I request if anyone can provide me template python script to work on?
Thanks in advance
With Keras is very easy to implement ANN in Python.
Have a look at https://medium.com/@cdabakoglu/artificial-neural-network-with-keras-d858f82f90c5
Simple question, not so simple solution.
im working on numerical prediction, i scaled data before ann training. now i need to predict for test data and evaluate model evaluation parameters. how to backscale the results for evaluation?
Hi Jeevan C. ,
You can invert the normalization like this:
from sklearn.preprocessing import MinMaxScaler
scaler = MinMaxScaler()
X_scaled = scaler.fit_transform(X, feature_range=(0,1)) #scaling your X data between 0 and 1 values
print(X_scaled)
#invert scaling
X_scaled_inverted = scaler.inverse_transform(X_scaled)
print(X_scaled_inverted)
Thank you all for your time... Your answers really helped me... Thanks again
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