| Name : python3-mdp
| |
| Version : 3.5
| Vendor : Fedora Project
|
| Release : 13.fc30
| Date : 2018-10-31 17:31:47
|
| Group : Unspecified
| Source RPM : python-mdp-3.5-13.fc30.src.rpm
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| Size : 2.65 MB
| |
| Packager : Fedora Project
| |
| Summary : Library for building data processing pipelines for machine learning
|
Description :
The Modular toolkit for Data Processing (MDP) package is a library of
widely used data processing algorithms, and the possibility to combine
them together to form pipelines for building more complex data
processing software. MDP has been designed to be used as-is and as a
framework for scientific data processing development.
From the user’s perspective, MDP consists of a collection of units,
which process data. For example, these include algorithms for
supervised and unsupervised learning, principal and independent
components analysis and classification. These units can be chained
into data processing flows, to create pipelines as well as more
complex feed-forward network architectures. Given a set of input data,
MDP takes care of training and executing all nodes in the network in
the correct order and passing intermediate data between the
nodes. This allows the user to specify complex algorithms as a series
of simpler data processing steps.
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RPM found in directory: /vol/rzm3/linux-fedora-buffet/alt/risc-v/repo/fedora/rawhide/25788/riscv64/Packages/p |
