Analyzing and modeling weekly calendar distributions using latent components
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Project description
Latent Calendar
Analyze and model data on a weekly calendar
Installation
Install from PyPI:
pip install latent-calendar
Or install directly from GitHub for the latest functionality.
Features
- DataFrame agnostic transformations and aggregation powered by
narwhals - Integrated automatically into
pandasandpolarswithcalattribute on DataFrame and Series - Compatible with
scikit-learnpipelines and transformers - Transform and visualize data on a weekly calendar
- Model weekly calendar data with a mixture of calendars
- Create lower dimensional representations of calendar data
Documentation
Find more examples and documentation here.
Project details
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