| Class |
RiTa
|
| Name |
markov
|
| Description |
Creates a new RiMarkov object with functions for text-generation, as well as a range of other probabilistic functions.
This object uses Markov chains (aka n-grams) with options to process words or arbitrary regular expressions. |
| Example |
txt = "This is a two sentence example. This is the second one."
rm = RiTa.markov(3);
rm.addText(txt);
sentences = rm.generate(2);
|
| Parameters |
| int | n-factor - the length of each n-gram stored in the model |
|---|
Object
(or Map in Java) | options for creating the model (optional)
{int} options.maxLengthMatch:
# of words allowed in result to match a sequence in the input, default=∞
{boolean} options.disableInputChecks:
if true, allow result to be present in the input, default=false
{Function} options.tokenize:
a custom tokenize function to use, default=RiTa.tokenize
{Function} options.untokenize [JS only]:
a custom tokenize function to use, default=RiTa.untokenize
{boolean} options.trace:
if true, output debug log to console, default=false
{int} options.maxAttempts:
max attempts before throwing a generation error, default=999
{String or String[]} options.text:
text to be added to the model (same as via model.addText()
|
|---|
|
| Returns |
| RiMarkov | a RiMarkov object |
|---|
|
| Related |
For more options/detail see the tutorial Generating with Markov chains |
| Note |
tmp_note |
| Syntax |
// Constructs a RiMarkov object and set its n-factor.
RiTa.markov(nFactor);
// Create an object and specify one or more options
RiTa.markov(nFactor, optionsObject);
|
| Constants |
For more options/detail see the tutorial Generating with Markov chainsConstants
|
| Platform |
Java / JavaScript |
|
|
