First Demo testing with time series and other features #492
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…also added a really small test function the test_timeseries_creation.py changes: added a new _column_type, the list
there will be an need for an list type I think
…or, which can generate windows for the feature columns and create labels for the target column
converted correctly a Table into a input for a PyTorch Model with the generator this is a very flexible take cause we can load multiple columns into the input and it will automaticly form the Input Tensor for this, cause it has the size window_size*feature_column. This can also be used for not windowed data just set the windowsize to 1 and you can use any numerical column as an input for an nn.(this is the goal it need to be testes way better)
…d RNN Layer and a Model class, which holds a List of layers. There are things for an Layer Interface. will structure and check it more tomorrow
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…or is fixed tested also the Dataloader and now set for good model implementation
example is finished and works just like the benchmark model
Gerhardsa0
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Gerhardsa0
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