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import { Component, OnInit, Input, ViewChild, Output, EventEmitter, AfterViewInit } from '@angular/core';
import { FormControl, Validators } from '@angular/forms';
import Shared from 'src/app/Shared';
import Experiment from 'src/app/_data/Experiment';
import Model, { Layer, ActivationFunction, LossFunction, LearningRate, LossFunctionBinaryClassification, LossFunctionMultiClassification, LossFunctionRegression, Metrics, MetricsBinaryClassification, MetricsMultiClassification, MetricsRegression, NullValueOptions, Optimizer, ProblemType, Regularisation, RegularisationRate, BatchSize } from 'src/app/_data/Model';
import { GraphComponent } from '../graph/graph.component';
import { FormGroupDirective, NgForm } from '@angular/forms';
import { ErrorStateMatcher } from '@angular/material/core';
@Component({
selector: 'app-form-model',
templateUrl: './form-model.component.html',
styleUrls: ['./form-model.component.css']
})
export class FormModelComponent implements AfterViewInit {
@ViewChild(GraphComponent) graph!: GraphComponent;
@Input() forExperiment?: Experiment;
@Output() selectedModelChangeEvent = new EventEmitter<Model>();
constructor() { }
ngAfterViewInit(): void {
}
selectFormControl = new FormControl('', Validators.required);
nameFormControl = new FormControl('', [Validators.required, Validators.email]);
selectTypeFormControl = new FormControl('', Validators.required);
selectOptFormControl = new FormControl('', Validators.required);
selectLFFormControl = new FormControl('', Validators.required);
selectLRFormControl = new FormControl('', Validators.required);
selectEpochFormControl = new FormControl('', Validators.required);
selectAFFormControl = new FormControl('', Validators.required);
selectBSFormControl = new FormControl('', Validators.required);
selectActivationFormControl = new FormControl('', Validators.required);
selectRegularisationFormControl = new FormControl('', Validators.required);
selectRRateFormControl = new FormControl('', Validators.required);
newModel: Model = new Model();
myModels?: Model[];
selectedModel?: Model;
ProblemType = ProblemType;
ActivationFunction = ActivationFunction;
RegularisationRate = RegularisationRate;
Regularisation = Regularisation;
metrics: any = Metrics;
LossFunction = LossFunction;
Optimizer = Optimizer;
BatchSize = BatchSize;
Object = Object;
document = document;
shared = Shared;
LearningRate = LearningRate;
Layer = Layer;
term: string = "";
selectedMetrics = [];
lossFunction: any = LossFunction;
showMyModels: boolean = true;
updateGraph() {
console.log(this.newModel.layers);
this.graph.update();
}
removeLayer() {
if (this.newModel.hiddenLayers > 1) {
this.newModel.layers.splice(this.newModel.layers.length - 1, 1);
this.newModel.hiddenLayers -= 1;
this.updateGraph();
}
}
addLayer() {
if (this.newModel.hiddenLayers < 128) {
this.newModel.layers.push(new Layer(this.newModel.layers.length));
this.newModel.hiddenLayers += 1;
this.updateGraph();
}
}
/*
setNeurons()
{
for(let i=0;i<this.newModel.hiddenLayers;i++){
this.newModel.hiddenLayerNeurons[i]=1;
}
}*/
numSequence(n: number): Array<number> {
return Array(n);
}
removeNeuron(index: number) {
if (this.newModel.layers[index].neurons > 1) {
this.newModel.layers[index].neurons -= 1;
this.updateGraph();
}
}
addNeuron(index: number) {
if (this.newModel.layers[index].neurons < 100) {
this.newModel.layers[index].neurons += 1;
this.updateGraph();
}
}
}
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