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The BenchmarkDataset class (and the Benchmark class) should be improved to cover a wider range of use cases. To do :
Add parameter to define a batch size, as it depends strongly on the samples dataset dimension
Add parameters to choose which components are used as input respectively as target (currently, all components are used as input as well as target), reflecting real-world applications.
Make the given time series instantiable dynamically, limiting memory usage typically when a lot of datasets are benchmarked
Add parameter to define a pre-processing pipeline. For now, it can be a simple lambda.
The text was updated successfully, but these errors were encountered:
The BenchmarkDataset class (and the Benchmark class) should be improved to cover a wider range of use cases. To do :
The text was updated successfully, but these errors were encountered: