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| author | TAMARA JERINIC <tamara.jerinic@gmail.com> | 2022-05-17 23:06:55 +0200 |
|---|---|---|
| committer | TAMARA JERINIC <tamara.jerinic@gmail.com> | 2022-05-17 23:06:55 +0200 |
| commit | 7cae50c68ae1c80ab34e118c6bb24a4a4cf99730 (patch) | |
| tree | f393fe4195c78f4f1bfe13e16d079b8c53f858b2 /backend/microservice/api | |
| parent | e0d0e1faf5b076818606df73de1e4fed259d58da (diff) | |
Izmena regresije.
Diffstat (limited to 'backend/microservice/api')
| -rw-r--r-- | backend/microservice/api/newmlservice.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/backend/microservice/api/newmlservice.py b/backend/microservice/api/newmlservice.py index f374e9d2..afcbcdd7 100644 --- a/backend/microservice/api/newmlservice.py +++ b/backend/microservice/api/newmlservice.py @@ -370,7 +370,7 @@ def train(dataset, paramsModel,paramsExperiment,paramsDataset,callback): - classifier.compile(loss =paramsModel["lossFunction"] , optimizer =opt, metrics = ['accuracy','mae','mse']) + classifier.compile(loss =paramsModel["lossFunction"] , optimizer =opt, metrics = ['mae','mse']) history=classifier.fit( x=x_train, y=y_train, epochs = paramsModel['epochs'],batch_size=int(paramsModel['batchSize']),callbacks=callback(x_test, y_test,paramsModel['_id']),validation_data=(x_val, y_val)) |