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j-ittner committed Feb 15, 2021
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72 changes: 37 additions & 35 deletions README.rst
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Expand Up @@ -8,40 +8,41 @@ explanations of your supervised machine learning models.

FACET is composed of the following key components:

+-----------------+---------------------------------------------------------------------+
| |spacer| | **Model Inspection** |
| | |
| |inspect| | FACET introduces a new algorithm to quantify dependencies and |
| | interactions between features in ML models. |
| | This new tool for human-explainable AI adds a new, global |
| | perspective to the observation-level explanations provided by the |
| | popular `SHAP <https://shap.readthedocs.io/en/stable/>`__ approach. |
| | To learn more about FACET’s model inspection capabilities, see the |
| | getting started example below. |
+-----------------+---------------------------------------------------------------------+
| |spacer| | **Model Simulation** |
| | |
| |sim| | FACET’s model simulation algorithms use ML models for |
| | *virtual experiments* to help identify scenarios that optimise |
| | predicted outcomes. |
| | To quantify the uncertainty in simulations, FACET utilises a range |
| | of bootstrapping algorithms including stationary and stratified |
| | bootstraps. |
| | For an example of FACET’s bootstrap simulations, see the |
| | quickstart example below. |
+-----------------+---------------------------------------------------------------------+
| |spacer| | **Enhanced Machine Learning Workflow** |
| | |
| |pipe| | FACET offers an efficient and transparent machine learning |
| | workflow, enhancing |
| | `scikit-learn <https://scikit-learn.org/stable/index.html>`__'s |
| | tried and tested pipelining paradigm with new capabilities for model|
| | selection, inspection, and simulation. |
| | FACET also introduces |
| | `sklearndf <https://github.com/BCG-Gamma/sklearndf>`__, an augmented|
| | version of *scikit-learn* with enhanced support for *pandas* data |
| | frames that ensures end-to-end traceability of features. |
+-----------------+---------------------------------------------------------------------+
+-----------------+-----------------------------------------------------------------------+
| |spacer| | **Model Inspection** |
| | |
| |inspect| | FACET introduces a new algorithm to quantify dependencies and |
| | interactions between features in ML models. |
| | This new tool for human-explainable AI adds a new, global |
| | perspective to the observation-level explanations provided by the |
| | popular `SHAP <https://shap.readthedocs.io/en/stable/>`__ approach. |
| | To learn more about FACET’s model inspection capabilities, see the |
| | getting started example below. |
+-----------------+-----------------------------------------------------------------------+
| |spacer| | **Model Simulation** |
| | |
| |sim| | FACET’s model simulation algorithms use ML models for |
| | *virtual experiments* to help identify scenarios that optimise |
| | predicted outcomes. |
| | To quantify the uncertainty in simulations, FACET utilises a range |
| | of bootstrapping algorithms including stationary and stratified |
| | bootstraps. |
| | For an example of FACET’s bootstrap simulations, see the |
| | quickstart example below. |
+-----------------+-----------------------------------------------------------------------+
| |spacer| | **Enhanced Machine Learning Workflow** |
| | |
| |pipe| | FACET offers an efficient and transparent machine learning |
| | workflow, enhancing |
| | `scikit-learn <https://scikit-learn.org/stable/index.html>`__'s |
| | tried and tested pipelining paradigm with new capabilities for model |
| | selection, inspection, and simulation. |
| | FACET also introduces |
| | `sklearndf <https://github.com/BCG-Gamma/sklearndf>`__ |
| | [`documentation <https://bcg-gamma.github.io/sklearndf/index.html>`__]|
| | an augmented version of *scikit-learn* with enhanced support for |
| | *pandas* data frames that ensures end-to-end traceability of features.|
+-----------------+-----------------------------------------------------------------------+

.. Begin-Badges
Expand Down Expand Up @@ -73,7 +74,8 @@ Quickstart
----------------------

The following quickstart guide provides a minimal example workflow to get you
up and running with FACET.
up and running with FACET. For additional tutorials and the API guide see
the `FACET documentation <https://bcg-gamma.github.io/facet/>`__.

Enhanced Machine Learning Workflow
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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71 changes: 3 additions & 68 deletions sphinx/auxiliary/Diabetes_getting_started_example.ipynb
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Expand Up @@ -4,60 +4,7 @@
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Expand Down Expand Up @@ -579,21 +526,9 @@
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