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akai01
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.
Maintained by Resul Akay. Last updated 2 years ago.
caretconformal-predictiondata-scienceeconometricsforecastforecastingforecasting-modelsmachine-learningmacroeconometricsmicroeconometricstime-seriestime-series-forcastingtime-series-prediction
25 stars 5.62 score 28 scripts 4 dependents
techtonique
crossvalidation:Generic cross-validation functions
Generic functions for cross-validation of Statistical/Machine Learning models
Maintained by T. Moudiki. Last updated 7 months ago.
2 stars 3.64 score 11 scripts