data_mine | Apriori and fp-growth implement of python | Data Mining library

by blackAndrechen Python Version: Current License: No License

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

kandi X-RAY | data_mine Summary

data_mine is a Python library typically used in Data Processing, Data Mining applications. data_mine has no bugs, it has no vulnerabilities and it has low support. However data_mine build file is not available. You can download it from GitHub.

In this repository implemente 6 class of Association rule data mining algorithm. transaction compression processing for apriori algorithm. hash method for apriori algorithm. transaction compress + dataset compress+hash + apriori. dataset compress + fp_growth.

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Quality

Security

License

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Support

data_mine has a low active ecosystem.

It has 152 star(s) with 39 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 0 have been closed. On average issues are closed in 161 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of data_mine is current.

Quality

data_mine has 0 bugs and 114 code smells.

Security

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

data_mine code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

data_mine 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

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

data_mine 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.

data_mine saves you 379 person hours of effort in developing the same functionality from scratch.

It has 902 lines of code, 58 functions and 6 files.

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

Top functions reviewed by kandi - BETA

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

Generate rule list
Generate the L1 L3 algorithm
Create a set of kk - kk items
Returns True if Ck_item is less than Lk_1
Generate R
Generate the LK algorithm
Creates a set of kk - kk items
Creates a set of c1s
Generates rules for the model
Returns True if Ck_item is not in Lk_1
Generate L1K
Creates a set of kk items
Generate rule list based on given frequencies
Creates fptree
Generate FPT tree
Creates a conditional fptree
Generates R algorithm
Generate L
Creates a set of kk_1 kk_1 kk_1
Creates a set of c1
Generate rule list based on given frequency
Generate a set of L features
Create conditional fptree
Creates a forest tree from data_set
Load data
Save rule to file

Get all kandi verified functions for this library.

data_mine Key Features

No Key Features are available at this moment for data_mine.

data_mine Examples and Code Snippets

No Code Snippets are available at this moment for data_mine.

Community Discussions

Trending Discussions on data_mine

Understand "return data_mine['one'] = 1" in a function

QUESTION

Understand "return data_mine['one'] = 1" in a function

Asked 2019-May-09 at 16:35

I found the following function in a book I currently read. I understand the function but not why we do data_mine['one'] = 1 and why we return data_resampled.one. Can you explain to me the reason why the author is doing that? Here you can find citibike.csv

...

ANSWER

Answered 2019-May-09 at 15:52

data_mine['one'] = 1 makes all values of the column - 'one' (if it exists already) to 1. If it does not exist already, you just appended a new column ['one'] with all values 1 in data_mine.

Hope this makes you understand the function better.

Source https://stackoverflow.com/questions/56063147

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

Vulnerabilities

No vulnerabilities reported

Install data_mine

You can download it from GitHub.
You can use data_mine 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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