Uses of Package
org.tribuo.common.sgd
Packages that use org.tribuo.common.sgd
Package
Description
Provides infrastructure for Stochastic Gradient Descent for classification problems.
Provides an implementation of a classification factorization machine using Stochastic Gradient Descent.
Provides an implementation of a classification linear model using Stochastic Gradient Descent.
Provides classification loss functions for Stochastic Gradient Descent.
Provides the base classes for models trained with stochastic gradient descent.
Provides infrastructure for Stochastic Gradient Descent for multi-label classification problems.
Provides an implementation of a multi-label classification factorization machine model using Stochastic Gradient Descent.
Provides an implementation of a multi-label classification linear model using Stochastic Gradient Descent.
Provides multi-label classification loss functions for Stochastic Gradient Descent.
Provides infrastructure for Stochastic Gradient Descent based regression models.
Provides an implementation of factorization machines for regression using Stochastic Gradient Descent.
Provides an implementation of linear regression using Stochastic Gradient Descent.
Provides regression loss functions for Stochastic Gradient Descent.
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Classes in org.tribuo.common.sgd used by org.tribuo.classification.sgdClassDescriptionAn interface for a loss function that can produce the loss and gradient incurred by a single prediction.
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Classes in org.tribuo.common.sgd used by org.tribuo.classification.sgd.fmClassDescriptionA quadratic factorization machine model trained using SGD.A trainer for a quadratic factorization machine model which uses SGD.A model trained using SGD.A trainer for a model which uses SGD.A
Parametersfor factorization machines.An interface for a loss function that can produce the loss and gradient incurred by a single prediction. -
Classes in org.tribuo.common.sgd used by org.tribuo.classification.sgd.linearClassDescriptionA linear model trained using SGD.A trainer for a linear model which uses SGD.A model trained using SGD.A trainer for a model which uses SGD.An interface for a loss function that can produce the loss and gradient incurred by a single prediction.
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Classes in org.tribuo.common.sgd used by org.tribuo.classification.sgd.objectivesClassDescriptionAn interface for a loss function that can produce the loss and gradient incurred by a single prediction.
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Classes in org.tribuo.common.sgd used by org.tribuo.common.sgdClassDescriptionA quadratic factorization machine model trained using SGD.A linear model trained using SGD.A model trained using SGD.A nominal tuple used to capture the prediction and the number of active features used by the model.A trainer for a model which uses SGD.A
Parametersfor factorization machines.An interface for a loss function that can produce the loss and gradient incurred by a single prediction. -
Classes in org.tribuo.common.sgd used by org.tribuo.multilabel.sgdClassDescriptionAn interface for a loss function that can produce the loss and gradient incurred by a single prediction.
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Classes in org.tribuo.common.sgd used by org.tribuo.multilabel.sgd.fmClassDescriptionA quadratic factorization machine model trained using SGD.A trainer for a quadratic factorization machine model which uses SGD.A model trained using SGD.A trainer for a model which uses SGD.A
Parametersfor factorization machines.An interface for a loss function that can produce the loss and gradient incurred by a single prediction. -
Classes in org.tribuo.common.sgd used by org.tribuo.multilabel.sgd.linearClassDescriptionA linear model trained using SGD.A trainer for a linear model which uses SGD.A model trained using SGD.A trainer for a model which uses SGD.An interface for a loss function that can produce the loss and gradient incurred by a single prediction.
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Classes in org.tribuo.common.sgd used by org.tribuo.multilabel.sgd.objectivesClassDescriptionAn interface for a loss function that can produce the loss and gradient incurred by a single prediction.
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Classes in org.tribuo.common.sgd used by org.tribuo.regression.sgdClassDescriptionAn interface for a loss function that can produce the loss and gradient incurred by a single prediction.
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Classes in org.tribuo.common.sgd used by org.tribuo.regression.sgd.fmClassDescriptionA quadratic factorization machine model trained using SGD.A trainer for a quadratic factorization machine model which uses SGD.A model trained using SGD.A trainer for a model which uses SGD.A
Parametersfor factorization machines.An interface for a loss function that can produce the loss and gradient incurred by a single prediction. -
Classes in org.tribuo.common.sgd used by org.tribuo.regression.sgd.linearClassDescriptionA linear model trained using SGD.A trainer for a linear model which uses SGD.A model trained using SGD.A trainer for a model which uses SGD.An interface for a loss function that can produce the loss and gradient incurred by a single prediction.
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Classes in org.tribuo.common.sgd used by org.tribuo.regression.sgd.objectivesClassDescriptionAn interface for a loss function that can produce the loss and gradient incurred by a single prediction.