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authorSonja Galovic <galovicsonja@gmail.com>2022-04-19 19:51:54 +0200
committerSonja Galovic <galovicsonja@gmail.com>2022-04-19 19:51:54 +0200
commitf21885e7cbb68ef444ff9efc27483e2036e26bb0 (patch)
tree1e2ad55e7c93ac41914518da6f8b765be615e1bb /frontend/src/app/_data
parent57d9a0b2d52d736e76025637febbb5dd3b65dc92 (diff)
Pravljenje modela: automatski selektovan tip problema kog je i taj eskperiment, zmenjen batch size. Izbaceni neki resetovi u experiment.comp. Backend: u klasu Experiment dodat properti type.
Diffstat (limited to 'frontend/src/app/_data')
-rw-r--r--frontend/src/app/_data/Model.ts4
1 files changed, 2 insertions, 2 deletions
diff --git a/frontend/src/app/_data/Model.ts b/frontend/src/app/_data/Model.ts
index b273f56a..7d383584 100644
--- a/frontend/src/app/_data/Model.ts
+++ b/frontend/src/app/_data/Model.ts
@@ -16,7 +16,7 @@ export default class Model {
public inputNeurons: number = 1,
public hiddenLayerNeurons: number = 1,
public hiddenLayers: number = 1,
- public batchSize: number = 5,
+ public batchSize: number = 4,
public hiddenLayerActivationFunctions: string[] = ['sigmoid'],
public outputLayerActivationFunction: ActivationFunction = ActivationFunction.Sigmoid,
public uploaderId: string = '',
@@ -94,7 +94,7 @@ export enum LossFunctionBinaryClassification {
HingeLoss = 'hinge_loss',
}
export enum LossFunctionMultiClassification {
- CategoricalCrossEntropy = 'categorical_crossentropy',
+ //CategoricalCrossEntropy = 'categorical_crossentropy',
SparseCategoricalCrossEntropy = 'sparse_categorical_crossentropy',
KLDivergence = 'kullback_leibler_divergence',
}