yelp-spark-airflow | Yelp dataset sentimental analysis and weighted review score

by jjjchens235 Python Version: Current License: No License

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

kandi X-RAY | yelp-spark-airflow Summary

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

Yelp dataset sentimental analysis and weighted review score using PySpark and Airflow

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Support

yelp-spark-airflow has a low active ecosystem.

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

It had no major release in the last 6 months.

yelp-spark-airflow has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of yelp-spark-airflow is current.

Quality

yelp-spark-airflow has 0 bugs and 0 code smells.

Security

yelp-spark-airflow has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

yelp-spark-airflow code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

yelp-spark-airflow 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

yelp-spark-airflow releases are not available. You will need to build from source code and install.

yelp-spark-airflow 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.

It has 266 lines of code, 5 functions and 2 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Predict the prediction for a city .
Update AWS default credentials .
Saves local files to S3
Calculates a weight based on a rating .
Transform a star .

Get all kandi verified functions for this library.

yelp-spark-airflow Key Features

No Key Features are available at this moment for yelp-spark-airflow.

yelp-spark-airflow Examples and Code Snippets

No Code Snippets are available at this moment for yelp-spark-airflow.

Community Discussions

No Community Discussions are available at this moment for yelp-spark-airflow.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install yelp-spark-airflow

You can download it from GitHub.
You can use yelp-spark-airflow 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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