Forecasting with H2O AutoML
Modeltime H2O provides an H2O backend to the Modeltime Forecasting Ecosystem. The main algorithm is H2O AutoML, an automatic machine learning library that is built for speed and scale.
# Install Development Version devtools::install_github("business-science/modeltime.h2o")
With the Modeltime Ecosystem, it’s easy to forecast at scale. This forecast was created with H2O AutoML. Try it out in Getting Started with Modeltime H2O.
Learn a growing ecosystem of forecasting packages
Modeltime is part of a growing ecosystem of Modeltime forecasting packages.
Become the forecasting expert for your organization
High-Performance Time Series Course
Time series is changing. Businesses now need 10,000+ time series forecasts every day. This is what I call a High-Performance Time Series Forecasting System (HPTSF) - Accurate, Robust, and Scalable Forecasting.
High-Performance Forecasting Systems will save companies by improving accuracy and scalability. Imagine what will happen to your career if you can provide your organization a “High-Performance Time Series Forecasting System” (HPTSF System).
I teach how to build a HPTFS System in my High-Performance Time Series Forecasting Course. You will learn:
Modeltime- 30+ Models (Prophet, ARIMA, XGBoost, Random Forest, & many more)
Become the Time Series Expert for your organization.