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EXPEKCTATION
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Preprocessing Data
Tabular
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Decision Tree
Random Forest
Boosted Trees
Training Models
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Explainer Principles
Concepts
Theories
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Time Limit
Explaining Classification
Decision Trees
Direct Reason
Sufficient Reason
Coverage Reason
Contrastive Reason
Random Forests
Direct Reason
Sufficient Reason
Majoritary Reason
Coverage Reason
Contrastive Reason
Boosted Trees
Direct Reason
Sufficient Reason
Tree Specific Reason
Coverage Reason
Contrastive Reason
Explaining Regression
Boosted Trees
Direct Reason
Tree Specific Reason
Visualisation of Explanations
Without GUI
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Rectification
Boosted Trees
Decision Tree
Random Forest
API
Modules
Builder
Learning
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Classes
Learner
LearnerInformation
preprocessor
Scikitlearn
Generic
Xgboost
LightGBM
TabularPreprocessor
NonTabularPreprocessor
ModelIO
Explainer
ExplainerDT
ExplainerRF
ExplainerBT
ExplainerRegressionBT
Visualisation
binaryMapping
baseModel
LeafNode
DecisionNode
DecisionTree
RandomForest
BoostedTrees
treeEnsembles
BoostedTreesRegression
PyXAI on GitHub
test
This section groups the API.
Table of contents
Modules
Classes