Auto ML Forecast
Tech Name | Technique Description | Module (Language) | |
---|---|---|---|
1 | AutoGluon | Automated Machine Learning | Python |
Machine Learning Models
Tech Name | Technique Description | Module (Language) | |
---|---|---|---|
1 | XGBOOST | eXtreme Gradient Boosting | Python |
2 | LIGHTGBM | Light Gradient-Boosting Machine |
Python |
3 | RANDOM_FOREST | Random Forest (RF) | Python |
4 | PROPHET | Facebook Prophet | Python |
AI Models (Deep Learning)
Tech Name | Technique Description | Module (Language) | |
---|---|---|---|
1 | MULTILAYER_PERCEPTRON | Multilayer Perceptron (MLP) | Python |
Statistical Models
Tech Name | Technique Description | Module (Language) | |
---|---|---|---|
1 | ARIMA_FORECAST | ARIMA Model | R |
2 | AUTOARIMA_FORECAST | Auto Arima | R |
3 | AUTOHWS_FORECAST | Auto Holt-Winters Seasonal (HWS) |
R |
4 | AUTOREG_FORECAST | Autoregressive (AR) Forecasting |
R |
5 | BATS_FORECAST | BATS (Box-Cox transformation, ARMA errors, Trend, and Seasonal components) |
R |
6 | CROSTON_FORECAST | Croston’s Method | R |
7 | DYNAMIC_REGRESSION | Dynamic Regression Model | R |
8 | HWS_FORECAST | Holt-Winters Seasonal (HWS) Method |
R |
9 | SNAIVE_FORECAST | The Seasonal Naïve forecast | R |
10 | STL_FORECAST | STL (Seasonal-Trend Decomposition using LOESS) Forecasting |
R |
11 | TBATS_FORECAST | TBATS | R |
12 | TSLM_REGRESSION | TSLM (Time Series Linear Model) Regression |
R |
13 | VECTOR_REGRESSION | Vector Autoregression (VAR) | R |