CODEWITHSUNDEEP
machine-learningneural-networkdata-modelingmodeling
Hua Ye
Hua Ye

Reputation: 41

Model that predict both categorical and numerical output

I am building a RNN for a time series model, which have a categorical output. For example, if precious 3 pattern is "A","B","A","B" model predict next is "A". there's also a numerical level associated with each category. For example A is 100, B is 50, so A(100), B(50), A(100), B(50),
I have the model framework to predict next is "A", it would be nice to predict the (100) at the same time.

For real life examples, you have national weather data. You are predicting the next few days weather type(Sunny, windy, raining ect...) at the same time, it would be nice model will also predict the temperature.

Or for Amazon, analysis customer's trxns pattern. Customer A shopped category electronic($100), household($10), ... ... predict what next trxn category that this customer is likely to shop and predict at the same time what would be the amount of that trxns.

Researched a bit, have not found any relevant research on similar topics.

Upvotes: 1

Views: 444

Answers (1)

Thomas Wagenaar
Thomas Wagenaar

Reputation: 6779

What is stopping you from adding an extra output to your model? You could have one categorical output and one numerical output next to each other. Every neural network library out there supports multiple outputs.

Your will need to normalise your output data though. Categories should be normalised with one-hot encoding and numerical values should be normalised by dividing by some maximal value.

Researched a bit, have not found any relevant research on similar topics.

Because this is not really a 'topic'. This is something completely normal, and it does not require some special kind of network.

Upvotes: 0

Related Questions