOKOM REORGANIZACIJE - console.log('ADD MODEL: STEP 2 - ADD DATASET WITH FILE ID ' + file._id); - if (this.selectedDataset) { - this.selectedDataset!.fileId = file._id; - this.selectedDataset!.username = shared.username; - - this.datasets.addDataset(this.selectedDataset!).subscribe((dataset) => { - console.log('ADD MODEL: STEP 3 - ADD MODEL WITH DATASET ID ', dataset._id); - this.newModel.datasetId = dataset._id; - - //da se doda taj dataset u listu postojecih, da bude izabran - this.refreshMyDatasetList(); MORA OVO - this.showMyDatasets = true; - this.selectThisDataset(dataset); - - this.newModel.randomTestSetDistribution = 1 - Math.round(this.tempTestSetDistribution / 100 * 10) / 10; - this.tempTestSetDistribution = 90; - this.newModel.username = shared.username; - - this.newModel.nullValuesReplacers = this.getNullValuesReplacersArray(); - - this.models.addModel(this.newModel).subscribe((response) => { - callback(response); - }, (error) => { - shared.openDialog("Neuspeo pokušaj!", "Model sa unetim nazivom već postoji u Vašoj kolekciji. Promenite naziv modela i nastavite sa kreiranim datasetom."); - }); //kraj addModel subscribe - }, (error) => { - shared.openDialog("Neuspeo pokušaj!", "Dataset sa unetim nazivom već postoji u Vašoj kolekciji. Izmenite naziv ili iskoristite postojeći dataset."); - }); //kraj addDataset subscribe - } //kraj treceg ifa - }, (error) => { - - }); //kraj uploadData subscribe*/ - - } //kraj drugog ifa - } //kraj prvog ifa - } - - saveModelWithExistingDataset(callback: ((arg0: any) => void)): any { - if (this.selectedDataset) { //dataset je izabran - this.getCheckedInputCols(); - this.getCheckedOutputCol(); - this.getMetrics(); - if (this.validationInputsOutput()) { - this.newModel.datasetId = this.selectedDataset._id; - - this.newModel.randomTestSetDistribution = 1 - Math.round(this.tempTestSetDistribution / 100 * 10) / 10; - this.tempTestSetDistribution = 90; - this.newModel.username = shared.username; - - this.newModel.nullValuesReplacers = this.getNullValuesReplacersArray(); - - this.models.addModel(this.newModel).subscribe((response) => { - callback(response); - }, (error) => { - shared.openDialog("Neuspeo pokušaj!", "Model sa unetim nazivom već postoji u Vašoj kolekciji. Promenite naziv modela i nastavite sa kreiranim datasetom."); - }); - } - } - else { - shared.openDialog("Obaveštenje", "Molimo Vas da izaberete neki dataset iz kolekcije."); - } - } - - getCheckedInputCols() { - this.newModel.inputColumns = []; - let checkboxes: any; - - checkboxes = document.getElementsByName("cbsNew"); - - for (let i = 0; i < checkboxes.length; i++) { - let thatCb = <HTMLInputElement>checkboxes[i]; - if (thatCb.checked == true) // && thatCb.disabled == false ne treba nam ovo vise - this.newModel.inputColumns.push(thatCb.value); - } - //console.log(this.checkedInputCols); - } - getCheckedOutputCol() { - this.newModel.columnToPredict = ''; - let radiobuttons: any; - - radiobuttons = document.getElementsByName("rbsNew"); - - 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 && this.newModel.columnToPredict == '') { - shared.openDialog("Neuspeo pokušaj!", "Molimo Vas da izaberete ulazne i izlazne kolone za mrežu."); - return false; - } - else if (this.newModel.inputColumns.length == 0) { - shared.openDialog("Neuspeo pokušaj!", "Molimo Vas da izaberete ulaznu kolonu/kolone za mrežu."); - return false; - } - else if (this.newModel.columnToPredict == '') { - shared.openDialog("Neuspeo pokušaj!", "Molimo Vas da izaberete izlaznu kolonu 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; - shared.openDialog("Neuspeo pokušaj!", "Izabrali ste istu kolonu (" + colName + ") kao ulaznu i izlaznu iz mreže. Korigujte izbor."); - return false; - } - } - return true; - } - - /*selectThisDataset(dataset: Dataset) { - this.selectedDataset = dataset; - //this.selectedDatasetLoaded = false; - this.existingDatasetSelected = true; - this.datasetHasHeader = this.selectedDataset.hasHeader; - - this.datasets.getDatasetFile(dataset.fileId).subscribe((file: string | undefined) => { - if (file) { - this.datasetFile = this.csv.csvToArray(file, (dataset.delimiter == "razmak") ? " " : (dataset.delimiter == "") ? "," : dataset.delimiter); - //for (let i = this.datasetFile.length - 1; i >= 0; i--) { //moguce da je vise redova na kraju fajla prazno i sl. - //if (this.datasetFile[i].length != this.datasetFile[0].length) - //this.datasetFile[i].pop(); - //else - // break; //nema potrebe dalje - //} - //console.log(this.datasetFile); - this.resetCbsAndRbs(); - this.refreshThreeNullValueRadioOptions(); - //this.selectedDatasetLoaded = true; - this.scrollToNextForm(); - } - }); - //this.datasetHasHeader = false; - }*/ - - scrollToNextForm() { - (<HTMLSelectElement>document.getElementById("selectInAndOuts")).scrollIntoView({ - behavior: "smooth", - block: "start", - inline: "nearest" - }); - } - - /*resetSelectedDataset(): boolean { - const temp = this.selectedDataset; - this.selectedDataset = this.otherDataset; - this.otherDataset = temp; - const tempFile = this.datasetFile; - this.datasetFile = this.otherDatasetFile; - this.otherDatasetFile = tempFile; - return true; - }*/ - resetCbsAndRbs(): boolean { - this.uncheckRbs(); - this.checkAllCbs(); - return true; - } - checkAllCbs() { - let checkboxes: any; - - checkboxes = document.getElementsByName("cbsNew"); - for (let i = 0; i < checkboxes.length; i++) { - (<HTMLInputElement>checkboxes[i]).checked = true; - (<HTMLInputElement>checkboxes[i]).disabled = false; - } - } - uncheckRbs() { - this.selectedOutputColumnVal = ''; - let radiobuttons: any; - - radiobuttons = document.getElementsByName("rbsNew"); - for (let i = 0; i < radiobuttons.length; i++) - (<HTMLInputElement>radiobuttons[i]).checked = false; - } - - refreshMyDatasetList() { - this.datasets.getMyDatasets().subscribe((datasets) => { - this.myDatasets = datasets; - }); - } - - refreshThreeNullValueRadioOptions() { - this.newModel.nullValues = NullValueOptions.DeleteRows; - } - - isChecked(someId: string) { //proveri ako je element sa datim ID-em cek - return (<HTMLInputElement>document.getElementById(someId)).checked; - } - - isNumber(value: string | number): boolean { - return ((value != null) && - (value !== '') && - !isNaN(Number(value.toString()))); - } - - findColIndexByName(colName: string): number { - if (this.datasetFile) - for (let i = 0; i < this.datasetFile[0].length; i++) - if (colName === this.datasetFile[0][i]) - return i; - return -1; - } - findColNameByIndex(index: number): string { - if (this.datasetFile) - if (this.datasetHasHeader && index < this.datasetFile[0].length) - return this.datasetFile[0][index]; - return ''; - } - emptyFillTextInput(colName: string) { - (<HTMLInputElement>document.getElementById("fillText_" + colName)).value = ""; - } - - checkFillColRadio(colName: string) { - (<HTMLInputElement>document.getElementById("fillCol_" + colName)).checked = true; - } - calculateSumOfNullValuesInCol(colName: string): number { - //console.log(this.datasetFile); - if (this.datasetFile) { - let colIndex = this.findColIndexByName(colName); - let sumOfNulls = 0; - - let startValue = (this.selectedDataset!.hasHeader) ? 1 : 0; - for (let i = startValue; i < this.datasetFile.length; i++) { - if (this.datasetFile[i][colIndex] == "" || this.datasetFile[i][colIndex] == undefined) - ++sumOfNulls; - } - return sumOfNulls; - } - return -1; - } - calculateMeanColValue(colName: string): number { - if (this.datasetFile) { - let colIndex = this.findColIndexByName(colName); - let sum = 0; - let n = 0; - - let startValue = (this.selectedDataset!.hasHeader) ? 1 : 0; - for (let i = startValue; i < this.datasetFile.length; i++) - if (this.datasetFile[i][colIndex] != '') { - sum += Number(this.datasetFile[i][colIndex]); - ++n; - } - console.log(sum / n); - return (sum != 0) ? (sum / n) : 0; - } - return 0; - } - calculateMedianColValue(colName: string): number { - if (this.datasetFile) { - let array = []; - let colIndex = this.findColIndexByName(colName); - - let startValue = (this.datasetHasHeader) ? 1 : 0; - for (let i = startValue; i < this.datasetFile.length; i++) - if (this.datasetFile[i][colIndex] != '') - array.push(Number(this.datasetFile[i][colIndex])); - - array.sort(); - if (array.length % 2 == 0) - return array[array.length / 2 - 1] / 2; - else - return array[(array.length - 1) / 2]; - } - return 0; - } - replaceWithSelectedString(event: Event) { - let value = (<HTMLInputElement>event.target).value; - let colIndex = Number(((<HTMLSelectElement>event.target).id).split("replaceOptions")[1]); - let colName = this.findColNameByIndex(colIndex); - - (<HTMLInputElement>document.getElementById("fillCol_" + colName)).checked = true; - - if (!this.datasetHasHeader) - (<HTMLInputElement>document.getElementById("fillText_" + colName)).value = value; - else { - if (value == colName) - (<HTMLInputElement>document.getElementById("fillText_" + colName)).value = ""; - else - (<HTMLInputElement>document.getElementById("fillText_" + colName)).value = value; - } - } - replaceWithSelectedNumber(event: Event) { - let option = (<HTMLInputElement>event.target).value; - let colIndex = Number(((<HTMLSelectElement>event.target).id).split("replaceOptions")[1]); - let colName = this.findColNameByIndex(colIndex); - - (<HTMLInputElement>document.getElementById("fillCol_" + colName)).checked = true; - - if (option == ReplaceWith.Mean) - (<HTMLInputElement>document.getElementById("fillText_" + colName)).value = this.calculateMeanColValue(colName).toString(); - else if (option == ReplaceWith.Median) - (<HTMLInputElement>document.getElementById("fillText_" + colName)).value = this.calculateMedianColValue(colName).toString(); - else if (option == ReplaceWith.None) - (<HTMLInputElement>document.getElementById("fillText_" + colName)).value = ""; - } - - - getNullValuesReplacersArray(): NullValReplacer[] { - let array: NullValReplacer[] = []; - - if (this.datasetFile) { - - if (this.newModel.nullValues == NullValueOptions.Replace) { - - for (let i = 0; i < this.datasetFile[0].length; i++) { - let column = this.datasetFile[0][i]; - - if (this.calculateSumOfNullValuesInCol(column) > 0) { //ako kolona nema null vrednosti, ne dodajemo je u niz - if ((<HTMLInputElement>document.getElementById("delCol_" + column)).checked) { - array.push({ - column: column, - option: NullValueOptions.DeleteColumns, - value: "" - }); - } - else if ((<HTMLInputElement>document.getElementById("delRows_" + column)).checked) { - array.push({ - column: column, - option: NullValueOptions.DeleteRows, - value: "" - }); - } - else if (((<HTMLInputElement>document.getElementById("fillCol_" + column)).checked)) { - array.push({ - column: column, - option: NullValueOptions.Replace, - value: (<HTMLInputElement>document.getElementById("fillText_" + column)).value - }); - } - } - } - } - } - //console.log(array); - return array; - } - - getInputById(id: string): HTMLInputElement { - return document.getElementById(id) as HTMLInputElement; - } - - arrayColumn = (arr: any[][], n: number) => [...this.dropEmptyString(new Set(arr.map(x => x[n])))]; - - dropEmptyString(set: Set<any>): Set<string> { - if (set.has("")) - set.delete(""); - if (set.has(null)) - set.delete(null); - if (set.has(undefined)) - set.delete(undefined); - return set; - } - - 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; - } - } - - 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); - } - - } -} |