My dataset has 3 columns - a,b,c. Using b (and its history), I wish to predict c. Using list function and converting to array, I can tell python to look at last 20 b's for any b, as input to predict c. Now, I wish to tell the code, to look at those last 20 b's where the 'a' value is same, and in case it doesn't find 20 such entries with same 'a' value, then it should look at as many entries as there are available with same value of 'a'
I suggest you to visit the site web of Tensorflow, that give a lot of information implementation the ML and DL for each layers what do it for extraction the features and saving your model , for you can you loading in time for testing or prediction or looking history of trained models.
Site web: www.tensorflow.org
I hope helpful. @Gaurav Pareek
Related to your query, I suggest you get help through : https://www.tensorflow.org/guide/keras/rnn https://machinelearningmastery.com/sequence-classification-lstm-recurrent-neural-networks-python-keras/
I suggest you to visit the site web of Tensorflow, that give a lot of information implementation the ML and DL for each layers what do it for extraction the features and saving your model , for you can you loading in time for testing or prediction or looking history of trained models.
Site web: www.tensorflow.org
I hope helpful. @Gaurav Pareek
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