Ecosyste.ms: Packages
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Top 4.0% dependent packages on conda-forge.org
Top 5.0% dependent repos on conda-forge.org
Top 2.1% forks on conda-forge.org
conda-forge.org : shap
SHAP (SHapley Additive exPlanations) is a unified approach to explain the output of any machine learning model. SHAP connects game theory with local explanations, uniting several previous methods and representing the only possible consistent and locally accurate additive feature attribution method based on expectations.
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purl: pkg:conda/shap
Keywords: deep-learning, explainability, gradient-boosting, interpretability, machine-learning, shap, shapley
License: MIT
Latest release: almost 2 years ago
First release: over 5 years ago
Dependent packages: 16
Dependent repositories: 51
Stars: 18,811 on GitHub
Forks: 2,835 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 24 days ago
mlflow 2.0.1
Open source platform for the machine learning lifecycle43 versions - Latest release: over 1 year ago - 9 dependent packages - 40 dependent repositories - 13,891 stars on GitHub
evalml-core 0.61.1
EvalML is an AutoML library written in python.58 versions - Latest release: over 1 year ago - 1 dependent package - 592 stars on GitHub
orange3-explain 0.6.1 💰
Orange3 Explain is an add-on for the Orange3 data mining suite. It provides extensions for explan...9 versions - Latest release: over 1 year ago - 4 stars on GitHub
mlflow-pipelines 1.30.0
Open source platform for the machine learning lifecycle3 versions - Latest release: over 1 year ago - 13,891 stars on GitHub
u8darts 0.22.0
A python library for user-friendly forecasting and anomaly detection on time series.18 versions - Latest release: over 1 year ago - 2 dependent packages - 1 dependent repositories - 5,568 stars on GitHub
fasttreeshap 0.1.2
Fast SHAP value computation for interpreting tree-based models1 version - Latest release: over 1 year ago - 386 stars on GitHub
mljar-supervised 0.11.3
The mljar-supervised is an Automated Machine Learning Python package that works with tabular data...5 versions - Latest release: over 1 year ago - 2,520 stars on GitHub
econml 0.13.1
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research p...9 versions - Latest release: over 1 year ago - 1 dependent repositories - 2,833 stars on GitHub
atom-ml 4.14.1
During the exploration phase of a machine learning project, a data scientist tries to find the op...16 versions - Latest release: almost 2 years ago - 118 stars on GitHub
causalml 0.12.3
<a href="https://github.com/uber/causalml"> <img src="https://raw.githubusercontent.com/uber/ca...1 version - Latest release: about 2 years ago - 1 dependent repositories - 3,867 stars on GitHub
hypergbm 0.2.5
HyperGBM is a full pipeline automated machine learning (AutoML) toolkit designed for tabular data...8 versions - Latest release: about 2 years ago - 257 stars on GitHub
explainerdashboard 0.3.8 💰
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" mach...22 versions - Latest release: about 2 years ago - 1 dependent package - 1,605 stars on GitHub
shapicant 0.4.0
Feature selection package based on SHAP and target permutation, for pandas and Spark4 versions - Latest release: over 2 years ago - 23 stars on GitHub
pydrift 0.2.15
How do we measure the degradation of a machine learning process? Why does the performance of our ...11 versions - Latest release: over 2 years ago - 32 stars on GitHub
tempeh 0.1.12
tempeh is a framework to TEst Machine learning PErformance exHaustively which includes tracking m...1 version - Latest release: almost 3 years ago - 1 dependent package - 16 stars on GitHub
evaml-core 0.12.2
An open source python library for automated feature engineering1 version - Latest release: over 3 years ago - 6,558 stars on GitHub