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authorTAMARA JERINIC <tamara.jerinic@gmail.com>2022-04-16 20:37:05 +0200
committerTAMARA JERINIC <tamara.jerinic@gmail.com>2022-04-16 20:37:05 +0200
commit838139bbc7bee693cfb8d11e9a29e725bbe36ccb (patch)
tree296230d4d6db4b83ff3c9e071cf8c9876e2a20ee /backend/microservice/api/newmlservice.py
parent41bfcba0af1f375349b9fb1935aeb0e0856adff9 (diff)
Prepravka za usaglaĊĦavanje sa frontend-om.
Diffstat (limited to 'backend/microservice/api/newmlservice.py')
-rw-r--r--backend/microservice/api/newmlservice.py6
1 files changed, 3 insertions, 3 deletions
diff --git a/backend/microservice/api/newmlservice.py b/backend/microservice/api/newmlservice.py
index e81192ab..585db480 100644
--- a/backend/microservice/api/newmlservice.py
+++ b/backend/microservice/api/newmlservice.py
@@ -122,7 +122,7 @@ def train(dataset, paramsModel,paramsExperiment,paramsDataset,callback):
for col in paramsExperiment["inputColumns"]:
#print(col)
data[col]=dataset[col]
- output_column = paramsExperiment["columnToPredict"]
+ output_column = paramsExperiment["outputColumn"]
data[output_column] = dataset[output_column]
#print(data)
@@ -297,8 +297,8 @@ def train(dataset, paramsModel,paramsExperiment,paramsDataset,callback):
history=classifier.fit(x_train, y_train, epochs = paramsModel['epochs'],batch_size=paramsModel['batchSize'])
hist=history.history
- plt.plot(hist['accuracy'])
- plt.show()
+ #plt.plot(hist['accuracy'])
+ #plt.show()
y_pred=classifier.predict(x_test)
y_pred=np.argmax(y_pred,axis=1)