Randomly, but reproducably, create a series of examples. These examples could then be classified with some known model and used as a synthetic dataset to test a learner. This uses the RandomSetState() functions so that it will produce the same series of examples for the same seed no matter what the rest of your program does with the random number generators.
Go to the source code of this file.
Data Structures | |
| struct | _ExampleGenerator_ |
| Holds the information needed to reproducibly make a random data set. See ExampleGenerator.h for more detail. More... | |
Typedefs | |
| typedef _ExampleGenerator_ | ExampleGenerator |
| Holds the information needed to reproducibly make a random data set. See ExampleGenerator.h for more detail. | |
| typedef _ExampleGenerator_ * | ExampleGeneratorPtr |
| Holds the information needed to reproducibly make a random data set. See ExampleGenerator.h for more detail. | |
Functions | |
| ExampleGeneratorPtr | ExampleGeneratorNew (ExampleSpecPtr es, int seed) |
| Creates a new example generator. | |
| void | ExampleGeneratorFree (ExampleGeneratorPtr eg) |
| Frees the memory associated with the example generator. | |
| ExamplePtr | ExampleGeneratorGenerate (ExampleGeneratorPtr eg) |
| Makes a random example. | |
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Holds the information needed to reproducibly make a random data set. See ExampleGenerator.h for more detail.
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Holds the information needed to reproducibly make a random data set. See ExampleGenerator.h for more detail.
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Frees the memory associated with the example generator.
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Makes a random example. Allocates an example, randomly sets the values of its attributes, and returns it. Uses uniform distributions for all of its decisions. For continuous attributes it uniformly generates a value between 0 and 1.0; you might like to scale this value to fit your needs. You are must free the ExamplePtr when you are finished with it by calling ExampleFree. |
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Creates a new example generator. The generator will generate examples conforming to es using a seeded random number generator. If the value of seed is -1 this will select a random initial seed (But you'll need to initialize the random number generator on your system for this to work; The function RandomInit() will do the job). |
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