dga_classifier | Sample DGA classifier

by tokgolich Python Version: Current License: No License

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

kandi X-RAY | dga_classifier Summary

dga_classifier is a Python library. dga_classifier has no bugs, it has no vulnerabilities and it has low support. However dga_classifier build file is not available. You can download it from GitHub.

Sample DGA classifier

Support

Quality

Security

License

Reuse

Support

dga_classifier has a low active ecosystem.

It has 2 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of dga_classifier is current.

Quality

dga_classifier has 0 bugs and 0 code smells.

Security

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

dga_classifier code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dga_classifier 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

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

dga_classifier 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.

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dga_classifier Key Features

No Key Features are available at this moment for dga_classifier.

dga_classifier Examples and Code Snippets

No Code Snippets are available at this moment for dga_classifier.

Community Discussions

Trending Discussions on dga_classifier

" samples: %r" % [int(l) for l in lengths]) ValueError: Found input variables with inconsistent numbers of samples: [219870, 0, 0]

QUESTION

" samples: %r" % [int(l) for l in lengths]) ValueError: Found input variables with inconsistent numbers of samples: [219870, 0, 0]

Asked 2021-Jun-12 at 20:22

I'm trying to train some ML algorithms on some data that I collected, but I received an error for input variables with inconsistent numbers of samples. I'm not really sure what variables needs to be changed or not. I've posted my code below to give you a better understanding of what I'm trying to accomplish:

...

ANSWER

Answered 2021-Jun-12 at 12:14

The file has to be opened in binary mode.

open(DATA_FILE, 'rb')

Source https://stackoverflow.com/questions/67948722

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

Vulnerabilities

No vulnerabilities reported

Install dga_classifier

You can download it from GitHub.
You can use dga_classifier like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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