Framework for automated forecasting of univariate time series data
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added forecast validation and updated examples to include it; added random forest to model.py and test
286e0c7View on GitHubadded methods for easier summary, viewing of model results. updated example file to use these methods. add license
e25918fView on GitHubmoved util.py functions to train() in model.py; modified constructors to take kwargs like add_day_of_week
be77f34View on GitHubadded validation and augmented forecaster, operation classes. added more todos
45032b6View on GitHubadded tests, examples, and refactored model class to forecast multivariate
8f03946View on GitHub