ShogunMLToolbox
bCloud LLC · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
ShogunML Toolbox is a powerful, open-source machine learning library developed primarily in C++ and designed for building scalable and high-performance machine learning applications. It provides interfaces for Python, R, Java, Ruby, and MATLAB, enabling researchers and developers to implement advanced algorithms for classification, regression, clustering, dimensionality reduction, structured prediction, and kernel-based learning.
Features of ShogunML Toolbox:
Show the rest of the publisher’s description (14 more lines)
- Supports a wide range of machine learning algorithms including Support Vector Machines (SVMs), Kernel PCA, Gaussian Processes, k-Nearest Neighbors (kNN), linear models, clustering techniques, and more.
- Advanced kernel methods framework with support for custom kernel functions and multiple kernel learning (MKL).
- Multi-language bindings for Python, R, Java, Ruby, and MATLAB for flexible integration into different development environments.
- High-performance C++ core optimized for large-scale and computationally intensive machine learning tasks.
- Modular and extensible architecture suitable for research experiments and production-level ML systems.
- Efficient memory management and support for parallel computation.
- Comprehensive documentation and active open-source community support.
Check the version of Shogun:
$sudo su
$sudo apt update
$cd /opt/shogun
$source venv/bin/activate
$python -c "import shogun._version as v; print(v.__version__)"
Disclaimer: Shogun Machine Learning Toolbox is open-source software maintained by the community and contributors. It is provided "as is" without any warranty, express or implied. Users are responsible for proper configuration and usage within their machine learning workflows and should refer to the official documentation for accurate and up-to-date information.
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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