Webb25 dec. 2024 · SHAP.initjs () SHAP.force_plot (explainer.expected_value [0], SHAP_values [0], X_test) Output: We can move the cursor to see the values in the output. Here I am just posting the picture of the output. Here we have used the force plot to … Webb27 dec. 2024 · Apart from @Sarah answer, the scale of SHAP values based on the discussion in this issue could transform via inverse_transform () as follows: x_scaler.inverse_transform (shap_values) 3. Based on Github the base value: The average model output over the training dataset has been passed Model Base value = 0.6427
Tutorial: Explainable Machine Learning with Python and SHAP
Webbshap.image_plot ¶. shap.image_plot. Plots SHAP values for image inputs. List of arrays of SHAP values. Each array has the shap (# samples x width x height x channels), and the length of the list is equal to the number of model outputs that are being explained. Matrix of pixel values (# samples x width x height x channels) for each image. Webb21 mars 2024 · I have two different force_plot parameters I can provide the following: shap.force_plot (explainer.expected_value [0], shap_values [0], choosen_instance, … candyland hole in one guide
shap.image_plot — SHAP latest documentation - Read the Docs
WebbThe force plot above the text is designed to provide an overview of how all the parts of the text combine to produce the model’s output. See the `force plot <>`__ notebook for more details, but the general structure of the plot is positive red features “pushing” the model output higher while negative blue features “push” the model output lower. Webb20 mars 2024 · 1 Answer Sorted by: 8 You should change the last line to this : shap.force_plot (explainer.expected_value, shap_values.values [0:5,:],X.iloc [0:5,:], plot_cmap="DrDb") by calling shap_values.values instead of just shap_values, because shap_values holds the shapley values, the base_values and the data . WebbBaby Shap solely implements and maintains the Linear and Kernel Explainer and a limited range of plots, while limiting the number of dependencies, conflicts and raised warnings and errors. Install. Baby SHAP can be installed from either PyPI: pip install baby-shap Model agnostic example with KernelExplainer (explains any function) fish wagon delivery schedule