| Package | Description |
|---|---|
| org.tribuo.classification.sgd.crf |
Provides an implementation of a linear chain CRF trained using Stochastic Gradient Descent.
|
| org.tribuo.classification.sgd.linear |
Provides an implementation of a classification linear model using Stochastic Gradient Descent.
|
| org.tribuo.common.sgd |
Provides the base classes for models trained with stochastic gradient descent.
|
| org.tribuo.math |
Contains the implementation of Tribuo's math library, it's gradient descent optimisers, kernels and a set of
math related utils.
|
| org.tribuo.math.optimisers |
Provides implementations of
StochasticGradientOptimiser. |
| Class and Description |
|---|
| Parameters
An interface to a
Tensor[] array which accepts updates to the parameters. |
| StochasticGradientOptimiser
Interface for gradient based optimisation methods.
|
| Class and Description |
|---|
| LinearParameters
A
Parameters for producing linear models. |
| StochasticGradientOptimiser
Interface for gradient based optimisation methods.
|
| Class and Description |
|---|
| FeedForwardParameters
A Parameters for models which make a single prediction like logistic regressions and neural networks.
|
| LinearParameters
A
Parameters for producing linear models. |
| StochasticGradientOptimiser
Interface for gradient based optimisation methods.
|
| Class and Description |
|---|
| FeedForwardParameters
A Parameters for models which make a single prediction like logistic regressions and neural networks.
|
| LinearParameters
A
Parameters for producing linear models. |
| Parameters
An interface to a
Tensor[] array which accepts updates to the parameters. |
| StochasticGradientOptimiser
Interface for gradient based optimisation methods.
|
| Class and Description |
|---|
| Parameters
An interface to a
Tensor[] array which accepts updates to the parameters. |
| StochasticGradientOptimiser
Interface for gradient based optimisation methods.
|
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