v0.7.0

rwedge released this 29 Mar 17:19

c30d842

v0.7.0 Mar 29, 2019

Improve Entity Set Serialization (#361)
Support calling a primitive instance's function directly (#461, #468)
Support other libraries extending featuretools functionality via entrypoints (#452)
Remove featuretools install command (#475)
Add GroupByTransformFeature (#455, #472, #476)
Update Haversine Primitive (#435, #462)
Add commutative argument to SubtractNumeric and DivideNumeric primitives (#457)
Add FilePath variable_type (#470)
Add PhoneNumber, DateOfBirth, URL variable types (#447)
Generalize infer_variable_type, convert_variable_data and convert_all_variable_data methods (#423)
Documentation updates (#438, #446, #458, #469)
Testing updates (#440, #444, #445, #459)

Thanks to the following people for contributing to this release: @bukosabino, @CharlesBradshaw, @ColCarroll, @glentennis, @grayskripko, @gsheni, @jeff-hernandez, @jrkinley, @kmax12, @RogerTangos, @rwedge

Breaking Changes

ft.dfs now has a groupby_trans_primitives parameter that DFS uses to automatically construct features that group by an ID column and then apply a transform primitive to search group. This change applies to the following primitives: CumSum, CumCount, CumMean, CumMin, and CumMax.

Previous behavior

.. code-block:: python
```
  ft.dfs(entityset=es,
         target_entity='customers',
         trans_primitives=["cum_mean"])
```
New behavior

.. code-block:: python
```
  ft.dfs(entityset=es,
         target_entity='customers',
         groupby_trans_primitives=["cum_mean"])
```
Related to the above change, cumulative transform features are now defined using a new feature class, GroupByTransformFeature.

Previous behavior

.. code-block:: python
```
  ft.Feature([base_feature, groupby_feature], primitive=CumulativePrimitive)
```
New behavior

.. code-block:: python
```
  ft.Feature(base_feature, groupby=groupby_feature, primitive=CumulativePrimitive)
```

Summary:

Assets 2