| Interface | Description |
|---|---|
| InstanceHandler |
Whether the generator can handle instances directly
for setting the parameters.
|
| Mean |
A interface indicating that a class expects the
mean and standard deviation to be set.
|
| NominalAttributeGenerator |
Used to indicate this generator can be used to generate
artificial instances for nominal attributes.
|
| NumericAttributeGenerator |
Used to indicate this generator can be used to generate
artificial instances for numeric attributes.
|
| Ranged |
An interface indicating that this generator
expect to be given a range of values to operate
within.
|
| Class | Description |
|---|---|
| DiscreteGenerator |
An artificial data generator that uses discrete buckets for values.
In this discrete generator, values are ranked according to how often they appear. |
| DiscreteUniformGenerator |
An artificial data generator that uses discrete buckets for values.
In this discrete uniform generator, all buckets are given the same probability, regardless of how many values fall into each bucket. |
| EMGenerator |
A generator that uses EM as an underlying model.
|
| GaussianGenerator |
An artificial data generator that uses a single
Gaussian distribution.
If a mixture of Gaussians is required, use the EM Generator. |
| Generator |
An artificial data generator.
|
| MixedGaussianGenerator |
A mixed Gaussian artificial data generator.
This generator only has two Gaussians, each sitting 3 standard deviations (by default) away from the mean of the main distribution. |
| NominalGenerator |
A generator for nominal attributes.
Generates artificial data for nominal attributes. |
| RandomizableDistributionGenerator |
An abstract superclass for randomizable generators that make use of mean and
standard deviation.
|
| RandomizableGenerator |
An abstract superclass for generators that use a seeded internal random
number generator.
|
| RandomizableRangedGenerator |
Abstract superclass for generators that take ranges and use a seeded random
number generator internally
|
| UniformDataGenerator |
A uniform artificial data generator.
This generator uses a uniform data model - all values have the same probability, and generated values must fall within the range given to the generator. |