Version 0.5.8
- Update dependencies, restrict to pandas < 0.26.
Version 0.5.7
- Make compatible with pandas 0.25
Version 0.5.6
- Add dimension_type and sort_order columns to the dimension_description
- Add end dates to the observation_fact export in skinny loader (end date dimension still missing)
Version 0.5.5
- 16.2 template validation
- Allow reuse of column names in separate source files used by template reader
- Template reader source data can be provided in single sheet Excel files
Version 0.5.4
- Create transmart-copy files without setting
FAS
on study node.
Version 0.5.2
- You can now create a template from an existing tree in BaaS
- file2df() now reads floats as is
Version 0.5.0
- Support for Date observations with value type 'D'
- Fixed issue with lower case top node in deprecated template reader
Version 0.4.4
- Support for Excel templates for 17.1+
- Added data density for the random study generator
- Added package wide options under tmtk.options
- Added builds for Anaconda
- Automated testing on Windows
Version 0.4.2
- Fixed call_boris and related tests and examples.
Version 0.4.1
- Data types and modifiers support in blueprint.
- Fixed issue with empty date columns
- Export studies without including a top node
- Better support for modifiers other than MISSVAL
Version 0.4.0
- Added support to export to skinny format (toolbox.SkinnyExport)
- Support for modifiers and ontology concepts
- known issue: the Arborist does not have full support yet.
- Variable objects are more powerful with more setters.
Version 0.3.5
- Better support for building pipelines from code books using Blueprints
- Set data label, concept path, and word mapping from clinical variable abstraction
- Arborist support for _ and +
- Improved stability of Arborist
- Fixes in Validator for word map file
Version 0.3.3
- More easily extensible validator functionality
- Added multiple validation methods
- Fix issue with namespace cleaner
Version 0.3.1
- Replaced deprecated pandas functionality
- More reliably start batch job
Version 0.3.0
- Create studies from TraIT data templates, see :ref:`data_templates`.
- Create fully randomized studies of any size:
tmtk.toolbox.RandomStudy
. - Load data right from Jupyter using transmart-batch, with progress bars!! Also works in
as a command line tool
transmart-batch
. - Set name and id from the main study object.
Version 0.2.2
- Minor bug fix for Arborist installation
Version 0.2.1
- The Arborist is now implemented as a Jupyter Notebook extension
- Metadata tags are automatically sorted in Arborist.
Version 0.2.0
- Create and apply tree templates in Arborist
- Improved interaction with metadata tags in Arborist
- Resolved issues with the validator
- R is now an optional dependency