I'm trying to train a Keras model based on partial features from my data set. I've loaded the data set and extracted the features like so:
train_data = pd.read_csv('../input/data.csv')
X = train_data.iloc[:, 0:30]
Y = train_data.iloc[:,30]
# Code for selecting the important features automatically (removed) ...
# Selectintg important features 14,17,12,11,10,16,18,4,9,3
X = train_data.reindex(columns=['V14','V17','V12','V11','V10','V16','V18','V4','V9','V3'])
print(X.shape[1]) # -> 10
But when I'm calling the fit method:
# Fit the model
history = model.fit(X, Y, validation_split=0.33, epochs=10, batch_size=10, verbose=0, callbacks=[early_stop])
I get the following error:
KeyError: '[3 2 5 1 0 4] not in index'
What am I missing?