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train.py
4
train.py
@ -43,8 +43,10 @@ def prepare_model(epoch_param, batch_param, _run):
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X_test = vgsales_test.drop(['Rank','Name','Platform','Year','Genre','Publisher'],axis = 1)
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y_test = vgsales_test[['Nintendo']]
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print(X_train.shape[1])
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model = Sequential()
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model.add(Dense(9, input_dim = X_train, kernel_initializer='normal', activation='relu'))
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model.add(Dense(9, input_dim = X_train.shape[1], kernel_initializer='normal', activation='relu'))
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model.add(Dense(1,kernel_initializer='normal', activation='sigmoid'))
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early_stop = EarlyStopping(monitor="val_loss", mode="min", verbose=1, patience=10)
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