From 830f1df57cb7edc4fc22a04135ccc0cf86e516be Mon Sep 17 00:00:00 2001 From: Jeff Hernandez <12969559+jeff-hernandez@users.noreply.github.com> Date: Fri, 24 Jul 2020 09:24:34 -0500 Subject: [PATCH 1/2] updates ecosystem in web --- web/pandas/community/ecosystem.md | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/web/pandas/community/ecosystem.md b/web/pandas/community/ecosystem.md index be109ea53eb7d..515d23afb93ec 100644 --- a/web/pandas/community/ecosystem.md +++ b/web/pandas/community/ecosystem.md @@ -42,6 +42,13 @@ datasets into feature matrices for machine learning using reusable feature engineering "primitives". Users can contribute their own primitives in Python and share them with the rest of the community. +### [Compose](https://github.com/FeatureLabs/compose) + +Compose is a machine learning tool for labeling data and prediction engineering. +It allows you to structure the labeling process by parameterizing +prediction problems and transforming time-driven relational data into +target values with cutoff times that can be used for supervised learning. + ## Visualization ### [Altair](https://altair-viz.github.io/) @@ -372,3 +379,4 @@ authors to coordinate on the namespace. | [pdvega](https://altair-viz.github.io/pdvega/) | `vgplot` | `Series`, `DataFrame` | | [pandas_path](https://github.com/drivendataorg/pandas-path/) | `path` | `Index`, `Series` | | [pint-pandas](https://github.com/hgrecco/pint-pandas) | `pint` | `Series`, `DataFrame` | + | [composeml](https://github.com/FeatureLabs/compose) | `slice` | `DataFrame` | From 374cc9a9144718fb106823adc9327067923c8ea9 Mon Sep 17 00:00:00 2001 From: Jeff Hernandez <12969559+jeff-hernandez@users.noreply.github.com> Date: Fri, 24 Jul 2020 11:08:49 -0500 Subject: [PATCH 2/2] updates ecosystem in doc --- doc/source/ecosystem.rst | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/doc/source/ecosystem.rst b/doc/source/ecosystem.rst index b02d4abd3ddf8..de231e43918f8 100644 --- a/doc/source/ecosystem.rst +++ b/doc/source/ecosystem.rst @@ -80,6 +80,11 @@ ML pipeline. Featuretools is a Python library for automated feature engineering built on top of pandas. It excels at transforming temporal and relational datasets into feature matrices for machine learning using reusable feature engineering "primitives". Users can contribute their own primitives in Python and share them with the rest of the community. +`Compose `__ +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Compose is a machine learning tool for labeling data and prediction engineering. It allows you to structure the labeling process by parameterizing prediction problems and transforming time-driven relational data into target values with cutoff times that can be used for supervised learning. + .. _ecosystem.visualization: Visualization @@ -445,6 +450,7 @@ Library Accessor Classes Description `pdvega`_ ``vgplot`` ``Series``, ``DataFrame`` Provides plotting functions from the Altair_ library. `pandas_path`_ ``path`` ``Index``, ``Series`` Provides `pathlib.Path`_ functions for Series. `pint-pandas`_ ``pint`` ``Series``, ``DataFrame`` Provides units support for numeric Series and DataFrames. +`composeml`_ ``slice`` ``DataFrame`` Provides a generator for enhanced data slicing. =============== ========== ========================= =============================================================== .. _cyberpandas: https://cyberpandas.readthedocs.io/en/latest @@ -453,3 +459,4 @@ Library Accessor Classes Description .. _pandas_path: https://github.com/drivendataorg/pandas-path/ .. _pathlib.Path: https://docs.python.org/3/library/pathlib.html .. _pint-pandas: https://github.com/hgrecco/pint-pandas +.. _composeml: https://github.com/FeatureLabs/compose