generate()
Generate a new sequence in the style the model learned.
Starts from startSequence and keeps adding symbols until it reaches the end of a sequence. The context grows up to maxOrder as it goes. If no start is given, the model picks one it has seen.
Parameters
Once an object compositemarkovmodel has been created, you can use the following functions:
compositemarkovmodel.generate()
compositemarkovmodel.generate(startSequence)
| Parameter | Type | Default | Description |
|---|---|---|---|
startSequence |
list |
None |
The symbols to start from. If omitted, the model picks a start it has learned. |
Returns
return chainList
| Value | Type | Description |
|---|---|---|
| chainList | list |
The generated sequence, starting with startSequence. |