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caretForecast - Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms
Conformal time series forecasting using the caret infrastructure. It provides access to state-of-the-art machine learning models for forecasting applications. The hyperparameter of each model is selected based on time series cross-validation, and forecasting is done recursively.
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caretconformal-predictiondata-scienceeconometricsforecastforecastingforecasting-modelsmachine-learningmacroeconometricsmicroeconometricstime-seriestime-series-forcastingtime-series-prediction
5.81 score 29 stars 4 dependents 37 scripts 529 downloadsngboostForecast - Probabilistic Time Series Forecasting
Probabilistic time series forecasting via Natural Gradient Boosting for Probabilistic Prediction.
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forecastingmachine-learningngboostngboost-forecastprobabilistic-forecastspythonsklearntime-series
3.69 score 7 stars 14 scripts 309 downloads