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The purpose of this tool is to aid in obtaining quick visualizations for time series forecasts provided by a Lightwood predictor.
The tool supports predictors trained with lightwood >= 1.0.
There is no documentation. Most functionality is showcased through examples. Please refer to:
example/train.pyto train a Lightwood forecaster for airplane arrival data (which includes 4 different time series)example/visualize.pyto plot predictions from this model in your web browserexample/visualize.ipynbto plot predictions from this model inside a jupyter notebook
Note: if you’ve cloned the repository (as opposed to pip installing), make sure the path to mindsdb_forecast_visualizer is added to your python path environment variable before running these scripts from the package root folder.
