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superglm

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Tutorials
How-to guides
Explanation
API reference
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PyPI

Get started
Tutorials
How-to guides
Explanation
API reference
Governance
Development

GitHub
PyPI

Section Navigation

SuperGLM
SuperLSS
Features
Families and links
Penalties
Inference results
Validation and diagnostics
Plotting
- plot_term_comparison
Export
- export_rating_tables
scikit-learn wrappers
- SuperGLMRegressor
- SuperGLMClassifier
Statistical helpers
Model editor
Warnings and exceptions
Internals

API reference
Warnings and exceptions
PriorWeightLatticeWarning

PriorWeightLatticeWarning#

exception superglm.PriorWeightLatticeWarning#

Bases: UserWarning

A counting response or binomial weight lacks an exact probability law.

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FractionalFrequencyWeightWarning

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Internals

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PriorWeightLatticeWarning

© Copyright 2026, Max Hicks.