https://pypi.org/project/timeseriesmetrics/ Recent updates to the Python Package Index for timeseriesmetrics en https://pypi.org/project/timeseriesmetrics/0.2.2/ This package provides a comprehensive set of metrics designed to evaluate the performance of predictive models for time series. It includes commonly used metrics such as MAPE, Theil's U, ARV, ID (Index of Disagreement), and WPOCID. juniordante01@gmail.com Mon, 26 May 2025 22:36:42 GMT https://pypi.org/project/timeseriesmetrics/0.2.1/ This package provides a comprehensive set of metrics designed to evaluate the performance of predictive models for time series. It includes commonly used metrics such as MAPE, Theil's U, ARV, ID (Index of Disagreement), and WPOCID. juniordante01@gmail.com Fri, 17 Jan 2025 01:08:43 GMT https://pypi.org/project/timeseriesmetrics/0.2.0/ This package provides a comprehensive set of metrics designed to evaluate the performance of predictive models for time series. It includes commonly used metrics such as MAPE, Theil's U, ARV, ID (Index of Disagreement), and WPOCID. juniordante01@gmail.com Fri, 17 Jan 2025 00:57:12 GMT https://pypi.org/project/timeseriesmetrics/0.1.9/ This package is a set of metrics commonly used to analyze the performance of predictive models for time series, such as MAPE, Theil's U, ARV, ID (Index of Disagreement), wpocid. juniordante01@gmail.com Fri, 03 Jan 2025 01:08:06 GMT https://pypi.org/project/timeseriesmetrics/0.1.8/ This package is a set of metrics commonly used to analyze the performance of predictive models for time series, such as MAPE, Theil's U, ARV, ID (Index of Disagreement), WPOCID. juniordante01@gmail.com Tue, 24 Sep 2024 12:09:32 GMT https://pypi.org/project/timeseriesmetrics/0.1.6/ This package is a set of metrics commonly used to analyze the performance of predictive models for time series, such as MAPE, Theil's U, ARV, ID (Index of Disagreement), WPOCID. juniordante01@gmail.com Tue, 24 Sep 2024 11:54:24 GMT https://pypi.org/project/timeseriesmetrics/0.1.4/ This package is a set of metrics commonly used to analyze the performance of predictive models for time series, such as MAPE, Theil's U, ARV, ID (Index of Disagreement), WPOCID. juniordante01@gmail.com Tue, 24 Sep 2024 02:37:42 GMT https://pypi.org/project/timeseriesmetrics/0.1.0/ This package is a set of metrics commonly used to analyze the performance of predictive models for time series, such as MAPE, Theil's U, ARV, ID (Index of Disagreement), wpocid. juniordante01@gmail.com Tue, 24 Sep 2024 02:00:47 GMT