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| author | Sonja Galovic <galovicsonja@gmail.com> | 2022-05-19 12:55:51 +0200 |
|---|---|---|
| committer | Sonja Galovic <galovicsonja@gmail.com> | 2022-05-19 12:55:51 +0200 |
| commit | 5dab3cad1e3f4d0c97525f77db90ca11cd8a4eb9 (patch) | |
| tree | 60c123f643e51151aa16bb818f0ef2761586b7b5 | |
| parent | 2c75cea0ef88d9db56e30b31470edb1bcc437350 (diff) | |
| parent | 6d11f5510627798f1b764fcdf19bcba0c1aa09e3 (diff) | |
Merge branch 'redesign' of http://gitlab.pmf.kg.ac.rs/igrannonica/neuronstellar into redesign
| -rw-r--r-- | backend/microservice/api/newmlservice.py | 6 |
1 files changed, 2 insertions, 4 deletions
diff --git a/backend/microservice/api/newmlservice.py b/backend/microservice/api/newmlservice.py index 427111a7..bcff5a33 100644 --- a/backend/microservice/api/newmlservice.py +++ b/backend/microservice/api/newmlservice.py @@ -514,15 +514,13 @@ def train(dataset, paramsModel,paramsExperiment,paramsDataset,callback): 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)) hist=history.history - print() + y_pred=classifier.predict(x_test) #print(classifier.evaluate(x_test, y_test)) classifier.save(filepath, save_format='h5') - metrics={} - + mse = float(sm.mean_squared_error(y_test,y_pred)) - metrics.append mae = float(sm.mean_absolute_error(y_test,y_pred)) mape = float(sm.mean_absolute_percentage_error(y_test,y_pred)) rmse = float(np.sqrt(sm.mean_squared_error(y_test,y_pred))) |