From 2fcd4358c32ea8d62343f137651ef80b15e3d433 Mon Sep 17 00:00:00 2001
From: Sonja Galovic <galovicsonja@gmail.com>
Date: Thu, 5 May 2022 00:03:26 +0200
Subject: ColumnTypes pomeren iz Dataset klase u Experiment klasu.

---
 .../app/_elements/column-table/column-table.component.html   | 10 +++++-----
 .../src/app/_elements/column-table/column-table.component.ts | 12 ++++++------
 2 files changed, 11 insertions(+), 11 deletions(-)

(limited to 'frontend/src/app/_elements')

diff --git a/frontend/src/app/_elements/column-table/column-table.component.html b/frontend/src/app/_elements/column-table/column-table.component.html
index 09ddffc6..efc093d2 100644
--- a/frontend/src/app/_elements/column-table/column-table.component.html
+++ b/frontend/src/app/_elements/column-table/column-table.component.html
@@ -103,7 +103,7 @@
                             <td *ngFor="let colInfo of dataset.columnInfo; let i = index" class="pad-fix" [ngClass]="{'text-disabled' : !columnsChecked[i]}">
                                 <p class="verticalAlign text-left" style="font-size:13px;" *ngIf="!colInfo.isNumber">Kategorijski</p>
                                 <mat-form-field *ngIf="colInfo.isNumber">
-                                    <mat-select matNativeControl [(value)]="colInfo.columnType" [disabled]="!columnsChecked[i]" (selectionChange)="columnTypeChanged(colInfo.columnName);">
+                                    <mat-select matNativeControl [(value)]="this.experiment.columnTypes[i]" [disabled]="!columnsChecked[i]" (selectionChange)="columnTypeChanged(colInfo.columnName);">
                                         <mat-option [value]="ColumnType.categorical">Kategorijski</mat-option>
                                         <mat-option [value]="ColumnType.numerical">Numerički</mat-option>
                                     </mat-select>
@@ -113,14 +113,14 @@
                         <tr class="graphics-row">
                             <th class="no-pad">Grafik</th>
                             <td class="no-pad" *ngFor="let colInfo of dataset.columnInfo; let i = index" [ngClass]="{'graphic-class' : !columnsChecked[i]}">
-                                <app-box-plot *ngIf="colInfo.columnType == ColumnType.numerical" [width]="150" [height]="150"></app-box-plot>
-                                <app-pie-chart *ngIf="colInfo.columnType == ColumnType.categorical" [width]="150" [height]="150"></app-pie-chart>
+                                <app-box-plot *ngIf="this.experiment.columnTypes[i] == ColumnType.numerical" [width]="150" [height]="150"></app-box-plot>
+                                <app-pie-chart *ngIf="this.experiment.columnTypes[i] == ColumnType.categorical" [width]="150" [height]="150"></app-pie-chart>
                             </td>
                         </tr>
                         <tr>
                             <th class="border-bottom">Statistika</th>
                             <td *ngFor="let colInfo of dataset.columnInfo; let i = index" [ngClass]="{'text-disabled' : !columnsChecked[i]}" class="text-left">
-                                <span *ngIf="colInfo.columnType == ColumnType.numerical">
+                                <span *ngIf="this.experiment.columnTypes[i] == ColumnType.numerical">
                                 Mean: {{colInfo.mean}}<br>
                                 Median: {{colInfo.median}}<br>
                                 Min: {{colInfo.min}}<br>
@@ -128,7 +128,7 @@
                                 Q1: {{colInfo.q1}}<br>
                                 Q3: {{colInfo.q3}}<br>
                             </span>
-                                <div class="text-overflow" *ngIf="colInfo.columnType == ColumnType.categorical && colInfo.uniqueValuesPercent">
+                                <div class="text-overflow" *ngIf="this.experiment.columnTypes[i] == ColumnType.categorical && colInfo.uniqueValuesPercent">
                                     <span *ngFor="let uniqueValue of colInfo.uniqueValues | slice:0:6; let i = index">
                                     ({{(colInfo.uniqueValuesPercent[i] * 100).toFixed(2)}}%) {{uniqueValue}}<br>
                                 </span>
diff --git a/frontend/src/app/_elements/column-table/column-table.component.ts b/frontend/src/app/_elements/column-table/column-table.component.ts
index b99a3be0..c200e674 100644
--- a/frontend/src/app/_elements/column-table/column-table.component.ts
+++ b/frontend/src/app/_elements/column-table/column-table.component.ts
@@ -1,6 +1,6 @@
 import { AfterViewInit, Component, ElementRef, EventEmitter, Input, OnInit, Output, ViewChildren } from '@angular/core';
-import Dataset, { ColumnType } from 'src/app/_data/Dataset';
-import Experiment, { ColumnEncoding, Encoding, NullValReplacer, NullValueOptions } from 'src/app/_data/Experiment';
+import Dataset from 'src/app/_data/Dataset';
+import Experiment, { ColumnEncoding, Encoding, ColumnType, NullValueOptions } from 'src/app/_data/Experiment';
 import { DatasetsService } from 'src/app/_services/datasets.service';
 import { EncodingDialogComponent } from 'src/app/_modals/encoding-dialog/encoding-dialog.component';
 import { MatDialog } from '@angular/material/dialog';
@@ -75,7 +75,7 @@ export class ColumnTableComponent implements AfterViewInit {
   setColumnTypeInitial() {
     if (this.dataset != undefined) {
       for (let i = 0; i < this.dataset.columnInfo.length; i++) {
-        this.dataset.columnInfo[i].columnType = (this.dataset.columnInfo[i].isNumber) ? ColumnType.numerical : ColumnType.categorical;
+        this.experiment.columnTypes[i] = (this.dataset.columnInfo[i].isNumber) ? ColumnType.numerical : ColumnType.categorical;
       }
     }
   }
@@ -140,12 +140,12 @@ export class ColumnTableComponent implements AfterViewInit {
 
   changeOutputColumn(columnName: string) {
     if (this.experiment != undefined && this.dataset != undefined) {
-      let column = this.dataset.columnInfo.filter(x => x.columnName == this.experiment!.outputColumn)[0];
-      if (column.columnType == ColumnType.numerical) {
+      let i = this.dataset.columnInfo.findIndex(x => x.columnName == this.experiment!.outputColumn);
+      if (this.experiment.columnTypes[i] == ColumnType.numerical) {
         this.experiment.type = ProblemType.Regression;
       }
       else {
-        if (column.uniqueValues!.length == 2)
+        if (this.dataset.columnInfo[i].uniqueValues!.length == 2)
           this.experiment.type = ProblemType.BinaryClassification;
         else
           this.experiment.type = ProblemType.MultiClassification;
-- 
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