dreadlocks | new template engine for Scala programmers | Functional Programming library

by rakuto Scala Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | dreadlocks Summary

dreadlocks is a Scala library typically used in Programming Style, Functional Programming applications. dreadlocks has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

The DreadLocks is new template engine for Scala programmers, and supported scala syntax in your template files.

Support

Quality

Security

License

Reuse

Support

dreadlocks has a low active ecosystem.

It has 6 star(s) with 1 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

dreadlocks has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of dreadlocks is current.

Quality

dreadlocks has no bugs reported.

Security

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

License

dreadlocks does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of dreadlocks

Get all kandi verified functions for this library.

dreadlocks Key Features

No Key Features are available at this moment for dreadlocks.

dreadlocks Examples and Code Snippets

No Code Snippets are available at this moment for dreadlocks.

Community Discussions

Trending Discussions on dreadlocks

Gensim Word2Vec most similar different result python

QUESTION

Gensim Word2Vec most similar different result python

Asked 2018-Mar-21 at 09:51

I have the first Harry Potter book in txt format. From this, I created two new txt files: in the first, all the occurrencies of Hermione have been replaced with Hermione_1; in the second, all the occurrencies of Hermione have been replaced with Hermione_2. Then I concatenated these 2 text to create one long text and I used this as input for Word2Vec. This is my code:

...

ANSWER

Answered 2018-Mar-21 at 09:51

Training word2Vec models is random to an extent. That is why you may get different results. Also, Hermione_2 starts appearing in the second half of the text data. In my understanding over the course of processing the data when the Hermione_1 context is already established and so is the vector for this word you introduce a second word in exactly the same context and the algorithm tries to find what differentiates the two. Secondly, you use a very short vector which may under-represent the complexity of the conceptual space. Due to the simplifications you get two vectors without any overlap.

Source https://stackoverflow.com/questions/49402113

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

Vulnerabilities

No vulnerabilities reported

Install dreadlocks

Download latest dreadlocks.jar from GitHub: http://cloud.github.com/downloads/rakuto/dreadlocks/dreadlocks-0.2.jar.
Install DreadLocks
DreadLocks used simple-build-tool project to build source and manage it. You can build after installed and setuped simple-build-tools. The simple-build-tool project are hosted on Google Code http://code.google.com/p/simple-build-tool/. % sbt compile % sbt package. For more details, please see simple-build-tool documentation.

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 .

Find more information at: