Java библиотеки

Последняя версия: 0.4.0

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Последняя версия: 0.4.0

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Последняя версия: 1.3.0

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Geomajas Geometry core

org.geomajas.project : geomajas-project-geometry-core

Geomajas Geometry Core: Defines a DTO geometry model that is GWT compatible.

Последняя версия: 1.3.0

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Geomajas Geometry Project

org.geomajas.project : geomajas-project-geometry-all

Geomajas Geometry project. The geometry definition in here is meant as a Data Transfer Object, so be used in combination with a service. The service is based upon the feature specification for SQL. Geomajas is a component framework for building rich Internet applications (RIA) with sophisticated capabilities for the display, analysis and management of geographic information. It is a building block that allows developers to add maps and other geographic data capabilities to their web applications.

Последняя версия: 1.3.0

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denormalize

nz.ac.waikato.cms.weka : denormalize

An instance filter that collapses instances with a common grouping ID value into a single instance. Useful for converting transactional data into a format that Weka's association rule learners can handle. IMPORTANT: assumes that the incoming batch of instances has been sorted on the grouping attribute. The values of nominal attributes are converted to indicator attributes. These can be either binary (with f and t values) or unary with missing values used to indicate absence. The later is Weka's old market basket format, which is useful for Apriori. Numeric attributes can be aggregated within groups by computing the average, sum, minimum or maximum.

Последняя версия: 1.0.3

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Последняя версия: 1.0.0-M2

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Последняя версия: 1.0.0-M2

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Последняя версия: 1.0.0-M2

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Последняя версия: 1.0.0-M2

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Geomajas SLD editor project

org.geomajas.project : geomajas-project-sld-editor-all

Geomajas is a component framework for building rich Internet applications (RIA) with sophisticated capabilities for the display, analysis and management of geographic information. It is a building block that allows developers to add maps and other geographic data capabilities to their web applications. The SLD project is a standalone project that implements a communication, editing and persistence library for SLD (Styled Layer Descriptor) styles.

Последняя версия: 1.0.0-M2

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executor

org.goduun : executor

A java concurrent framework.

Последняя версия: 1.0.6

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Последняя версия: 2.8

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dagging

nz.ac.waikato.cms.weka : dagging

This meta classifier creates a number of disjoint, stratified folds out of the data and feeds each chunk of data to a copy of the supplied base classifier. Predictions are made via majority vote, since all the generated base classifiers are put into the Vote meta classifier. Useful for base classifiers that are quadratic or worse in time behavior, regarding number of instances in the training data. For more information, see: Ting, K. M., Witten, I. H.: Stacking Bagged and Dagged Models. In: Fourteenth international Conference on Machine Learning, San Francisco, CA, 367-375, 1997.

Последняя версия: 1.0.3

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costSensitiveAttributeSelection

nz.ac.waikato.cms.weka : costSensitiveAttributeSelection

This package provides two meta attribute selection evaluators - one for performing cost-sensitive attribute evaluation (CostSensitiveAttributeEval) and a second for performing cost-sensitive subset evaluation (CostSensitiveSubsetEval). Both methods take a cost matrix and a base evaluator. If the base evaluator can handle instance weights, then the training data is weighted according to the cost matrix, otherwise the training data is sampled according to the cost matrix.

Последняя версия: 1.0.3

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conjunctiveRule

nz.ac.waikato.cms.weka : conjunctiveRule

This class implements a single conjunctive rule learner that can predict for numeric and nominal class labels. A rule consists of antecedents "AND"ed together and the consequent (class value) for the classification/regression. In this case, the consequent is the distribution of the available classes (or mean for a numeric value) in the dataset. If the test instance is not covered by this rule, then it's predicted using the default class distributions/value of the data not covered by the rule in the training data.This learner selects an antecedent by computing the Information Gain of each antecendent and prunes the generated rule using Reduced Error Prunning (REP) or simple pre-pruning based on the number of antecedents. For classification, the Information of one antecedent is the weighted average of the entropies of both the data covered and not covered by the rule. For regression, the Information is the weighted average of the mean-squared errors of both the data covered and not covered by the rule. In pruning, weighted average of the accuracy rates on the pruning data is used for classification while the weighted average of the mean-squared errors on the pruning data is used for regression.

Последняя версия: 1.0.4

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Последняя версия: 1.0

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complementNaiveBayes

nz.ac.waikato.cms.weka : complementNaiveBayes

Class for building and using a Complement class Naive Bayes classifier. For more information see: Jason D. Rennie, Lawrence Shih, Jaime Teevan, David R. Karger: Tackling the Poor Assumptions of Naive Bayes Text Classifiers. In: ICML, 616-623, 2003. P.S.: TF, IDF and length normalization transforms, as described in the paper, can be performed through weka.filters.unsupervised.StringToWordVector.

Последняя версия: 1.0.3

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stateless-future-akka

com.qifun : stateless-future-akka_2.11

The ultimate control flow solution for Akka.

Последняя версия: 0.1.1

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stateless-future-akka

com.qifun : stateless-future-akka_2.10

The ultimate control flow solution for Akka.

Последняя версия: 0.1.1

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Calrissian Accumulo Recipes Metrics Store

org.calrissian.accumulorecipes : metrics-store

The metrics store rolls up counts and statistics for various units of time for different components.

Последняя версия: 0.1

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Последняя версия: 0.0.1

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Последняя версия: 0.0.1

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Mango Accumulo

org.calrissian.mango : mango-accumulo

Provides common reusable Accumulo utilities.

Последняя версия: 1.1.0

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batman.js

org.webjars : batmanjs

WebJar for batman.js

Последняя версия: 0.15.0

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enml4j

com.syncthemall : enml4j

Simple utility classes to handle ENML (Evernote Markup Language) in Java

Последняя версия: 1.1.0

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Последняя версия: 0.0.1-rc1

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Последняя версия: 3.3

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Последняя версия: 3.2

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Последняя версия: 1.2.1

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AutoFixtureGenerator

com.github.autofixture : AutoFixtureGenerator

An attempt to reimplement core features of a popular .NET anonymous value generator - AutoFixture - in Java

Последняя версия: 0.6.2

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streamql

org.deephacks.streamql : streamql

Predicate and ordering for java.util.stream.Stream using a minimal query language.

Последняя версия: 0.5.8

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JSONConf

com.github.detro : jsonconf

JSON based configuration utility with some cool features

Последняя версия: 0.0.6

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simplespec for Scala 2.11.0

com.simple : simplespec_2.11.0

simplespec is a thin Scala wrapper over JUnit, featuring Hamcrest matchers, easy mocks, and literate test descriptions.

Последняя версия: 0.8.4

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Mail Blog

org.vesalainen.mailblog : mailblog

Google Appengine application for blog site. Blog authoring is done by sending email. The same appengine site can run several blog-sites using different namespaces.

Последняя версия: 1.0.1

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Последняя версия: 1.0.0

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NMEA Parser

org.vesalainen.lpg : NMEAParser

NMEA Parser parses NMEA (including AIS) messages.

Последняя версия: 0.0.1

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Последняя версия: 1.1.0

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Последняя версия: 4.0.4

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Последняя версия: 0.7.15

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Последняя версия: 0.7.15

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Последняя версия: 0.7.15

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Последняя версия: 0.7.15

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Последняя версия: 0.7.15

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Последняя версия: 0.7.15

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Последняя версия: 0.7.15

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OPS4J Pax Wicket :: Samples :: Service :: Alternative

org.ops4j.pax.wicket.samples.service : pax-wicket-samples-service-alternative

Pax Wicket Samples Departmentstore - Alternative implementation of the business logic.

Последняя версия: 0.7.15

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OPS4J Pax Wicket :: Samples :: Service :: Basic

org.ops4j.pax.wicket.samples.service : pax-wicket-samples-service-basic

Pax Wicket Samples Departmentstore - Basic implementation of the business logic.

Последняя версия: 0.7.15

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