From f91c879a368540067aa048f6c46d3d7f877dd5d8 Mon Sep 17 00:00:00 2001 From: 11258k Date: Wed, 10 Mar 2021 09:43:00 +0100 Subject: [PATCH 1/2] readme and tuto update --- README.md | 6 +++++- docs/_static/webinar_screenshot.png | Bin 0 -> 125462 bytes ...torial01-Shapash-Overview-Launch-WebApp.rst | 7 +------ setup.cfg | 2 +- setup.py | 2 +- shapash/__init__.py | 2 +- ...rial01-Shapash-Overview-Launch-WebApp.ipynb | 14 ++------------ 7 files changed, 11 insertions(+), 22 deletions(-) create mode 100644 docs/_static/webinar_screenshot.png diff --git a/README.md b/README.md index 0d65abfe..20553dc5 100644 --- a/README.md +++ b/README.md @@ -19,6 +19,10 @@ It provides several types of visualization that display explicit labels that eve Data Scientists can more easily understand their models and share their results. End users can understand the decision proposed by a model using a summary of the most influential criteria. - Readthedocs: [![documentation badge](https://readthedocs.org/projects/shapash/badge/?version=latest)](https://shapash.readthedocs.io/en/latest/) +- Medium: [Towards AI](https://pub.towardsai.net/shapash-making-ml-models-understandable-by-everyone-8f96ad469eb3) +- Presentation video for french speakers: + +French Webinar

@@ -160,4 +164,4 @@ This github repository offers a lot of tutorials to allow you to start more conc - [Use **Lime** to compute local explanation, Summarize-it with **Shapash**](tutorial/explainer/tuto-expl02-Shapash-Viz-using-Lime-contributions.ipynb) ### Deploy local explainability in production -- [Deploy local explainability in production_with_SmartPredictor](tutorial/predictor/tuto-smartpredictor-introduction-to-SmartPredictor.ipynb) +- [Deploy local explainability in production_with_SmartPredictor](tutorial/predictor/tuto-smartpredictor-introduction-to-SmartPredictor.ipynb) \ No newline at end of file diff --git a/docs/_static/webinar_screenshot.png b/docs/_static/webinar_screenshot.png new file mode 100644 index 0000000000000000000000000000000000000000..592f342bb50f27ceffc1227f9331014527df819a GIT binary patch literal 125462 zcmeFZhgXx&vp7uo2o?l8qBQkmL7IZJ&_q;3s`MU}66rPcfQX6;f+7&95fMU>G1^VMdPqEw z_mi~AUjb)6sq?lP#{5)zIih=F`{d8GPvRhP7SAW?PZ^&N--%v7^r_^_>%X(&Ti=cy 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Ay8r+H literal 0 HcmV?d00001 diff --git a/docs/tutorials/tutorial01-Shapash-Overview-Launch-WebApp.rst b/docs/tutorials/tutorial01-Shapash-Overview-Launch-WebApp.rst index f4e65fe2..3563f18d 100644 --- a/docs/tutorials/tutorial01-Shapash-Overview-Launch-WebApp.rst +++ b/docs/tutorials/tutorial01-Shapash-Overview-Launch-WebApp.rst @@ -105,10 +105,6 @@ Model Fitting regressor = LGBMRegressor(n_estimators=200).fit(Xtrain,ytrain) -.. code:: ipython - - y_pred = pd.DataFrame(regressor.predict(Xtest),columns=['pred'],index=Xtest.index) - Understanding my model with shapash ----------------------------------- @@ -128,8 +124,7 @@ Declare and Compile SmartExplainer xpl.compile( x=Xtest, model=regressor, - preprocessing=encoder, # Optional: compile step can use inverse_transform method - y_pred=y_pred # Optional + preprocessing=encoder # Optional: compile step can use inverse_transform method ) diff --git a/setup.cfg b/setup.cfg index f65fae20..b0722a8e 100644 --- a/setup.cfg +++ b/setup.cfg @@ -1,5 +1,5 @@ [bumpversion] -current_version = 1.1.0 +current_version = 1.2.0 commit = True tag = True diff --git a/setup.py b/setup.py index 3b2365a9..aa29eae2 100644 --- a/setup.py +++ b/setup.py @@ -30,7 +30,7 @@ setup( name="shapash", # Replace with your own username - version="1.1.0", + version="1.2.0", python_requires='>3.5, < 3.9', url='https://github.com/MAIF/shapash', author="Yann Golhen, Sebastien Bidault, Yann Lagre, Maxime Gendre", diff --git a/shapash/__init__.py b/shapash/__init__.py index 1ef3283c..e62d833e 100644 --- a/shapash/__init__.py +++ b/shapash/__init__.py @@ -3,4 +3,4 @@ __author__ = """Yann Golhen, Yann Lagré, Sebastien Bidault, Maxime Gendre, Thomas Bouche, Johann Martin""" __email__ = 'yann.golhen@maif.fr, yann.lagre@maif.fr, sebabstien.bidault@maif.fr, maxime.gendre@maif.fr' -__version__ = '1.1.0' +__version__ = '1.2.0' diff --git a/tutorial/tutorial01-Shapash-Overview-Launch-WebApp.ipynb b/tutorial/tutorial01-Shapash-Overview-Launch-WebApp.ipynb index 2bb3e633..240f44b2 100644 --- a/tutorial/tutorial01-Shapash-Overview-Launch-WebApp.ipynb +++ b/tutorial/tutorial01-Shapash-Overview-Launch-WebApp.ipynb @@ -389,15 +389,6 @@ "regressor = LGBMRegressor(n_estimators=200).fit(Xtrain,ytrain)" ] }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "y_pred = pd.DataFrame(regressor.predict(Xtest),columns=['pred'],index=Xtest.index)" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -447,8 +438,7 @@ "xpl.compile(\n", " x=Xtest,\n", " model=regressor,\n", - " preprocessing=encoder, # Optional: compile step can use inverse_transform method\n", - " y_pred=y_pred # Optional\n", + " preprocessing=encoder # Optional: compile step can use inverse_transform method\n", ")" ] }, @@ -699,4 +689,4 @@ }, "nbformat": 4, "nbformat_minor": 4 -} \ No newline at end of file +} From 48c82530264d5c87451ebc677a186c6339babde9 Mon Sep 17 00:00:00 2001 From: Yann GOLHEN <41585787+yg79@users.noreply.github.com> Date: Wed, 10 Mar 2021 09:50:30 +0100 Subject: [PATCH 2/2] readme layout --- README.md | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 20553dc5..9d6d5fc0 100644 --- a/README.md +++ b/README.md @@ -21,8 +21,9 @@ Data Scientists can more easily understand their models and share their results. - Readthedocs: [![documentation badge](https://readthedocs.org/projects/shapash/badge/?version=latest)](https://shapash.readthedocs.io/en/latest/) - Medium: [Towards AI](https://pub.towardsai.net/shapash-making-ml-models-understandable-by-everyone-8f96ad469eb3) - Presentation video for french speakers: - -French Webinar +

+ French Webinar +



@@ -164,4 +165,4 @@ This github repository offers a lot of tutorials to allow you to start more conc - [Use **Lime** to compute local explanation, Summarize-it with **Shapash**](tutorial/explainer/tuto-expl02-Shapash-Viz-using-Lime-contributions.ipynb) ### Deploy local explainability in production -- [Deploy local explainability in production_with_SmartPredictor](tutorial/predictor/tuto-smartpredictor-introduction-to-SmartPredictor.ipynb) \ No newline at end of file +- [Deploy local explainability in production_with_SmartPredictor](tutorial/predictor/tuto-smartpredictor-introduction-to-SmartPredictor.ipynb)