how to use

1.in DataSetGen to generate Dataset

(1) Dataset.csv is modified from Dataset_origin.csv which is make
by Johns Hopkins University in 
https://github.com/CSSEGISandData/COVID-19  
(2) dataset_64_create.py is to create a input 64 output 16 dataset
(3) DataNormalize.py is to Normalize the Dataset
(4) this two datasets are over 100MB, and place in directory(folder)
upper the Content root.

2.in input64_16,input671_30 linear and conv model are train

(1) train_linear.py, train_conv.py are to train model with normalized 
Dataset.
(2) model_val.py,model_val_nor.py is to see model perform.
(3) logs are over 100MB and place in directory(folder)
upper the Content root.

2021.12.26 64input_16output

First try to input all 702 days to train and test
use 702-30 days as input and output 30 days to predict
However, it might be not practical to use so many days as input
because the days to early are to far away to influence the input
as a consequence, it might be better to use 64 days or 32 days
as input.