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I would like a better explanation of what train_data really has and means for the model. Right now I only see random values between 0 and 1 that does not see related to " information data, such as height, weight, sex, age, and the observation data, including systolic blood pressure, diastolic blood pressure, heart rate, the time of the measure, whether taking in drug, mood." So a explanation of it would help.
Same for test data I dont know exactly what I am testing. What is input and output in human terms ?
If I generate a If I graph model .pb, how would I use it in a android app ?
I am able to run the code in tensorflow v 0.12. Had to modified the batch_size to make it run with the train_data.
The text was updated successfully, but these errors were encountered:
For preprocessing part, I made gender and time (month) into one-hot vector and all other numerical values are converted within 0 and 1 by max-min regularizer. For blood pressure measurement data, it is a time series and I put it into RNN to train the model.
I would like a better explanation of what train_data really has and means for the model. Right now I only see random values between 0 and 1 that does not see related to " information data, such as height, weight, sex, age, and the observation data, including systolic blood pressure, diastolic blood pressure, heart rate, the time of the measure, whether taking in drug, mood." So a explanation of it would help.
Same for test data I dont know exactly what I am testing. What is input and output in human terms ?
If I generate a If I graph model .pb, how would I use it in a android app ?
I am able to run the code in tensorflow v 0.12. Had to modified the batch_size to make it run with the train_data.
The text was updated successfully, but these errors were encountered: