Download JAR files tagged by extend with all dependencies

Multiple loosely coupled modules which extend ZK framework, originally created by DataLite company. ZKComposer - controll the MVC design with annotations @ZkEvent?, @ZkComponent?, @ZkBinding?, ... (similar to zkspring or zkcdi projects, however without any framework dependencies). ZKDLComponents splits ZK data driven components (listbox, combobox) to MVC design, adds support for easy large data manipulation and contains many pre-built user controls (filter manager, sort manager, visible listbox columns manager, export to excel, etc.) HibernateDAO & ZKDLComponentsHibernateExtensions - Hibernate generic DAO design with extensions for ZKDLComponents to replace all your plumbing code (filter, sort, lazy loading, CRUD). SpringService? - service layer with spring - generic service which speaks to generic DAO. This is the way we use our components at DataLite?, but you can use any integration or DAO at your will.

Multiple loosely coupled modules which extend ZK framework, originally created by DataLite company. ZKComposer - controll the MVC design with annotations @ZkEvent?, @ZkComponent?, @ZkBinding?, ... (similar to zkspring or zkcdi projects, however without any framework dependencies). ZKDLComponents splits ZK data driven components (listbox, combobox) to MVC design, adds support for easy large data manipulation and contains many pre-built user controls (filter manager, sort manager, visible listbox columns manager, export to excel, etc.) HibernateDAO & ZKDLComponentsHibernateExtensions - Hibernate generic DAO design with extensions for ZKDLComponents to replace all your plumbing code (filter, sort, lazy loading, CRUD). SpringService? - service layer with spring - generic service which speaks to generic DAO. This is the way we use our components at DataLite?, but you can use any integration or DAO at your will.

Performs a grid search of parameter pairs for the a classifier (Y-axis, default is LinearRegression with the "Ridge" parameter) and the PLSFilter (X-axis, "# of Components") and chooses the best pair found for the actual predicting. The initial grid is worked on with 2-fold CV to determine the values of the parameter pairs for the selected type of evaluation (e.g., accuracy). The best point in the grid is then taken and a 10-fold CV is performed with the adjacent parameter pairs. If a better pair is found, then this will act as new center and another 10-fold CV will be performed (kind of hill-climbing). This process is repeated until no better pair is found or the best pair is on the border of the grid. In case the best pair is on the border, one can let GridSearch automatically extend the grid and continue the search. Check out the properties 'gridIsExtendable' (option '-extend-grid') and 'maxGridExtensions' (option '-max-grid-extensions <num>'). GridSearch can handle doubles, integers (values are just cast to int) and booleans (0 is false, otherwise true). float, char and long are supported as well. The best filter/classifier setup can be accessed after the buildClassifier call via the getBestFilter/getBestClassifier methods. Note on the implementation: after the data has been passed through the filter, a default NumericCleaner filter is applied to the data in order to avoid numbers that are getting too small and might produce NaNs in other schemes.

XApi is a dependency injection, service-oriented, polyglot java framework. It is comprised of standalone modules for use in web, desktop and mobile java applications. This codebase enables complete reuse of all code across your java stack, as well as the ability to easily define your own Platform, so you can build your own customized runtime environment to extend or replace existing platforms. It is currently geared towards servlets and gwt clients, but the target we are currently developing include: java, gwt [webkit, firefox, ie], javafx, playn [android, ios, flash], appengine & vert.x For Google Web Toolkit, we also include reflection support, more complete emulation of java.lang.Class, zero-overhead dependency injection, a range of code generation utilities, and even "magic-method injection" (for production compiles any method in the app can be swapped out with others based on configuration properties, or any AST mangling / code generating methods you wish to write). There is also a bytecode transformer in the works which will replace calls into the DI utility with direct references to static final factories, to allow the java compiler to completely erase all injection overhead in all java runtimes.