business-science/modeltime.h2o
Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.
This tool helps business analysts and data scientists quickly generate reliable future predictions. It takes your historical time-series data and automatically selects the best forecasting models to produce accurate forecasts. You would use this if you need to predict trends or values over time, such as sales, inventory, or resource demand.
No commits in the last 6 months.
Use this if you need to create accurate forecasts for many time series at scale, without manually testing numerous machine learning models.
Not ideal if you need fine-grained control over every aspect of model selection and hyperparameter tuning, or if your data is not time-series based.
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45
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11
Language
R
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Last pushed
Jan 04, 2024
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0
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