I am trying to create a hard voting ensemble of three neural networks. I've already converted them to Keras Classifiers.
Here is the code:
from tensorflow.keras.layers import Input, Average
from sklearn.ensemble import VotingClassifier
from sklearn.metrics import accuracy_score
from keras.wrappers.scikit_learn import KerasClassifier
#load models
model1 = keras.models.load_model('/content/drive/MyDrive/Glomerulimodels/...')
model2 = keras.models.load_model('/content/drive/MyDrive/Glomerulimodels/...')
model3 = keras.models.load_model('/content/drive/MyDrive/Glomerulimodels/...')
model1 = KerasClassifier(model1)
model2 = KerasClassifier(model2)
model3 = KerasClassifier(model3)
model1._estimator_type = "classifier"
model2._estimator_type = "classifier"
model3._estimator_type = "classifier"
voting = VotingClassifier(estimators=[('model1', model1), ('model2', model2), ('model3', model3)], voting='hard')
voting.fit(X_train, y_train)
predicted = voting.predict(X_test)
accuracy = accuracy_score(predicted, y_test)
It runs for a bit then I get this error:
