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Identical to the OpenJDK8 compiler, except that it gets bug fixes faster than the OpenJDK compiler, and it supports annotations in comments

A port of Typesafe's config library to build with maven until they get it into maven central. It is identical code to the same versions of com.typesafe.config:config

The Normalizer module merges identical anonymous class definitions into a single type, thereby "normalizing" them and reducing their collective footprint on your archive and more importantly on your JVM.

The Normalizer module merges identical anonymous class definitions into a single type, thereby "normalizing" them and reducing their collective footprint on your archive and more importantly on your JVM.

checker-qual-android contains annotations (type qualifiers) that a programmer writes to specify Java code for type-checking by the Checker Framework. The checker-qual-android artifact is identical to the checker-qual artifact, except that in checker-qual-android annotations have classfile retention. The default Android Gradle plugin retains types annotated with runtime annotations in the main dex, but strips out class-retention annotations.

checker-qual-android contains annotations (type qualifiers) that a programmer writes to specify Java code for type-checking by the Checker Framework. The checker-qual-android artifact is identical to the checker-qual artifact, except that in checker-qual-android annotations have classfile retention. The default Android Gradle plugin retains types annotated with runtime annotations in the main dex, but strips out class-retention annotations.

This package contains a classifier that can be used to train a two-class kernel logistic regression model with the kernel functions that are available in WEKA. It optimises the negative log-likelihood with a quadratic penalty. Both, BFGS and conjugate gradient descent, are available as optimisation methods, but the former is normally faster. It is possible to use multiple threads, but the speed-up is generally very marginal when used with BFGS optimisation. With conjugate gradient descent optimisation, greater speed-ups can be achieved when using multiple threads. With the default kernel, the dot product kernel, this method produces results that are close to identical to those obtained using standard logistic regression in WEKA, provided a sufficiently large value for the parameter determining the size of the quadratic penalty is used in both cases.

The ServiceMix Drools component provides JBI integration to the Drools Rules Engine. It can be used to deploy a rules set that will implement a router or an actual service. A router will mostly act as a transparent proxy between the consumer and the target service provider mad will mostly be implemented by the jbi.route(uri) method below. This method creates a new exchange identical to the one received by the component and will send it to the specified destination. You can also send back a Fault if needed. A router can also be implemented by using directly the JBI Apis (available with the jbi helper) by using the provided client.