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Welcome to the SHAP documentation — SHAP latest …

SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allocation with local explanations using the classic Shapley values from game theory and their related extensions (see papers for details and citations). Install SHAP can be installed from either PyPI or conda-forge: pip install shap or …

Shap.readthedocs.io

Be careful when interpreting predictive models in search of causal ...

SHAP scatter plots show how changing the value of a feature impacts the model’s prediction of renewal probabilities. If the blue dots follow an increasing pattern, this means that the larger the feature, the higher is the model’s predicted renewal probability. [4]: shap. plots. scatter (shap_values, ylabel = "SHAP value \n (higher means more likely to renew)") Prediction tasks …

Shap.readthedocs.io

Welcome to Email To’s documentation! — Email To 0.1.0 …

Welcome to Email To’s documentation! Edit on GitHub; Welcome to Email To’s documentation! ¶ Contents: Email To. Features; Credits; Installation. Stable release; From sources; Usage; Contributing. Types of Contributions; Get Started! Pull Request Guidelines; Tips; Credits. Development Lead; Contributors; History. 0.1.0 (2017-09-27) Indices and tables¶ Index; …

Email-to.readthedocs.io

Welcome to TopShape’s documentation! — TopShape 1.0.0 …

Read the Docs v: latest . Versions latest stable v1.0.0 v0.2.0 v0.1.1 Downloads pdf htmlzip epub On Read the Docs

Topshape.readthedocs.io

Sign In | Read the Docs

Stay Updated. Blog; Sign up for our newsletter to get our latest blog updates delivered to your inbox weekly.

Readthedocs.org

Welcome to the SHAP documentation — SHAP latest …

Shap.readthedocs.io is based in San Francisco, according to alexa, shap.readthedocs.io doesn't have a global rank. Welcome to the SHAP documentation — SHAP latest documentation shap.readthedocs.io shap.readthedocs.io is based in San Francisco, according to alexa, shap.readthedocs.io doesn't have a global rank Open This Website . Hosted In: United …

Shap-readthedocs-io.votted.net

Missing explainers from shap.readthedocs.io #1941

It looks like there are a few of the explainers that are not showing up in the shap.readthedocs.io page, but they are in the source code. Specifically I was looking for KernelExplainer, which isn't on the documentation page, but does hav...

Github.com

Shap single plot — Orange3-Shap documentation

Description¶. In this widget, you can visualize the shap single prediction explanation plot.

Orange3-shap.readthedocs.io

Shap-lrjball.readthedocs.io Welcome to the SHAP Documentation …

Shap-lrjball.readthedocs.io registered under .IO top-level domain. Check other websites in .IO zone . The last verification results, performed on (April 28, 2021) shap-lrjball.readthedocs.io show that shap-lrjball.readthedocs.io has an expired SSL certificate issued by COMODO CA Limited (expired on October 19, 2021).

Webrate.org

SHAP Feature Importance — ExpyBox documentation

Create dialog for shap summary plot, i.e. feature importance based on Shapley values. Returns. None. Method parameters ¶ See shap parameters. Additional parameter: Sample size. Number of instances from train data to use for calculating mean shap value for each feature. Resources¶ SHAP paper. SHAP in IML book. Documentation of shap. Implementation (currently …

Expybox.readthedocs.io

Documentation by example for shap.plots.bar

Passing a matrix of SHAP values to the bar plot function creates a global feature importance plot, where the global importance of each feature is taken to be the mean absolute value for that feature over all the given samples. [5]: shap. plots. bar (shap_values) By default the bar plot only shows a maximum of ten bars, but this can be controlled with the max_display parameter: [6]: …

Shap.readthedocs.io

Index — Orange3-Shap documentation

Orange3-shap.readthedocs.io

Home - Read the Docs for Business

Read the Docs for Business simplifies the entire process of building and deploying developer documentation. With support for Sphinx and Mkdocs , you can integrate your code and user-facing documentation using the same tools. Create beautiful documentation easily with themes, and preview every commit with pull request previews .

Readthedocs.com

PyDriosm — PyDriosm 2.0.3 documentation

PyDriosm is an open-source tool for researchers/practitioners to easily download and read OpenStreetMap (OSM) data in popular file formats such as protocolbuffer ...

Pydriosm.readthedocs.io

interpret_community.shap.kernel_explainer module

Parameters: evaluation_examples (numpy.array or pandas.DataFrame or scipy.sparse.csr_matrix) – A matrix of feature vector examples (# examples x # features) on which to explain the model’s output.; sampling_policy (interpret_community.common.policy.SamplingPolicy) – Optional policy for sampling the …

Interpret-community.readthedocs.io

6. Use Shapash with Shap, Lime or ACV - shapash.readthedocs.io

6. Use Shapash with Shap, Lime or ACV. 6.1. Compute Contributions with Shap - Summarize them With Shapash; 6.2. Using Shapash with Lime explainer - Titanic; 6.3. ACV tutorial; 7. Generate a standalone report of your project; 8. Use …

Shapash.readthedocs.io

interpret_community.shap.gpu_kernel_explainer module

Parameters: sampling_policy (interpret_community.common.policy.SamplingPolicy) – Optional policy for sampling the evaluation examples.See documentation on SamplingPolicy for more information. include_local – Include the local explanations in the returned global explanation.If include_local is False, will stream the local explanations to aggregate to global.

Interpret-community.readthedocs.io

explainer.tabular.shap_tabular_explainer module — Contextual AI ...

Contextual-ai.readthedocs.io

pipelinex.extras.ops.shap_ops — PipelineX 0.7.4 documentation

Source code for pipelinex.extras.ops.shap_ops. import numpy as np import torch from torch.utils.data import DataLoader from.numpy_ops import to_channel_last_arr

Pipelinex.readthedocs.io

stereo.io.reader — stereopy v0.1 documentation

2021-03-05 · The parameter only takes effect when the value of data.bin_type is 'bins'.:param is_sparse: the matrix is sparse matrix if is_sparse is True else np.ndarray:param gene_list: restrict to this gene list:param region: restrict to this region, [minX, maxX, minY, maxY]:return: an object of StereoExpData. """ logger. info (f 'read_gef begin ...') if bin_type == 'cell_bins': from …

Stereopy.readthedocs.io

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