0.5.4

• Fix update_hyperparams for SKLearnWrapper (critical)

0.5.3

• Tree Parzen Estimators
• Scipy Distributions Support

0.5.2

• Partial fit in SKLearnWrapper
• Setup with context
• All the changes from 0.5.1 (was not uploaded to pypi)

0.5.1

• Fix warnings.warn for python 3.6 & python 3.7
• Add with_context method to BaseStep to force the use of a given context in the pipeline
• Use dependency injection by setting the execution context service locator : ExecutionContext().set_service_locator({ BaseType: instance })

0.5.0

• Added streaming pipelines for parallel processing.
• Implemented neat .apply() logic in the steps to recursively apply any function if it exists.
• Refactored the BaseStep so as to make it inherit from multiple smaller classes to separate the logic and allow for creating various steps such as the BaseTransformer that doesn't need any fitting: the BaseStep is thus a BaseTransformer with aditionnal fitting behavior that is added by inheriting another mixin.
• Some bug were fixed.

0.4.1

Merge pull request #341 from alexbrillant/trainer-train-method-before…

0.4.0

Merge pull request #308 from alexbrillant/issue-236

Fix Issue #236

0.3.4

Hotfixes patch for 0.3.3

0.3.3

New AutoML Loop

0.3.2

Merge pull request #268 from guillaume-chevalier/master

Add LabelEncoder example and fix numpy issues in data container