jaicore-ml 0.1.2 API

Packages

Package	Description
ai.libs.jaicore.ml
ai.libs.jaicore.ml.cache	Package to create ReproducibleInstances which can be stored and recreated if needed.
ai.libs.jaicore.ml.classification.multiclass
ai.libs.jaicore.ml.classification.multiclass.reduction
ai.libs.jaicore.ml.classification.multiclass.reduction.reducer
ai.libs.jaicore.ml.classification.multiclass.reduction.splitters
ai.libs.jaicore.ml.clustering
ai.libs.jaicore.ml.core
ai.libs.jaicore.ml.core.dataset	This package contains the infrastructure for representing datasets and instances with different types of attributes.
ai.libs.jaicore.ml.core.dataset.attribute	This package contains data structures for representing attributes of a dataset's instance.
ai.libs.jaicore.ml.core.dataset.attribute.categorical	This package contains the implementation of a categorical attribute.
ai.libs.jaicore.ml.core.dataset.attribute.multivalue	This package contains the implementation of a multi-value attribute.
ai.libs.jaicore.ml.core.dataset.attribute.primitive	This package contains the implementation of primitive data type attributes.
ai.libs.jaicore.ml.core.dataset.attribute.transformer
ai.libs.jaicore.ml.core.dataset.attribute.transformer.multivalue
ai.libs.jaicore.ml.core.dataset.sampling	This package contains algorithms for creating samples of a dataset.
ai.libs.jaicore.ml.core.dataset.sampling.infiles
ai.libs.jaicore.ml.core.dataset.sampling.infiles.stratified.sampling
ai.libs.jaicore.ml.core.dataset.sampling.inmemory
ai.libs.jaicore.ml.core.dataset.sampling.inmemory.casecontrol
ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories
ai.libs.jaicore.ml.core.dataset.sampling.inmemory.factories.interfaces
ai.libs.jaicore.ml.core.dataset.sampling.inmemory.stratified.sampling
ai.libs.jaicore.ml.core.dataset.standard	This package contains a straight-forward implementation of a dataset.
ai.libs.jaicore.ml.core.dataset.util
ai.libs.jaicore.ml.core.dataset.weka	This package contains classes for weka-specific logics regarding the dataset.
ai.libs.jaicore.ml.core.evaluation.measure
ai.libs.jaicore.ml.core.evaluation.measure.multilabel
ai.libs.jaicore.ml.core.evaluation.measure.singlelabel
ai.libs.jaicore.ml.core.exception	This package contains Exceptions defined by jaicore-ml.
ai.libs.jaicore.ml.core.predictivemodel	This package contains interfaces related to predictive models and learning algorithms.
ai.libs.jaicore.ml.evaluation
ai.libs.jaicore.ml.evaluation.evaluators.weka
ai.libs.jaicore.ml.evaluation.evaluators.weka.events
ai.libs.jaicore.ml.evaluation.evaluators.weka.factory
ai.libs.jaicore.ml.evaluation.evaluators.weka.splitevaluation
ai.libs.jaicore.ml.experiments
ai.libs.jaicore.ml.interfaces
ai.libs.jaicore.ml.learningcurve.extrapolation
ai.libs.jaicore.ml.learningcurve.extrapolation.client
ai.libs.jaicore.ml.learningcurve.extrapolation.ipl
ai.libs.jaicore.ml.learningcurve.extrapolation.lc
ai.libs.jaicore.ml.learningcurve.extrapolation.lcnet
ai.libs.jaicore.ml.metafeatures	Provides means of computing meta features for a data set.
ai.libs.jaicore.ml.openml
ai.libs.jaicore.ml.scikitwrapper
ai.libs.jaicore.ml.weka.dataset.splitter