Package | Description |
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org.tribuo.classification |
Provides classes and infrastructure for multiclass classification problems.
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org.tribuo.classification.experiments |
Provides a set of main methods for interacting with classification tasks.
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org.tribuo.classification.mnb |
Provides an implementation of multinomial naive bayes (i.e., naive bayes for non-negative count data).
|
org.tribuo.clustering.kmeans |
Provides a multithreaded implementation of K-Means, with a
configurable distance function.
|
org.tribuo.data |
Provides classes for loading in data from disk, processing it into examples, and splitting datasets for
things like cross-validation and train-test splits.
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org.tribuo.regression.liblinear |
Provides an interface to liblinear for regression problems.
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org.tribuo.regression.rtree |
Provides an implementation of decision trees for regression problems.
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org.tribuo.regression.sgd |
Provides infrastructure for Stochastic Gradient Descent based regression models.
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org.tribuo.regression.slm |
Provides implementations of sparse linear regression using various forms of regularisation penalty.
|
org.tribuo.regression.xgboost |
Provides an interface to XGBoost for regression problems.
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Class and Description |
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DataOptions
Options for working with training and test data in a CLI.
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Class and Description |
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DataOptions
Options for working with training and test data in a CLI.
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DataOptions.InputFormat
The input formats supported by this options object.
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Class and Description |
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DataOptions
Options for working with training and test data in a CLI.
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Class and Description |
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DataOptions
Options for working with training and test data in a CLI.
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Class and Description |
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DataOptions
Options for working with training and test data in a CLI.
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DataOptions.Delimiter
The delimiters supported by CSV files in this options object.
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DataOptions.InputFormat
The input formats supported by this options object.
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Class and Description |
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DataOptions
Options for working with training and test data in a CLI.
|
Class and Description |
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DataOptions
Options for working with training and test data in a CLI.
|
Class and Description |
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DataOptions
Options for working with training and test data in a CLI.
|
Class and Description |
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DataOptions
Options for working with training and test data in a CLI.
|
Class and Description |
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DataOptions
Options for working with training and test data in a CLI.
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