Viterbi | An implementation of HMM-Viterbi Algorithm 通用的维特比算法实现

by hankcs Java Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | Viterbi Summary

Viterbi is a Java library. Viterbi has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Viterbi build file is not available. You can download it from GitHub.

An implementation of HMM-Viterbi Algorithm.

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Quality

Security

License

Reuse

Support

Viterbi has a low active ecosystem.

It has 338 star(s) with 194 fork(s). There are 26 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 5 have been closed. On average issues are closed in 8 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Viterbi is current.

Quality

Viterbi has 0 bugs and 0 code smells.

Security

Viterbi has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Viterbi code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Viterbi is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Viterbi releases are not available. You will need to build from source code and install.

Viterbi has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed Viterbi and discovered the below as its top functions. This is intended to give you an instant insight into Viterbi implemented functionality, and help decide if they suit your requirements.

Simple test program
Compute hMM and transpose
Prints the status of Viterbi tests

Get all kandi verified functions for this library.

Viterbi Key Features

No Key Features are available at this moment for Viterbi.

Viterbi Examples and Code Snippets

No Code Snippets are available at this moment for Viterbi.

Community Discussions

Trending Discussions on Viterbi

generating a Markov chain simulation using a transition matrix of specific size and with a given seed, using the mchmm library

How to split Hmm databse (Pfam-A.hmm) into individual files?

Why does Viterbi algorithm (POS tagging) always predict one tag?

How to plot a line plot over sns.heatmap over the center of tick labels

Pytorch with CUDA throws RuntimeError when using pack_padded_sequence

QUESTION

generating a Markov chain simulation using a transition matrix of specific size and with a given seed, using the mchmm library

Asked 2022-Feb-23 at 20:48

I am trying to generate a Markov simulation using a specific sequence as start, using the mchmm library coded with scipy and numpy. I am not sure if I am using it correctly, since the library also has Viterbi and Baum-Welch algorithms in the context of Markov, which I am not familiar with.

To illustrate, I will continue with an example.

...

ANSWER

Answered 2022-Feb-23 at 20:48

The states in the MarkovChain instance a are 'A', 'B' and 'C'. When the simulate method is given a string for state, it expects it to be the name of one of the states, i.e. either 'A', 'B' or 'C'. You get that error because data[-3:] is not one of the states.

For example, in the following I use start='A' in the call of simulate(), and it generates a sequence of 10 states, starting at 'A':

Source https://stackoverflow.com/questions/71239580

QUESTION

How to split Hmm databse (Pfam-A.hmm) into individual files?

Asked 2022-Jan-20 at 16:57

I have downloaded the Pfam database, but in order to proceed with my work I would need to split it into different individual files. I tried to do it with the command hmmfetch:

...

ANSWER

Answered 2022-Jan-20 at 16:40

A basic solution using GNU/BSD awk:

Source https://stackoverflow.com/questions/70789571

QUESTION

Why does Viterbi algorithm (POS tagging) always predict one tag?

Asked 2021-Nov-02 at 09:15

Here is my HMM model class:

...

ANSWER

Answered 2021-Nov-02 at 09:15

Probability should look like that:

Source https://stackoverflow.com/questions/69806385

QUESTION

How to plot a line plot over sns.heatmap over the center of tick labels

Asked 2021-Sep-28 at 10:22

Currently, I am trying to plot the viterbi path over all state probabilities. Basically, it is a line plot over a Seaborn heatmap I am using the following code

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ANSWER

Answered 2021-Sep-28 at 10:22

Seaborn draws the ticks at the half positions (0.5, 1.5, ...). You can add a half to have the lines at the centers in the y-direction.

Source https://stackoverflow.com/questions/69358832

QUESTION

Pytorch with CUDA throws RuntimeError when using pack_padded_sequence

Asked 2021-Jun-22 at 15:58

I am trying to train a BiLSTM-CRF on detecting new NER entities with Pytorch. To do so, I am using a snippet of code derivated from the Pytorch Advanced tutorial. This snippet implements batch training.

I followed the READ-ME in order to present data as required. Everything works great on CPU, but when I'm trying to get it to GPU, the following error occur :

...

ANSWER

Answered 2021-Jun-22 at 15:58

Within PadSequence function (which acts as a collate_fn which gathers samples and makes a batch from them) you are explicitly casting to cuda device, namely:

Source https://stackoverflow.com/questions/68086528

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Viterbi

You can download it from GitHub.
You can use Viterbi like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Viterbi component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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