demo-explainx-with-sound.gif explain.py explain_video_img.png explainx_logo.png main.py main_page_banner.png pytest.py requirements.txt rf_starter_example.png run_only_first_time.py started_example.png README MI
InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand...
Grad-CAM computes the gradient of a differentiable output, for example class score, with respect to the convolutional features in the chosen layer. The gradients are pooled over space and time dimensions to find the neuron importance weights. These weights are then used to linearly combine the a...
Black-Box Model The DNN model for this example imitates an automotive lane keeping assist (LKA) system implemented using model predictive control (MPC). A vehicle (ego car) equipped with an LKA system has a sensor, such as camera, that measures the lateral deviation and relative yaw angle be...
When training simple models (like, for example, a logistic regression model), answering such questions can be trivial. But when a more performant model is necessary, like with a neural network, XAI techniques can give approximate answers for both the whole model and single predictions. ...
Given the decision of deep network for a piece of input data, the LIME technique calculates the importance of each feature of the input data with respect to the network output. The LIME technique approximates the behavior of a deep neural network using a simpler, more interpretable model, such...
This can be achieved with the help of a Partial Dependence Plot (PDP). Figure 2 : PDP/ICE in a nutshell. The table on the top left represents all the test data used to validate the black box model. In our example, the set S contains the feature f₃ and the set C contains fy ...
2. 2nd Example a. Homogeneity: A study to determine if the distribution of children that are immunized is the same between Town A and Town B. In this case, a random sample would be taken from each town, and a survey regarding its c...
Boxplots show the median, interquartile range, default whiskers, and outliers of parameter distributions. The results of a one-way ANOVA performed for every parameter are found above each boxplot. Source data are provided as a Source Data file. Full size image For each biogeographic region we...
4. Firms’ compliance choices with the regulation 5. The effect on tunneling 6. Pay versus explain 7. Additional analyses and discussion 8. Conclusion Appendix A. An example of online conference calls Appendix B. Variable definitions Appendix C. Classification of firms’ explanations and examples ...