Uses of Interface
adams.ml.capabilities.CapabilitiesHandler

Packages that use CapabilitiesHandler

Package	Description
adams.ml.capabilities
adams.ml.model
adams.ml.model.classification
adams.ml.model.clustering
adams.ml.model.regression
adams.ml.preprocessing
adams.ml.preprocessing.supervised
adams.ml.preprocessing.unsupervised

Uses of CapabilitiesHandler in adams.ml.capabilities

Fields in adams.ml.capabilities declared as CapabilitiesHandler

Modifier and Type	Field	Description
protected CapabilitiesHandler	Capabilities.m_Owner	the owner.

Methods in adams.ml.capabilities that return CapabilitiesHandler

Modifier and Type	Method	Description
CapabilitiesHandler	Capabilities.getOwner()	Returns the owner of these capabilities.

Methods in adams.ml.capabilities with parameters of type CapabilitiesHandler

Modifier and Type	Method	Description
static Dataset	CapabilitiesHelper.adjust(Dataset data, CapabilitiesHandler handler)	Tries to adjust the dataset to the capabilities of the handler.
static String	CapabilitiesHelper.handles(CapabilitiesHandler handler, Dataset data)	Returns whether the capabilities handler handles the dataset.
void	Capabilities.setOwner(CapabilitiesHandler value)	Sets the owner of these capabilities.

Constructors in adams.ml.capabilities with parameters of type CapabilitiesHandler

Constructor	Description
Capabilities(CapabilitiesHandler owner)	Initializes the capabilities.

Uses of CapabilitiesHandler in adams.ml.model

Subinterfaces of CapabilitiesHandler in adams.ml.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.

Uses of CapabilitiesHandler in adams.ml.model.classification

Subinterfaces of CapabilitiesHandler in adams.ml.model.classification

Modifier and Type	Interface	Description
interface	Classifier	Interface for classification algorithms.
interface	IncrementalClassifier	Interface for incremental classification algorithms.
interface	IncrementalMultiTargetClassifier	Interface for incremental multi-target classification algorithms.
interface	MultiTargetClassifier	Interface for multi-target classification algorithms.

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

Modifier and Type	Class	Description
class	AbstractClassifier	Ancestor for classification algorithms.
class	AbstractMultiTargetClassifier	Ancestor for multi-target classification algorithms.
class	WekaClassifier	Wraps around a Weka classifier that handles nominal classes (= classification).

Uses of CapabilitiesHandler in adams.ml.model.clustering

Subinterfaces of CapabilitiesHandler in adams.ml.model.clustering

Modifier and Type	Interface	Description
interface	Clusterer	Interface for clustering algorithms.
interface	IncrementalClusterer	Interface for incremental cluster algorithms.

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

Modifier and Type	Class	Description
class	AbstractClusterer	Ancestor for clustering algorithms.
class	WekaClusterer	Wraps around a Weka clusterer.

Uses of CapabilitiesHandler in adams.ml.model.regression

Subinterfaces of CapabilitiesHandler in adams.ml.model.regression

Modifier and Type	Interface	Description
interface	IncrementalMultiTargetRegressor	Interface for incremental multi-target regression algorithms.
interface	IncrementalRegressor	Interface for incremental regression algorithms.
interface	MultiTargetRegressor	Interface for multi-target regression algorithms.
interface	Regressor	Interface for regression algorithms.

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

Modifier and Type	Class	Description
class	AbstractMultiTargetRegressor	Ancestor for regression algorithms.
class	AbstractRegressor	Ancestor for regression algorithms.
class	WekaRegressor	Wraps around a Weka classifier that handles numeric classes (= regression).

Uses of CapabilitiesHandler in adams.ml.preprocessing

Subinterfaces of CapabilitiesHandler in adams.ml.preprocessing

Modifier and Type	Interface	Description
interface	BatchFilter	Interface for filters that filter data in batches.
interface	ColumnSubsetFilter	Filter with column subset handling.
interface	Filter	Interface for filters.
interface	StreamFilter	Interface for filters that filter a data stream, i.e., row by row.

Classes in adams.ml.preprocessing that implement CapabilitiesHandler

Modifier and Type	Class	Description
class	AbstractBatchFilter	Ancestor for batch filters.
class	AbstractColumnSubsetBatchFilter	Ancestor for batch filters with column subset handling.
class	AbstractColumnSubsetFilter	Ancestor for filters.
class	AbstractColumnSubsetStreamFilter	Ancestor for stream filters with column subset handling.
class	AbstractFilter	Ancestor for filters.
class	AbstractStreamFilter	Ancestor for stream filters.

Uses of CapabilitiesHandler in adams.ml.preprocessing.supervised

Classes in adams.ml.preprocessing.supervised that implement CapabilitiesHandler

Modifier and Type	Class	Description
class	PLS

Uses of CapabilitiesHandler in adams.ml.preprocessing.unsupervised

Classes in adams.ml.preprocessing.unsupervised that implement CapabilitiesHandler

Modifier and Type	Class	Description
class	MultiBatch	Applies the specified filters sequentially.
class	MultiStream	Applies the specified filters sequentially.
class	PassThrough	Dummy, just passes through the data.
class	PCA	Performs principal components analysis.
class	SavitzkyGolay	A filter that applies Savitzky-Golay smoothing. For more information see: A.