Download JAR files tagged by worth with all dependencies

Core utilities for the Worth Enterprises suite of software components.

A collection classes which I use over multiple projects and which are not worth for their own library.

Evaluates the worth of an attribute by computing the value of the chi-squared statistic with respect to the class.

A collection of command line tools that are useful for the Forge installer, that are not worth being their own standalone projects.

Evaluates the worth of an attribute by computing the Probabilistic Significance as a two-way function (attribute-classes and classes-attribute association). For more information see: Amir Ahmad, Lipika Dey (2004). A feature selection technique for classificatory analysis.

Evaluates the worth of an attribute by using an SVM classifier. Attributes are ranked by the square of the weight assigned by the SVM. Attribute selection for multiclass problems is handled by ranking attributes for each class seperately using a one-vs-all method and then "dealing" from the top of each pile to give a final ranking. For more information see: I. Guyon, J. Weston, S. Barnhill, V. Vapnik (2002). Gene selection for cancer classification using support vector machines. Machine Learning. 46:389-422.

The Shell Card Management API is REST-based and employs OAUTH 2.0,Basic and ApiKey authentication. The API endpoints accept JSON-encoded request bodies, return JSON-encoded responses and use standard HTTP response codes. All resources are located in the Shell Card Platform. The Shell Card Platform is the overall platform that encompasses all the internal Shell systems used to manage resources. The internal workings of the platform are not important when interacting with the API. However, it is worth noting that the platform uses a microservice architecture to communicate with various backend systems and some API calls are processed asynchronously. All endpoints use the POST verb for retrieving, updating, creating and deleting resources in the Shell Card Platform. The endpoints that retrieve resources from the Shell Card Platform allow flexible search parameters in the API request body.

Evaluates the worth of a subset of attributes by the level of consistency in the class values when the training instances are projected onto the subset of attributes. The consistency of any subset can never be lower than that of the full set of attributes, hence the usual practice is to use this subset evaluator in conjunction with a Random or Exhaustive search which looks for the smallest subset with consistency equal to that of the full set of attributes. See: H. Liu, R. Setiono: A probabilistic approach to feature selection - A filter solution. In: 13th International Conference on Machine Learning, 319-327, 1996.

MyDtt-Plus is a starter of spring-boot, It is an object-oriented Java framework that helps developers increase productivity, "Domain Driven Table" is the concept of DTT, It makes you focus more on domain objects rather than tables. Aims to make it easy to automatically create DB tables based on your Java model with annotation driven. It's also support the ability of create table automatically for MyBatis what Hibernate can do and optionally export SQL to local file，Each table can be added database name concat with table name and fully comments, It can work with ORM frameworks such as MyBatis-Plus and MyBatis with little learning and usage costs. It's worth mentioning that DTT can be MyBatis-Plus is integrated in a 0-code way, just like JPA. However, MyDtt-Plus and MyBatis-Plus may be easier to expand and use than JPA. In addition to supporting the functions of JPA, DDT provides multi-table associated SQL DDL based on MyBatis operation, DTT support databases server for MYSQL, ORACLE, DB2, SQLSERVER, MARIADB, POSTGRESQL and embedded database for H2, HSQL, DERBY.