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Document Object Model (DOM) The official W3C definition of the DOM. "The Java Object Model" The Ruby Object Model: Data Structure in Detail; Object Membership: The core structure of object-oriented programming; Object Model Features Matrix A "representative sample of the design space of object models" (sense 1). ASCOM Standards web site
Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.
The Python Package Index, abbreviated as PyPI (/ ˌ p aɪ p i ˈ aɪ /) and also known as the Cheese Shop (a reference to the Monty Python's Flying Circus sketch "Cheese Shop"), [2]: 8 [3]: 742 is the official third-party software repository for Python. [4] It is analogous to the CPAN repository for Perl [5]: 36 and to the CRAN repository for R.
A Java package organizes Java classes into namespaces, [1] providing a unique namespace for each type it contains. Classes in the same package can access each other's package-private and protected members. In general, a package can contain the following kinds of types: classes, interfaces, enumerations, records and annotation types. A package ...
Excalibur: Java inversion of control framework including containers and components; Falcon: data governance engine; Forrest: documentation framework based upon Cocoon; Giraph: scalable Graph Processing System; Hama: Hama is an efficient and scalable general-purpose BSP computing engine; Harmony: Java SE 5 and 6 runtime and development kit
AutoDifferentiation is the process of automatically calculating the gradient vector of a model with respect to each of its parameters. With this feature, TensorFlow can automatically compute the gradients for the parameters in a model, which is useful to algorithms such as backpropagation which require gradients to optimize performance. [34]
Besides neural networks, PMML allows for the representation of many other types of models including support vector machines, association rules, Naive Bayes classifier, clustering models, text models, decision trees, and different regression models. Mining Schema: a list of all fields used in the model. This can be a subset of the fields as ...
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