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Diffstat (limited to 'frontend/src/app/_data/Model.ts')
| -rw-r--r-- | frontend/src/app/_data/Model.ts | 7 |
1 files changed, 3 insertions, 4 deletions
diff --git a/frontend/src/app/_data/Model.ts b/frontend/src/app/_data/Model.ts index d1e89e84..cc25c91b 100644 --- a/frontend/src/app/_data/Model.ts +++ b/frontend/src/app/_data/Model.ts @@ -2,7 +2,6 @@ import { NgIf } from "@angular/common"; import { FolderFile } from "./FolderFile"; export default class Model extends FolderFile { - _id: string = ''; constructor( name: string = 'Novi model', public description: string = '', @@ -132,10 +131,10 @@ export enum LossFunction { MeanSquaredLogarithmicError = 'mean_squared_logarithmic_error', HuberLoss = 'Huber' } -export const LossFunctionRegression =[LossFunction.MeanAbsoluteError,LossFunction.MeanSquaredError,LossFunction.MeanSquaredLogarithmicError] -export const LossFunctionBinaryClassification=[LossFunction.BinaryCrossEntropy,LossFunction.SquaredHingeLoss,LossFunction.HingeLoss] +export const LossFunctionRegression = [LossFunction.MeanAbsoluteError, LossFunction.MeanSquaredError, LossFunction.MeanSquaredLogarithmicError] +export const LossFunctionBinaryClassification = [LossFunction.BinaryCrossEntropy, LossFunction.SquaredHingeLoss, LossFunction.HingeLoss] -export const LossFunctionMultiClassification=[LossFunction.CategoricalCrossEntropy,LossFunction.SparseCategoricalCrossEntropy,LossFunction.KLDivergence] +export const LossFunctionMultiClassification = [LossFunction.CategoricalCrossEntropy, LossFunction.SparseCategoricalCrossEntropy, LossFunction.KLDivergence] export enum Optimizer { Adam = 'Adam', |