Uses of Interface
adams.ml.model.Model

Packages that use Model

Package	Description
adams.ml.model
adams.ml.model.classification
adams.ml.model.clustering
adams.ml.model.regression

Uses of Model in adams.ml.model

Classes in adams.ml.model with type parameters of type Model

Modifier and Type	Interface	Description
interface	Algorithm<T extends Model>	Interface for machine learning algorithms.
interface	IncrementalAlgorithm<T extends Model>	Interface for incremental algorithms.

Methods in adams.ml.model with parameters of type Model

Modifier and Type	Method	Description
static String	ModelHelper.isCompatible(Model model, Dataset data)	Checks whether the model is compatible with the dataset.

Uses of Model in adams.ml.model.classification

Subinterfaces of Model in adams.ml.model.classification

Modifier and Type	Interface	Description
interface	ClassificationModel	Interface for classification models.
interface	MultiTargetClassificationModel	Interface for classification models.

Classes in adams.ml.model.classification that implement Model

Modifier and Type	Class	Description
class	WekaClassificationModel	Classification model for Weka classifiers.

Uses of Model in adams.ml.model.clustering

Subinterfaces of Model in adams.ml.model.clustering

Modifier and Type	Interface	Description
interface	ClusteringModel	Interface for clustering models.

Classes in adams.ml.model.clustering that implement Model

Modifier and Type	Class	Description
class	WekaClusteringModel	Clustering model for Weka classifiers.

Uses of Model in adams.ml.model.regression

Subinterfaces of Model in adams.ml.model.regression

Modifier and Type	Interface	Description
interface	MultiTargetRegressionModel	Interface for regression models.
interface	RegressionModel	Interface for regression models.

Classes in adams.ml.model.regression that implement Model

Modifier and Type	Class	Description
class	WekaRegressionModel	Regression model for Weka classifiers.