deb_control_files:
- control
- md5sums
deb_fields:
Architecture: all
Built-Using: alabaster (= 0.7.16-0.1), sphinx (= 7.4.7-4)
Depends: libjs-sphinxdoc (>= 7.4)
Description: |-
Constrained nonlinear optimization (documentation)
The mystic framework provides a collection of optimization algorithms
and tools that allows the user to more robustly (and easily) solve
hard optimization problems for machine learning, uncertainty
quantification and AI. mystic gives the user fine-grained power to
both monitor and steer optimizations as the fit processes are
running. Users can customize optimizer stop conditions, where both
compound and user-provided conditions may be used. Optimizers can
save state, can be reconfigured dynamically, and can be restarted
from a saved solver or from a results file. All solvers can also
leverage parallel computing, either within each iteration or as an
ensemble of solvers.
.
mystic provides a stock set of configurable, controllable solvers
with:
* a common interface
* a control handler with: pause, continue, exit, and callback
* ease in selecting initial population conditions: guess, random, etc
* ease in checkpointing and restarting from a log or saved state
* the ability to leverage parallel & distributed computing
* the ability to apply a selection of logging and/or verbose monitors
* the ability to configure solver-independent termination conditions
* the ability to impose custom and user-defined penalties and constraints
.
mystic is part of pathos, a Python framework for heterogeneous computing.
.
This package contains the mystic documentation in HTML format.
Homepage: https://github.com/uqfoundation/mystic
Installed-Size: '2847'
Maintainer: Debian Python Team <team+python@tracker.debian.org>
Package: python-mystic-doc
Priority: optional
Recommends: python3-mystic
Section: doc
Source: mystic
Version: 0.4.3-2
srcpkg_name: mystic
srcpkg_version: 0.4.3-2