Citrine

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0.106.2

Not secure
This is a re-release of [v0.106.0](https://github.com/CitrineInformatics/citrine-python/releases/tag/v0.106.0) now that the backend platform has been updated to support this feature. This version adds a `create_default` method the `DesignSpaceCollection` that constructs a default design space from a predictor id.

What's new

- A new method `create_default` was added to the design space collection. This method will construct a default design space from a predictor id. The design space will contain dimensions and subspaces for all inputs to the predictor that cannot be computed from the predictor itself.

Improvements

- Support for units was added to `IngredientQuantityInOutput`

0.106.0

Not secure
This release adds a `create_default` method the `DesignSpaceCollection` that constructs a default design space from a predictor id.

What's new
- A new method `create_default` was added to the design space collection. This method will construct a default design space from a predictor id. The design space will contain dimensions and subspaces for all inputs to the predictor that cannot be computed from the predictor itself.

Improvements
- Support for units was added to `IngredientQuantityInOutput`

0.104.0

Not secure
This release introduces the `AutoMLPredictor` and an improvement to `gemd_batch_delete` functionality.

What's new
* Introducing [AutoML Predictors](https://citrineinformatics.github.io/citrine-python/workflows/predictors.html#auto-ml-predictor)! AutoML predictors allow the user fine grained control over their models and are simpler to use and understand than even the SimplePredictors. They can be linked up in a GraphPredictor to create more complex models. (https://github.com/CitrineInformatics/citrine-python/pull/545)

Improvements
* Deleting large number of items with `gemd_batch_delete` was improved. It now supports UUID-like strings and Base Entities (Objects & Templates) and paginates on groups larger than 50 elements. (https://github.com/CitrineInformatics/citrine-python/pull/546)

0.102.0

Not secure
This release promotes Design Workflows out of alpha status, as well as the ordinary slew of quality of life improvements.

What's new
* [Design Workflows](https://citrineinformatics.github.io/citrine-python/workflows/design_workflows.html) are now beta! A Design Workflow ranks materials according to a score, providing the fundamental feedback a materials scientist needs to benefit from sequential learning. (#543)

Improvements
* The score and descriptor fields for [Design Executions](https://citrineinformatics.github.io/citrine-python/reference/citrine.resources.design_execution.html#citrine.resources.design_execution.DesignExecution) are now available through this client. (542)
* The dependencies have been updated to take advantage of the latest release of [gemd-python](https://pypi.org/project/gemd). (#544)

Fixes
* Support for Python 3.5 support was dropped in [v0.99.0](https://github.com/CitrineInformatics/citrine-python/releases/tag/v0.99.0). As this removes restriction on the version of [pandas](https://pypi.org/project/pandas/), the version used in testing has been advanced.(#544)

Deprecated
* With promotion of Design Workflows out of alpha, several associated experimental components are officially being deprecated: Cross Validation Analysis Configurations, Performance Workflow, and generic Workflows along with their Collections and Executions. (543)

0.101.0

Not secure
This release includes deprecation of old Design Workflow routes as well as some quality of life improvements to the docs and helper methods.

**Improvements**
* GEMD batch delete will now work with datasets (https://github.com/CitrineInformatics/citrine-python/pull/534)
* Docs now specify that trig functions in expressions take radians (https://github.com/CitrineInformatics/citrine-python/pull/536)
* Docs were updated to use keyword only arguments in formulation constraints (https://github.com/CitrineInformatics/citrine-python/pull/538)

**Fixes**
* Corrected a casting error in `algorithm` argument for `default_for_material` (https://github.com/CitrineInformatics/citrine-python/pull/540)
* Remove `archive` flag for `design_executions`, since archiving executions is not supported. Please archive `DesignWorkflow`s instead (https://github.com/CitrineInformatics/citrine-python/pull/539)

**Deprecated**
* `Score`'s name and description arguments were deprecated (https://github.com/CitrineInformatics/citrine-python/pull/532)
* Old Design Workflow and Execution routes were deprecated in favor of new routes. See [DesignWorkflow documentation](https://citrineinformatics.github.io/citrine-python/workflows/design_workflows.html) for more details (https://github.com/CitrineInformatics/citrine-python/pull/541)

0.99.0

Not secure
This release includes several minor bugfixes and removes support for python 3.5 (end-of-life).

**Changes:**
* Python 3.5 support is no longer required, given that it hit end-of-life in September of last year (https://github.com/CitrineInformatics/citrine-python/pull/535)

**Fixes:**
* Registering a `Dataset` with an existing id will update rather than create (https://github.com/CitrineInformatics/citrine-python/pull/533)
* `GraphPredictors` will property deserialize when they haven't been registered or don't have specific training data associated with them (https://github.com/CitrineInformatics/citrine-python/pull/531)
* Deserialization won't fail when batch deleting objects with unique identifiers (https://github.com/CitrineInformatics/citrine-python/pull/530)

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