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scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...
scikit-learn – extends SciPy with a host of machine learning models (classification, clustering, regression, etc.) Shogun (toolbox) – open-source, large-scale machine learning toolbox that provides several SVM (Support Vector Machine) implementations (like libSVM, SVMlight) under a common framework and interfaces to Octave, MATLAB, Python, R
The scikit-learn project started as scikits.learn, a Google Summer of Code project by David Cournapeau. After having worked for Silveregg, a SaaS Japanese company delivering recommendation systems for Japanese online retailers, [ 3 ] he worked for 6 years at Enthought , a scientific consulting company.
The Schools Interoperability Framework, Systems Interoperability Framework (UK), or SIF, is a data-sharing open specification for academic institutions from kindergarten through workforce. This specification is being used primarily in the United States, Canada, the UK, Australia, and New Zealand; however, it is increasingly being implemented in ...
The scikit-multiflow library is implemented under the open research principles and is currently distributed under the BSD 3-clause license. scikit-multiflow is mainly written in Python, and some core elements are written in Cython for performance. scikit-multiflow integrates with other Python libraries such as Matplotlib for plotting, scikit-learn for incremental learning methods [4 ...
The software to be evaluated is graded on a point scale in four categories: the area of technical, technological and user attributes; area of criteria evaluating the information, content and operation of the software; the area of criteria evaluating the information in terms of educational use, learning and recognition; the area of criteria ...
Information retrieval is the science [1] of searching for information in a document, searching for documents themselves, and also searching for the metadata that describes data, and for databases of texts, images or sounds. Automated information retrieval systems are used to reduce what has been called information overload. An IR system is a ...
The Performance Reporting and Information System (PRISM) is a data system which collects and disseminates performance measurement data for individuals receiving workforce services from the U.S. state of Oregon government. To help inform decision-making of educators, administrators, and policy makers for program and service delivery, PRISM ...