- Upgrating depenencies due to urllib3 vulnerability CVE-2019-11324 - Fixing https://github.com/intive-DataScience/tbats/issues/7 - Fixing https://github.com/intive-DataScience/tbats/issues/6 - Fixed long_description_content_type
1.0.7
Not secure
Upgrating depenencies due to Jinja2 vulnerability found: In Pallets Jinja before 2.10.1, str.format_map allows a sandbox escape.
1.0.6
Not secure
Added second pool closing code to prevent OS open file issues.
1.0.5
Not secure
Fixed pools not being closed https://github.com/intive-DataScience/tbats/pull/3 (thank you) Fixed numerical computation issues in Inverse Box-Cox
1.0.4
Not secure
1.0.3
Not secure
It is possible to provide confidence_level to forecast method. Once provided model shall return forecasts and related confidence intervals. See examples/confidence_intervals.py for details