<?php
// example of using the NGramPredictor class
// shows:
// 1. how to train the predictor
// 2. how to predict the next character
// 3. how to get all matches for a given string
// 4. how to get the next character for a given string
// 5. how to get the previous character for a given string (TODO)
require_once("class.npredict.php");
$predictor = new NGramPredictor(2);
$predictor->train("Hello my name is Fred and I like to enjoy life. Life is one hell of a ride. Likewise, naturally, I like to jump. Martha helped the donkey open the gate while tying her shoe.");
$str = "el";
for ($i = 0; $i < 10; $i++) {
$char = $predictor->predict($str);
$str .= $char;
print("c:".$char."<br />\n");
print("s:".$str."<br />\n");
}
echo "\r\n<br /><br />";
$match_str = "el";
print("match_str:".$match_str."<br />\n");
// now show the matching dict for the matches
foreach ($predictor->predict_get_all_matches($match_str) as $key => $val) {
// decode key
$decoded = $predictor->decode([$key]);
print("key:".$key." val:".$val." decoded:".$decoded."<br />\n");
}
/*
Output:
c:l
s:ell
c:o
s:ello
c:
s:ello
c:m
s:ello m
c:y
s:ello my
c:
s:ello my
c:n
s:ello my n
c:a
s:ello my na
c:m
s:ello my nam
c:e
s:ello my name
match_str:el
key:2 val:2 decoded:l
key:25 val:1 decoded:p
*/
?>
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