diff options
| author | Danijel Anđelković <adanijel99@gmail.com> | 2022-05-25 23:45:24 +0200 |
|---|---|---|
| committer | Danijel Anđelković <adanijel99@gmail.com> | 2022-05-25 23:45:24 +0200 |
| commit | 305dac6f0e327a2582dc4f93e83794b5169d7c8f (patch) | |
| tree | 00691935b0f33ed513f29ef11e1e8713b6b03f31 /backend/api | |
| parent | 54a1eaf3b2176a41dcd2677eb64843638852c371 (diff) | |
Popravio dosta bugova vezane za prebacivanje izmedju novog dataseta, i postojeceg dataseta, isto i za modele, u folderu. Popravio presporo prebacivanje sa jednog taba na drugi u folderu. Popravio pogresan tip stope normalizacije na backendu.
Diffstat (limited to 'backend/api')
| -rw-r--r-- | backend/api/api/Models/Model.cs | 4 | ||||
| -rw-r--r-- | backend/api/api/Services/FillAnEmptyDb.cs | 36 |
2 files changed, 20 insertions, 20 deletions
diff --git a/backend/api/api/Models/Model.cs b/backend/api/api/Models/Model.cs index bbbf201e..6278cf8a 100644 --- a/backend/api/api/Models/Model.cs +++ b/backend/api/api/Models/Model.cs @@ -44,7 +44,7 @@ namespace api.Models { - public Layer(int layerNumber, string activationFunction, int neurons, string regularisation, float regularisationRate) + public Layer(int layerNumber, string activationFunction, int neurons, string regularisation, string regularisationRate) { this.layerNumber = layerNumber; this.activationFunction = activationFunction; @@ -57,7 +57,7 @@ namespace api.Models public string activationFunction { get; set; } public int neurons { get; set; } public string regularisation { get; set; } - public float regularisationRate { get; set; } + public string regularisationRate { get; set; } } } diff --git a/backend/api/api/Services/FillAnEmptyDb.cs b/backend/api/api/Services/FillAnEmptyDb.cs index cd35dc78..c74de67d 100644 --- a/backend/api/api/Services/FillAnEmptyDb.cs +++ b/backend/api/api/Services/FillAnEmptyDb.cs @@ -117,10 +117,10 @@ namespace api.Services model.outputNeurons = 0; model.layers = new[] { - new Layer ( 0,"sigmoid", 3,"l1", 1f ), - new Layer ( 1,"sigmoid", 3,"l1", 1f ), - new Layer ( 2,"sigmoid", 3,"l1", 1f ), - new Layer ( 3,"sigmoid", 3,"l1", 1f ), + new Layer ( 0,"sigmoid", 3,"l1", "0" ), + new Layer ( 1,"sigmoid", 3,"l1", "0" ), + new Layer ( 2,"sigmoid", 3,"l1", "0" ), + new Layer ( 3,"sigmoid", 3,"l1", "0" ), }; model.outputLayerActivationFunction = "sigmoid"; model.metrics = new string[] { }; @@ -281,11 +281,11 @@ namespace api.Services model.outputNeurons = 0; model.layers = new[] { - new Layer ( 0,"softmax", 3,"l1", 3f ), - new Layer ( 1,"softmax", 3,"l1", 3f ), - new Layer ( 2,"softmax", 3,"l1", 3f ), - new Layer ( 3,"softmax", 3,"l1", 3f ), - new Layer ( 4,"softmax", 3,"l1", 3f ) + new Layer ( 0,"softmax", 3,"l1", "0" ), + new Layer ( 1,"softmax", 3,"l1", "0" ), + new Layer ( 2,"softmax", 3,"l1", "0" ), + new Layer ( 3,"softmax", 3,"l1", "0" ), + new Layer ( 4,"softmax", 3,"l1", "0" ) }; model.outputLayerActivationFunction = "softmax"; model.metrics = new string[] { }; @@ -435,9 +435,9 @@ namespace api.Services model.outputNeurons = 0; model.layers = new[] { - new Layer ( 0,"relu", 3,"l1", 1f ), - new Layer ( 1,"relu", 3,"l1", 1f ), - new Layer ( 2,"relu", 3,"l1", 1f ) + new Layer ( 0,"relu", 3,"l1", "0" ), + new Layer ( 1,"relu", 3,"l1", "0" ), + new Layer ( 2,"relu", 3,"l1", "0" ) }; model.outputLayerActivationFunction = "relu"; model.metrics = new string[] { }; @@ -593,10 +593,10 @@ namespace api.Services model.outputNeurons = 0; model.layers = new[] { - new Layer ( 0,"sigmoid", 3,"l1", 1f ), - new Layer ( 1,"sigmoid", 3,"l1", 1f ), - new Layer ( 2,"sigmoid", 3,"l1", 1f ), - new Layer ( 3,"sigmoid", 3,"l1", 1f ) + new Layer ( 0,"sigmoid", 3,"l1", "0" ), + new Layer ( 1,"sigmoid", 3,"l1", "0" ), + new Layer ( 2,"sigmoid", 3,"l1", "0" ), + new Layer ( 3,"sigmoid", 3,"l1", "0" ) }; model.outputLayerActivationFunction = "sigmoid"; model.metrics = new string[] { }; @@ -748,8 +748,8 @@ namespace api.Services model.outputNeurons = 0; model.layers = new[] { - new Layer ( 0,"relu", 3,"l1", 1f ), - new Layer ( 1,"relu", 3,"l1", 1f ) + new Layer ( 0,"relu", 3,"l1", "0" ), + new Layer ( 1,"relu", 3,"l1", "0" ) }; model.outputLayerActivationFunction = "relu"; model.metrics = new string[] { }; |