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Docker, Inc. is an American technology company that develops productivity tools built around Docker, which automates the deployment of code inside software containers. [1] [2] Major commercial products of the company are Docker Hub, a central repository of containers, and Docker Desktop, a GUI application for Windows and Mac to manage containers.
[4] [5] Originally designed by Google, the project is now maintained by a worldwide community of contributors, and the trademark is held by the Cloud Native Computing Foundation. The name Kubernetes originates from the Greek κυβερνήτης (kubernḗtēs), meaning 'governor', 'helmsman' or 'pilot'.
Docker is a set of platform as a service (PaaS) products that use OS-level virtualization to deliver software in packages called containers. [5] The service has both free and premium tiers. The software that hosts the containers is called Docker Engine. [6] It was first released in 2013 and is developed by Docker, Inc. [7]
Popular applications include: Caddy, a web server that automates the process of setting up HTTPS, [135] Docker, which provides a platform for containerization, aiming to ease the complexities of software development and deployment, [136] Kubernetes, which automates the deployment, scaling, and management of containerized applications, [137 ...
They tested the algorithm on Musk dataset, [4] [5] [dubious – discuss] which is a concrete test data of drug activity prediction and the most popularly used benchmark in multiple-instance learning. APR algorithm achieved the best result, but APR was designed with Musk data in mind. Problem of multi-instance learning is not unique to drug finding.
In the philosophy of mind, the phrase often refers to knowledge that can only be acquired through experience, such as, for example, the knowledge of what it is like to see colours, which could not be explained to someone born blind: the necessity of experiential knowledge becomes clear if one was asked to explain to a blind person a colour like blue.