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59491.
This package provides a subset of utilities related to PEAK, and commonly found as dependencies for PEAK-based components. In particular, this package provides:
Description
(no translation yet)
Located in Package: python-peak.util
59492.
* AddOns - dynamic mixins with private attribute and methods
* BytecodeAssembler - code object generation assembling bytecode
* Extremes - absolute max and min values (PEP 326 implementation)
* SymbolType - symbol type, i.e., enumerations
Description
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(no translation yet)
Located in Package: python-peak.util
59493.
version-agnostic decorators support for Python
Summary
(no translation yet)
Located in Package: python-peak.util.decorators
59494.
DecoratorTools provides decorator facilities for Python 2.3 and above. It provides class and function decorators as well as support for decorating arbitrary assignments, synchronized methods, and more.
Description
(no translation yet)
Located in Package: python-peak.util.decorators
59495.
DecoratorTools is part of the PEAK (Python Enterprise Architecture Kit) framework and provides the peak.util.decorators module.
Description
(no translation yet)
Located in Package: python-peak.util.decorators
59496.
Python Environment for Bayesian Learning
Summary
(no translation yet)
Located in Package: python-pebl
59497.
Pebl is a Python library and command line application for learning the structure of a Bayesian network given prior knowledge and observations. Pebl includes the following features:
* Can learn with observational and interventional data
* Handles missing values and hidden variables using exact and heuristic
methods
* Provides several learning algorithms; makes creating new ones simple
* Has facilities for transparent parallel execution using several
cluster/grid resources
* Calculates edge marginals and consensus networks
* Presents results in a variety of formats
Description
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Located in Package: python-pebl
59498.
Python Environment for Bayesian Learning - debug
Summary
(no translation yet)
Located in Package: python-pebl-dbg
59499.
Python Environment for Bayesian Learning - documentation
Summary
(no translation yet)
Located in Package: python-pebl-doc
59500.
Pebl is a Python library and command line application for learning the structure of a Bayesian network given prior knowledge and observations.
Description
(no translation yet)
Located in Package: python-pebl-doc Package: python-pebl-dbg
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