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pypi.org : lazyforecast
LazyForecast is a Python library for performing univariate time series analysis using a lazy forecasting approach. This approach is designed to provide quick and simple forecasting models without requiring extensive configuration or parameter tuning.
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Source
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- Documentation
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purl: pkg:pypi/lazyforecast
Keywords: arima, timeseries, forecasting, pyramid, pmdarima, pyramid-arima, scikit-learn, statsmodels, tensorflow, tensor, machine, learning
License: MIT
Latest release: 11 months ago
First release: 12 months ago
Downloads: 16 last month
Stars: 0 on GitHub
Forks: 0 on GitHub
Total Commits: 9
Committers: 2
Average commits per author: 4.5
Development Distribution Score (DDS): 0.444
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Last synced: 24 days ago