Hidden Markov Models
You can also see Python, Cython, C++, C, Swift, Js, or C# repository.
- Java Development Kit 8 or higher, Open JDK or Oracle JDK
- Maven
- Git
To check if you have a compatible version of Java installed, use the following command:
java -version
If you don't have a compatible version, you can download either Oracle JDK or OpenJDK
To check if you have Maven installed, use the following command:
mvn --version
To install Maven, you can follow the instructions here.
Install the latest version of Git.
In order to work on code, create a fork from GitHub page. Use Git for cloning the code to your local or below line for Ubuntu:
git clone <your-fork-git-link>
A directory called Hmm will be created. Or you can use below link for exploring the code:
git clone https://github.com/olcaytaner/Hmm.git
Steps for opening the cloned project:
- Start IDE
- Select File | Open from main menu
- Choose
Hmm/pom.xml
file - Select open as project option
- Couple of seconds, dependencies with Maven will be downloaded.
From IDE
After being done with the downloading and Maven indexing, select Build Project option from Build menu. After compilation process, user can run Hmm.
From Console
Go to Hmm
directory and compile with
mvn compile
From IDE
Use package
of 'Lifecycle' from maven window on the right and from Hmm
root module.
From Console
Use below line to generate jar file:
mvn install
<dependency>
<groupId>io.github.starlangsoftware</groupId>
<artifactId>Hmm</artifactId>
<version>1.0.3</version>
</dependency>
Hmm modelini üretmek için
Hmm(Set<State> states, ArrayList<State>[] observations, ArrayList<Symbol>[] emittedSymbols)
Viterbi algoritması ile en olası State listesini elde etmek için
ArrayList<State> viterbi(ArrayList<Symbol> s)