varaha | Machine learning and natural language processing | Natural Language Processing library
kandi X-RAY | varaha Summary
kandi X-RAY | varaha Summary
varaha is a Java library typically used in Artificial Intelligence, Natural Language Processing applications. varaha has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However varaha has 2 bugs. You can download it from GitHub.
Machine learning and natural language processing with Apache Pig
Machine learning and natural language processing with Apache Pig
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Quality
Security
License
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Support
varaha has a low active ecosystem.
It has 51 star(s) with 15 fork(s). There are 9 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. On average issues are closed in 2760 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of varaha is current.
Quality
varaha has 2 bugs (0 blocker, 0 critical, 0 major, 2 minor) and 44 code smells.
Security
varaha has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
varaha code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
varaha 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
varaha releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
varaha saves you 421 person hours of effort in developing the same functionality from scratch.
It has 997 lines of code, 24 functions and 8 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed varaha and discovered the below as its top functions. This is intended to give you an instant insight into varaha implemented functionality, and help decide if they suit your requirements.
- Performs the cosine similarity
- Compute the norm of this vector
- Compute the inner product of two terms
- Computes the cosine similarity between two terms
- Runs the analyzer
- Fill a data bag from a token stream
- Runs the analysis
- Do the actual work
- Execute the given input
- Creates a pipe for ingesting pig tuples
- Returns an iterator over the elements in this sequence
Get all kandi verified functions for this library.
varaha Key Features
No Key Features are available at this moment for varaha.
varaha Examples and Code Snippets
No Code Snippets are available at this moment for varaha.
Community Discussions
Trending Discussions on varaha
QUESTION
Remove empty value from Data Frame
Asked 2018-Mar-29 at 23:50
library(rvest)
Holidays <- read_html("http://www.spholidays.com/monuments.php")
a <- data.frame(Places = html_text(html_nodes(Holidays,".cat-hd1")))
b <- data.frame(Monuments_Name = html_text(html_nodes(Holidays,"tr~ tr+ tr td:nth-child(1)")))
b <- as.data.frame(b)
b<-b[!apply(b == "", 1, all),]
b<-b[!apply(b == "", 1, all),]
...ANSWER
Answered 2018-Mar-29 at 22:59Am not sure if i completely understood your problem, but is it just removing the empty values what you want to achieve? If so, i think the issue is that you have strange values that are not "", thus when you try to look for those values R cannot find them. Try something like this:
Using the data.table package
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install varaha
You can download it from GitHub.
You can use varaha 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 varaha 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 .
You can use varaha 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 varaha 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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