Uses of Class
org.tribuo.MutableDataset

Packages that use MutableDataset

Package	Description
org.tribuo	Provides the core interfaces and classes for using Tribuo.
org.tribuo.anomaly.example	Provides anomaly data generators used for demos and testing implementations.
org.tribuo.clustering.example	Provides clustering data generators used for demos and testing implementations.
org.tribuo.data.csv	Provides classes which can load columnar data (using a RowProcessor) from a CSV (or other character delimited format) file.
org.tribuo.multilabel.example	Provides a multi-label data generator for testing implementations and a configurable data source suitable for demos and tests.
org.tribuo.regression.example	Provides some example regression data generators for testing implementations.
org.tribuo.transform	Provides infrastructure for applying transformations to a Dataset.

Uses of MutableDataset in org.tribuo

Methods in org.tribuo that return MutableDataset

Modifier and Type	Method	Description
static <T extends Output<T>> MutableDataset<T>	MutableDataset.createDeepCopy(Dataset<T> other)	Creates a deep copy of the supplied Dataset which is mutable.
static MutableDataset<?>	MutableDataset.deserializeFromProto(int version, String className, com.google.protobuf.Any message)	Deserialization factory.

Uses of MutableDataset in org.tribuo.anomaly.example

Methods in org.tribuo.anomaly.example that return MutableDataset

Modifier and Type	Method	Description
static MutableDataset<Event>	GaussianAnomalyDataSource.generateDataset(int numSamples, double[] expectedMeans, double[] expectedVariances, double[] anomalousMeans, double[] anomalousVariances, float fractionAnomalous, long seed)	Generates an anomaly detection dataset sampling each feature uniformly from a univariate Gaussian.

Uses of MutableDataset in org.tribuo.clustering.example

Methods in org.tribuo.clustering.example that return MutableDataset

Modifier and Type	Method	Description
static MutableDataset<ClusterID>	GaussianClusterDataSource.generateDataset(int numSamples, double[] mixingDistribution, double[] firstMean, double[] firstVariance, double[] secondMean, double[] secondVariance, double[] thirdMean, double[] thirdVariance, double[] fourthMean, double[] fourthVariance, double[] fifthMean, double[] fifthVariance, long seed)	Generates a clustering dataset drawn from a mixture of 5 Gaussians.

Uses of MutableDataset in org.tribuo.data.csv

Methods in org.tribuo.data.csv that return MutableDataset

Modifier and Type	Method	Description
MutableDataset<T>	CSVLoader.load(Path csvPath, String responseName)	Loads a DataSource from the specified csv file then wraps it in a dataset.
MutableDataset<T>	CSVLoader.load(Path csvPath, String responseName, String[] header)	Loads a DataSource from the specified csv file then wraps it in a dataset.
MutableDataset<T>	CSVLoader.load(Path csvPath, Set<String> responseNames)	Loads a DataSource from the specified csv file then wraps it in a dataset.
MutableDataset<T>	CSVLoader.load(Path csvPath, Set<String> responseNames, String[] header)	Loads a DataSource from the specified csv file then wraps it in a dataset.

Uses of MutableDataset in org.tribuo.multilabel.example

Methods in org.tribuo.multilabel.example that return MutableDataset

Modifier and Type	Method	Description
static MutableDataset<MultiLabel>	MultiLabelGaussianDataSource.generateDataset(int numSamples, float[] yZeroWeights, float[] yOneWeights, float[] yTwoWeights, float[] threshold, boolean[] negate, float variance, float[] xMin, float[] xMax, long seed)	Generates a multi-label output drawn from three gaussian functions.

Uses of MutableDataset in org.tribuo.regression.example

Methods in org.tribuo.regression.example that return MutableDataset

Modifier and Type	Method	Description
static MutableDataset<Regressor>	GaussianDataSource.generateDataset(int numSamples, float slope, float intercept, float variance, float xMin, float xMax, long seed)	Generates a single dimensional output drawn from N(slope*x + intercept,variance).
static MutableDataset<Regressor>	NonlinearGaussianDataSource.generateDataset(int numSamples, float[] weights, float intercept, float variance, float xZeroMin, float xZeroMax, float xOneMin, float xOneMax, long seed)	Generates a single dimensional output drawn from N(w_0*x_0 + w_1*x_1 + w_2*x_1*x_0 + w_3*x_1*x_1*x_1 + intercept,variance).

Uses of MutableDataset in org.tribuo.transform

Methods in org.tribuo.transform that return MutableDataset

Modifier and Type	Method	Description
<T extends Output<T>> MutableDataset<T>	TransformerMap.transformDataset(Dataset<T> dataset)	Copies the supplied dataset and applies the transformers to each example in it.
<T extends Output<T>> MutableDataset<T>	TransformerMap.transformDataset(Dataset<T> dataset, boolean densify)	Copies the supplied dataset and applies the transformers to each example in it.