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Getting Started
API Reference
interpret.glassbox
ExplainableBoostingClassifier
ExplainableBoostingRegressor
APLRRegressor
APLRClassifier
LogisticRegression
LinearRegression
ClassificationTree
RegressionTree
merge_ebms
interpret.blackbox
ShapKernel
LimeTabular
PartialDependence
MorrisSensitivity
interpret.greybox
ShapTree
interpret.perf
RegressionPerf
ROC
PR
interpret.data
ClassHistogram
Marginal
interpret.privacy
DPExplainableBoostingClassifier
DPExplainableBoostingRegressor
interpret.utils
link_func
inv_link
measure_interactions
purify
interpret.develop
debug_mode
show
show_link
set_show_addr
get_show_addr
preserve
shutdown_show_server
init_show_server
status_show_server
set_visualize_provider
get_visualize_provider
Algorithms
Glassbox Models
Explainable Boosting Machine
Automatic Piecewise Linear Regression (APLR)
Linear Model
Decision Tree
Blackbox Explainers
Shapley Additive Explanations
Local Interpretable Model-agnostic Explanations
Partial Dependence Plot
Morris Sensitivity Analysis
Differentially Private Models
Differentially Private EBMs
Hyperparameters
EBM internals
EBM Internals - Regression
EBM Internals - Binary classification
EBM Internals - Multiclass
Visualizations
Deployments
Development
Installation
Logging and Debugging
What the FAQ
Examples
Interpretable Classification
Interpretable Regression
Smoothing EBMs
Explain Blackbox Classifiers
Explain Blackbox Regressors
Merging EBMs
Custom Interactions
Differential Privacy
Group Importances
Prototype Selection
.md
.pdf
Development
Development
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