In information theory, perplexity is a measurement of how well a probability distribution or probability model predicts a sample. It may be used to compare probability models. A low perplexity indicates the probability distribution is good at predicting the sample.
== Perplexity of a probability distribution ==
The perplexity of a discrete probability distribution p is defined as
where H(p) is the entropy of the distribution and x ranges over events.
Perplexity of a random variable X may be defined as the perplexity of the distribution over its possible values x.
In the special case where p models...
Magic numbers are bad... I totally agree. But there's one magic number I find hard to fix:
'100' is a magic number.
Consider this code:
public double getPercent(double rate) {
return rate * 100;
}
public double getRate(double percent) {
return percent / 100;
}
Sonar will raise 2...
