I have a time series data having more than one record in a single date. Number of records in a single date is not consistent.
I have 3 input features namely phrase, cost and weight. My goal is to predict 'Cost'. I have used Keras texts_to_sequences to deal with the text input 'phrase' column.
I have following concerns
- how to incorporate Phrase column in the LSTM model
- how to deal with multiple records in a single date
- what will be the shape of input data
- How do I structure the model like 1st layer to be Embedding layer, 2nd to Dense and so on.
Here is the sample of the data:
Here is the processed data:
Kindly assist me.