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…config blocks. The dataset class already accepts a datasetonfig to generate the dataset. A data-factory build the dataset instead of functions from the configured.py script. hydra_example.py is ready to execute - it loads data gives a skeleton for future development.
Revised the dataset class description for clarity and efficiency.
…tly builds a custom tensor representation of the data that is passed to TorchDataset. This class sources from a minimal BaseDataset class that only define a rougth structure and methods a Dataset class should have, based on the usage in the rest of the pipeline: e.g. split_on_year(). TorchDataset is created to optimize efficiency during training time and potentially sacrifises some intuitve structure (maybe)
…zation based on data distribution: standard, min-max, ...
…ntents. Config files for optimizer and scheduler finished with multiple options. Little torch README for explaining idea
…e logic. Late Fusion Network achieves competitive results!
…ing reproducability by seeding hopefully everything
…he validation configs.
…le range of optunas framework. Not calibarated yet...
…ench into optuna_hyper_search
…ench into optuna_hyper_search
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