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This package contains several example programs of the usage of the Chips-n-Salsa library. Chips-n-Salsa is a Java library of customizable, hybridizable, iterative, parallel, stochastic, and self-adaptive local search algorithms. Chips-n-Salsa's source code is maintained on GitHub, and the prebuilt jars of the library can be imported from Maven Central using maven or other build tools. The purpose of the package chips-n-salsa-examples is to demonstrate usage of the major functionality of the Chips-n-Salsa library. You can find out more about the Chips-n-Salsa library itself from its website: https://chips-n-salsa.cicirello.org/.

Maximum Likelihood Rule Ensembles (MLRules) is a new rule induction algorithm for solving classification problems via probability estimation. The ensemble is built using boosting, by greedily minimizing the negative loglikelihood which results in estimating the class conditional probability distribution. The main advantage of decision rules is their simplicity and comprehensibility: they are logical statements of the form "if condition then decision", which is probably the easiest form of model to interpret. On the other hand, by exploiting a powerful statistical technique to induce the rules, the final ensemble has very high prediction accuracy. Fork of the original code located at: http://www.cs.put.poznan.pl/wkotlowski/software-mlrules.html

SmartCredentials is a programmer’s library, presenting a unified interface for various solutions and protocols used to authenticate, authorize and conduct any kind of transactions between a user or a user-facing app and services. It uses the abstraction of a credential, which can handily be made available to the user for choosing the right identity/ entitlement and authenticating themselves for appropriate security. On the ‘other end’ actual technological functions are structured in modules that can be ‘plugged’ in to the SmartCredentials core to extend and alter its behavior behind the unifying credentialing APIs.

This package contains several example programs of the usage of the JavaPermutationTools (JPT) library. JPT is a Java library that enables representing and generating permutations and sequences, as well as performing computation on permutations and sequences. It includes implementations of a variety of permutation distance metrics as well as distance metrics on sequences (i.e., Strings, arrays, and other ordered data types). In addition to programs demonstrating the usage of the JPT library, the jpt-examples package also contains programs for replicating the experiments from a few published papers that utilized the library or implementations on which the library is based. JPT's source code is maintained on GitHub, and the prebuilt jars of the library can be imported from Maven Central using maven or other build tools. The purpose of the package jpt-examples is to demonstrate usage of the major functionality of the JPT library. You can find out more about the JPT library itself from its website: https://jpt.cicirello.org/.

In brewing, mashing passes raw ingredients through hot water to activate, hydrate, and convert them for fermentation. Mash, the open source project, takes raw data payloads and provides a generic mediation process to translate the payloads into a new output. This allows configuration-driven mediation to be plugged into your application, which is especially important when dealing with ad-hoc tweaks that need to occur to payloads to add, remove, or alter them to conform to changing service payloads to/from other systems.