BIG_PROJECT | homework in SCUT_SE | Machine Learning library

by Concyclics C Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | BIG_PROJECT Summary

BIG_PROJECT is a C library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras, Numpy, Neural Network applications. BIG_PROJECT has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

homework in SCUT_SE

Support

Quality

Security

License

Reuse

Support

BIG_PROJECT has a low active ecosystem.

It has 8 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of BIG_PROJECT is current.

Quality

BIG_PROJECT has no bugs reported.

Security

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

License

BIG_PROJECT 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

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

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 BIG_PROJECT

Get all kandi verified functions for this library.

BIG_PROJECT Key Features

No Key Features are available at this moment for BIG_PROJECT.

BIG_PROJECT Examples and Code Snippets

No Code Snippets are available at this moment for BIG_PROJECT.

Community Discussions

Trending Discussions on BIG_PROJECT

query spark dataframe on max column value

How to open file with path relative to c file, not working directory

QUESTION

query spark dataframe on max column value

Asked 2021-Jun-08 at 12:06

I have a hive external partitioned table with following data structure:

...

ANSWER

Answered 2021-Jun-08 at 12:06

max_version is of type org.apache.spark.sql.DataFrame its not Double. You have to extract value from the DataFrame.

Check below code.

Source https://stackoverflow.com/questions/67885952

QUESTION

How to open file with path relative to c file, not working directory

Asked 2019-Apr-05 at 18:29

I'm modifying a large codebase written in C. This code is designed to be compiled and ran from an arbitrary working directory. This is so configuration files can be read and output written to/from the working directory, making it easier to organize the setup and outputs of the code.

The additions I've made to this code need to read data from a few data files. I would like to place these in the same directory as the .c file where they are read, with a directory structure as follows:

...

ANSWER

Answered 2019-Apr-05 at 18:29

Based on our conversation in the comments, you have several alternatives, which I'll list below from, IMHO, most to least desirable.

You never specified if you were in Windows, GNU+Linux, or were doing cross-platform development, but I'm sure you can adapt the suggestions to your platform.

Multiple and Custom Config Files (Recommended)

You could modify your program to look at your platform's standard location for program data and/or configuration files. For example, you could have it look for a standard config at /etc//default.conf in GNU+Linux or %APPDATA%\\default.conf in Windows.

If different users need to use their own personal configs, the program could also be made to accept a config file path as an argument. For example:

GNU+Linux:

Source https://stackoverflow.com/questions/55504517

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

Vulnerabilities

No vulnerabilities reported

Install BIG_PROJECT

You can download it from GitHub.

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: