bakeoff | enable data wrangling , analysis , and visualizations | Data Visualization library

by apreshill R Version: Current License: Non-SPDX

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

kandi X-RAY | bakeoff Summary

bakeoff is a R library typically used in Analytics, Data Visualization, Pandas, Spark applications. bakeoff has no bugs, it has no vulnerabilities and it has low support. However bakeoff has a Non-SPDX License. You can download it from GitHub.

The goal of bakeoff is to enable data wrangling, analysis, and visualizations using data from “The Great British Bake Off”.

Support

Quality

Security

License

Reuse

Support

bakeoff has a low active ecosystem.

It has 49 star(s) with 19 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 3 have been closed. On average issues are closed in 208 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of bakeoff is current.

Quality

bakeoff has no bugs reported.

Security

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

License

bakeoff has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

Installation instructions, examples and code snippets are available.

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bakeoff Key Features

No Key Features are available at this moment for bakeoff.

bakeoff Examples and Code Snippets

No Code Snippets are available at this moment for bakeoff.

Community Discussions

Trending Discussions on bakeoff

Configure ElasticSearch for `+` RFC7159?

QUESTION

Configure ElasticSearch for `+` RFC7159?

Asked 2018-Jun-27 at 07:33

Is there a way to configure ElasticSearch to accept newer JSON specifications?

I need to represent positive, negative, and unsigned numbers in JSON for indexing in ElasticSearch.

e.g.

...

ANSWER

Answered 2018-Jun-27 at 07:33

What you could do is to map your confidence field as a float or double and then in the source document add them as a string.

Create the index mapping like this:

Source https://stackoverflow.com/questions/51050392

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

Vulnerabilities

No vulnerabilities reported

Install bakeoff

You can install the development version from GitHub with:.

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: