robjhyndman / M4metalearning
☆116Updated 5 years ago
Alternatives and similar repositories for M4metalearning:
Users that are interested in M4metalearning are comparing it to the libraries listed below
- Hierarchical and Grouped Time Series☆110Updated 4 months ago
- Feature-based Forecast Model Selection (FFORMS)☆79Updated 2 years ago
- R package for Feature-based Forecast Model Averaging☆31Updated 4 years ago
- The R package M4comp2018 contains the 100000 time series from the M4-competition (https://www.m4.unic.ac.cy/)☆48Updated 5 years ago
- Hierarchical Time Series Forecasting using Prophet☆144Updated 3 years ago
- GRATIS: GeneRAting TIme Series with diverse and controllable characteristics☆76Updated 8 months ago
- ☆156Updated 3 years ago
- An extension of CatBoost to probabilistic modelling☆141Updated last year
- An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms☆130Updated 4 years ago
- This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model…☆47Updated 2 years ago
- The Time Series Data Library (TSDL) was created by Rob Hyndman, Professor of Statistics at Monash University, Australia.☆105Updated 4 years ago
- Hierarchical Time Series Forecasting with a familiar API☆224Updated last year
- Python package for Feature-based Forecast Model Averaging (FFORMA).☆11Updated last year
- Forecast Reconciliation - Classical (bottom-up), optimal and heuristic combination forecast reconciliation procedures for cross-sectional…☆31Updated 2 weeks ago
- Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package☆80Updated 2 years ago
- A python package for hierarchical forecasting, inspired by hts package in R.☆29Updated 9 months ago
- oddstream {Outlier Detection in Data STREAMs}☆64Updated 4 years ago
- Python package for Feature-based Forecast Model Averaging (FFORMA).☆29Updated 4 years ago
- Temporal HIErarchical Forecasting☆47Updated last year
- Time Series Ensemble Forecasting☆74Updated 4 months ago
- R-Package for estimating CLV☆55Updated 2 weeks ago
- Slides for a forecasting course based on "Forecasting: Principles and Practice"☆169Updated last month
- The repository contains current, slightly updated, version of ES_RNN - a hybrid Exponential Smoothing/Recurrent NN method that won M4 For…☆29Updated 5 years ago
- Time series forecasting with tree ensembles☆13Updated 3 years ago
- BATS and TBATS forecasting methods☆181Updated last year
- R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''☆45Updated 4 years ago
- autoxgboost - Automatic tuning and fitting of xgboost☆121Updated 2 years ago
- Forecasting with Additive Switching of Seasonality, Trend and Exogenous Regressors☆149Updated 2 years ago
- Feature Extraction And Statistics for Time Series☆297Updated last month
- Method developed by Tiago Dantas and Fernando Cyrino Oliveira that combines Bagging, Clusters and ETS to produce highly accurate time ser…☆11Updated 5 years ago