Cubert | efficient batch computation engine for complex analysis

by linkedin Java Version: v0.2.0 License: Apache-2.0

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

kandi X-RAY | Cubert Summary

Cubert is a Java library typically used in Big Data, Hadoop applications. Cubert has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Cubert script is a physical script where we explicitly define the operators at the Mappers, Reducers and Combiners for the different jobs. Following is an example of the Word Count problem written in cubert script.

Support

Quality

Security

License

Reuse

Support

Cubert has a low active ecosystem.

It has 243 star(s) with 63 fork(s). There are 63 watchers for this library.

It had no major release in the last 12 months.

There are 5 open issues and 4 have been closed. On average issues are closed in 6 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Cubert is v0.2.0

Quality

Cubert has 0 bugs and 0 code smells.

Security

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

Cubert code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Cubert 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

Cubert releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Handles JOIN
Creates a block schema for reduce side joins
Checks the pre conditions
Compares two Datas schemas
Show the groovy script
Dumps the text to output
Extracts the data to the output file
Initialize output schema using input properties
Merges two avro schemas
Sets the input
Rewrite FactBlock generation path
Merge all dictionaries
Rewrites all files in the given plan
Sets the block s columns
Serialize the object
Create post condition
Sets the default input
Validate the block schema
Perform shuffle
Visits a JSON operator
Get the post condition
Get next tuple
Main method
Get the post condition list
Called when the program exits
Deserialize an object

Get all kandi verified functions for this library.

Cubert Key Features

No Key Features are available at this moment for Cubert.

Cubert Examples and Code Snippets

No Code Snippets are available at this moment for Cubert.

Community Discussions

Trending Discussions on Cubert

Box-Cox Tranformation Error: object 'x' not found

QUESTION

Box-Cox Tranformation Error: object 'x' not found

Asked 2020-May-13 at 02:24

hopefully a relatively easy one for those more experienced than me!

Trying to perform a Box-Cox transformation using the following code:

...

ANSWER

Answered 2020-May-13 at 02:24

I thought 'x' was being defined in line 3?

Line 3 is lambda<-with(bc, x[which.max(y)]). It doesn't define x, it defines lambda. It does use x, which it looks for within the bc environment. If you're using boxcox() from the MASS package, bc should indeed include x and y components, so bc$x shouldn't give you the same error message. I'd expect an error about the replacement lengths. Because...

bc$x are the potential lambda values tried by boxcox - you're using the default seq(-2, 2, 1/10), and it would be an unlikely coincidence if your data had a multiple of 41 rows needed to not give an error when assigning 41 values to a new column.

Line 3 picks out the lambda value that maximizes the likelihood, so you shouldn't need the rest of the values in bc ever again. I'd expect you to use that lambda values to transform your response variable, as that's what the Box Cox transformation is for. ((x^lambda)-1/lambda) doesn't make any statistical or programmatic sense. Use this instead:

Source https://stackoverflow.com/questions/61745309

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

Vulnerabilities

No vulnerabilities reported

Install Cubert

Download or clone the repository (say, into /path/to/cubert) and run the following command:. This will create a folder /path/to/cubert/release, which is what we will need to run cubert. This folder can be copied to hadoop cluster gateway. To run cubert, first make sure that Hadoop is installed and the HADOOP_HOME environment variable points to the hadoop installation. Set the CUBERT_HOME environment to the release folder (note: CUBERT_HOME points to the release folder and not the "root" repository folder). Example Scripts: Sample scripts are available in the $CUBERT_HOME/examples folder.