featuretools
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alteryx
An open source python library for automated feature engineering
### Pull Request Description This PR contains refactors within the `build_features` code path that are focused on improving the performance. There are some new files: - Dockerfile.arm is included for...
The current `Rolling*` primitives use a default gap of 0. If users are not careful when applying this primitive to the target column, which will be a common occurrence in...
- Add LagByTimedelta primitive, which can be helpful for time-series problems ```python from featuretools.primitives.base import TransformPrimitive from featuretools.variable_types import DatetimeTimeIndex, Variable import pandas as pd class LagByTime(TransformPrimitive): """Shift an array...
Add a primitive that computes the rate of change of a numeric value with respect to a time index column. Values would be computed by dividing the change in value...
Add `Expanding*` versions of the `Rolling*` primitives for time series feature engineering. The current rolling primitives, such as rolling max, use data contained within a window to determine the value...
Hello, I am going to evaluate some frameworks on feature engineering automation. And I read some notebooks on featuretools. I am really attracted by the entityset concept. And here are...
-- Add `series_library` instance variable for `PrimitiveBase `
In #1770, a workaround had to be added for the following pandas bug https://github.com/pandas-dev/pandas/issues/43016. This bug has been fixed and will be released as a part of pandas `1.4.0` release....
