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python3-scikit-monaco-0.2.1-1.lbn19.x86_64
scikitmonaco scikitmonaco is a library for Monte Carlo integration in
python.
The core is written in Cython, with processlevel parallelism
to squeeze the
last bits of speed out of the python interpreter.A code
snippet is worth a
thousand words. Let's look at integrating
sqrt(x**2 + y**2 + z**2) in the unit
square:.. code:: python >>>
from skmonaco import mcquad >>> from math
import sqrt ...
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python3-scikit-nano-0.3.21-1.lbn19.noarch
scikitnano *scikitnano* is a python toolkit for generating and
analyzing
nanostructure data.*scikitnano* can generate structure data
(i.e., atomic
coordinates) for the following classes of
nanostructures: * Fullerenes *
Graphene * *N*layer
graphene * Bilayer graphene with more fine
control over
relative layer orientation, including relative rotation
...
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python3-scikit-neuralnetwork-0.7-1.lbn19.noarch
:orphan:
scikit-neuralnetwork
====================
Deep neural network
implementation without the learning cliff! This library implements multi-layer
perceptrons as a wrapper for the powerful ``Lasagne`` library that's compatible
with ``scikit-learn`` for a more user-friendly and Pythonic interface.
**NOTE**: This project is possible thanks to the `nucl.ai Conference
<http://nucl.ai/>`_ on ...
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python3-scikit-sparse-0.3-1.lbn19.x86_64
Sparse matrix tools.This is a home for sparse matrix code in Python
that plays
well with scipy.sparse, but that is somehow unsuitable for
inclusion in scipy
proper. Usually this will be because it is released
under the GPL.So far we
have a wrapper for the CHOLMOD library for
sparse Cholesky decomposition.
Further contributions are welcome!
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python3-scikit-video-0.1.2-1.lbn19.noarch
Video Processing SciKitVideo processing algorithms for SciPy,
including IO,
quality metrics, filtering, etc.
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python3-scipy-0.16.1-6.lbn19.x86_64
Scipy is open-source software for mathematics, science, and
engineering. The core library is NumPy which provides convenient and
fast N-dimensional array manipulation. The SciPy library is built to
work with NumPy arrays, and provides many user-friendly and efficient
numerical routines such as routines for numerical integration and
optimization. Together, they run on all popular operating systems, are
quick to install, and are free of charge. NumPy and SciPy are easy to
use, but powerful enough to be depended upon by some of the world's
leading scientists and engineers.
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python3-sklearn-compiledtrees-1.2-1.lbn19.x86_64
In some use cases, predicting given a model is in the hot-path, so speeding up decision tree evaluation is very useful.
An effective way of speeding up evaluation of decision trees can be to generate code representing the evaluation of the tree, compile that to optimized object code, and dynamically load that file via dlopen/dlsym or equivalent.
See https://courses.cs.washington.edu/courses/cse501/10au/compile-machlearn.pdf for a detailed discussion, and http://tullo.ch/articles/decision-tree-evaluation/ for a more pedagogical explanation and more benchmarks in C++.
This package implements compiled decision tree evaluation for the simple case of a single-output regression tree or ensemble.
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python3-sklearn-contrib-lightning-0.3.0-1.lbn19.x86_64
.. * mode: rst *.. image::
https://travisci.org/scikitlearncontrib/lightning.svg?branchmaster
:target:
https://travisci.org/scikitlearncontrib/lightning.. image::
https://ci.appveyor.com/api/projects/status/mmm0llccmvn5iooq?svgtrue
:target:
https://ci.appveyor.com/project/fabianp/lightningbpc6r/branch
/masterlightning
lightning is a library for largescale linear
classification, regression and ...
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python3-sklearn-deap-0.1.3-1.lbn19.noarch
UNKNOWN
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python3-sklearn-pandas-1.1.0-1.lbn19.noarch
Sklearn-pandas
==============
This module provides a bridge between `Scikit-
Learn <http://scikit-learn.org/stable/>`__'s machine learning methods and
`pandas <http://pandas.pydata.org/>`__-style Data Frames.
In particular, it
provides:
1. A way to map ``DataFrame`` columns to transformations, which are
later recombined into features.
2. A way to cross-validate a pipeline that
takes a ...
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