petab_select.constants
Constants for the PEtab Select package.
Module Attributes
Methods that move through model space by taking steps away from some model. |
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Methods that require an initial model. |
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Virtual initial models can be used to initialize some initial model methods. |
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Methods that are compatible with a virtual initial model. |
Classes
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String literals for model selection criteria. |
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String literals for model selection methods. |
- class petab_select.constants.Criterion(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)[source]
String literals for model selection criteria.
- AIC = 'AIC'
The Akaike information criterion.
- AICC = 'AICc'
The corrected Akaike information criterion.
- BIC = 'BIC'
The Bayesian information criterion.
- LH = 'LH'
The likelihood.
- LLH = 'LLH'
The log-likelihood.
- NLLH = 'NLLH'
The negative log-likelihood.
- __init__(*args, **kwds)
- petab_select.constants.INITIAL_MODEL_METHODS = [<Method.BACKWARD: 'backward'>, <Method.FORWARD: 'forward'>, <Method.LATERAL: 'lateral'>]
Methods that require an initial model.
- class petab_select.constants.Method(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)[source]
String literals for model selection methods.
- BACKWARD = 'backward'
The backward stepwise method.
- BRUTE_FORCE = 'brute_force'
The brute-force method.
- FAMOS = 'famos'
The FAMoS method.
- FORWARD = 'forward'
The forward stepwise method.
- LATERAL = 'lateral'
The lateral, or swap, method.
- MOST_DISTANT = 'most_distant'
The jump-to-most-distant-model method.
- __init__(*args, **kwds)
- petab_select.constants.STEPWISE_METHODS = [<Method.BACKWARD: 'backward'>, <Method.FORWARD: 'forward'>, <Method.LATERAL: 'lateral'>]
Methods that move through model space by taking steps away from some model.
- petab_select.constants.VIRTUAL_INITIAL_MODEL = 'virtual_initial_model'
Virtual initial models can be used to initialize some initial model methods.
- petab_select.constants.VIRTUAL_INITIAL_MODEL_METHODS = [<Method.BACKWARD: 'backward'>, <Method.FORWARD: 'forward'>]
Methods that are compatible with a virtual initial model.