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#### Code Sample, a copy-pastable example to reproduce your bug.
```python
feature_matrix, feature_defs = ft.dfs(
entityset=es,
target_dataframe_name="acc",
agg_primitives=["count"…
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- We originally had **IntegerNullable** and **Integer** because EvalML relies on estimator/classifiers that do not support the pandas `Int64` dtype (which is used in **IntegerNullable**)
- However, a…
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Cannot create/control the application of ```where_primitives``` independent of the ```agg_primitives```
**Use case**: Say, I have a column for ```spend```. I create a ```seed_feature``` to create b…
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`get_function` is repeated throughout every primitive. I purpose we explore the idea of making this available as a decorator instead which wraps the function needed to run in order to obtain the outpu…
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### Adding unnamed DataFrames to EntitySets
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#### Bug/Feature Request Description
Currently, in EvalML's [DFSTransformer](https://github.com/alteryx/evalml/blob/main/evalml/pipelines/com…
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As a user, I would like to be able to use the same Woodwork LogicalType independent of whether or not my data may contain null values.
Currently, a column's physical type (and, correspondingly, the…
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Series with PostalCode logical type can have `float` or `str` elements.
For example,
```python
ser = pd.Series([12345, 67890]).astype('category')
ser = ww.init_series(ser, logical_type='Posta…
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## Problem
- Certain comparison primitives like Equal, NotEqual, EqualScalar, NotEqualScalar use the ColumnSchema base class in their allowed primitive inputs. This allows them to take accept any Log…
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Hi Team, as per [documentation](https://compose.alteryx.com/en/stable/) ComposeML is a crucial step for automated ML pipeline. For our project, the dataset cannot be loaded into pandas dataframe becau…
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- As a user, I wish Featuretools' Feature objects had the ability to store a secondary name for Features.
Given that multi-output features exist, this ability to store a second name would have to …