Plotly

2021

Citations in the corpus

• InterpretML: A Unified Framework for Machine Learning Interpretability (2019, background): “(Pedregosa et al., 2011), plotly (Plotly, 2015), lime (Ribeiro et al., 2016), shap (Lundberg and Lee, 2017), SALib (Herman and Usher, 2017), partial dependence (Friedman, 2001), Jupyter (Kluyver et al., 2016), pandas (McKinney), and more.”