How to work with weighted automata dataset for Keras Regression

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I'm trying to work with a dataset for a weighted automata. The dataset structure is

/dataset
 /train
   ID_Weigth.txt
 /test
   ID_Weight.txt

So I basically have a .txt-file with a simple string. Before I can try to figure out the details regarding the regression itself to predict the weight of a string based on my data, I need to prepare my data. Currently I'm trying to use the function text_dataset_from_directory but I don't know where to go from there with preparing that data. Any help would be appreciated.

keras regression automata python
1 Answers

I think I figured out an easier way to do it.

Instead of using text_dataset_from_directory I changed my dataset. I now have a .csv-file where I have my weight and the word next to it. I can read that into np-arrays and input them into Keras.

user_103765350
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