All notable changes to the mango_time_series project will be documented in this file.

The format is based on `Keep a Changelog <https://keepachangelog.com/en/1.0.0/>`_,
and this project adheres to `Semantic Versioning <https://semver.org/spec/v2.0.0.html>`_.

[Unreleased]
------------

[1.0.1] - 2025-09-29
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Added
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- Updated mango dependency version
- Core time series data structures and classes
- Exploratory analysis tools for time series data
- Data validation and processing utilities
- Moving averages and time feature extraction
- Seasonal decomposition and stationarity tests
- Heteroscedasticity analysis
- Custom cross-validation for time series forecasting
- Comprehensive logging and error handling
- Enhanced time series analysis capabilities
- Improved data processing and validation functions
- Better integration with the mango ecosystem

Changed
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- Updated dependencies and package configuration
- Enhanced test coverage and documentation

Features
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- Time series data loading and manipulation
- Statistical analysis and visualization
- Feature engineering for machine learning
- Forecasting metrics and evaluation
- Calendar and holiday handling
- Efficient data processing with pandas and numpy

