ReMine | Integrating Local Context and Global Cohesiveness | Graph Database library

by GentleZhu C++ Version: Current License: No License

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

kandi X-RAY | ReMine Summary

ReMine is a C++ library typically used in Database, Graph Database applications. ReMine has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Source code and data for WSDM19' paper "Integrating Local and Global Cohesiveness for Open Information Extraction".

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Support

ReMine has a low active ecosystem.

It has 35 star(s) with 8 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 3 have been closed. On average issues are closed in 5 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ReMine is current.

Quality

ReMine has no bugs reported.

Security

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

License

ReMine 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

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

Installation instructions are not available. Examples and code snippets are available.

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ReMine Key Features

No Key Features are available at this moment for ReMine.

ReMine Examples and Code Snippets

No Code Snippets are available at this moment for ReMine.

Community Discussions

Trending Discussions on ReMine

Custom Sklearn Transformer works alone, Throws Error When Used in Pipeline

QUESTION

Custom Sklearn Transformer works alone, Throws Error When Used in Pipeline

Asked 2017-Oct-17 at 16:25

I have a simple sklearn class I would like to use as part of an sklearn pipeline. This class just takes a pandas dataframe X_DF and a categorical column name, and calls pd.get_dummies to return the dataframe with the column turned into a matrix of dummy variables...

...

ANSWER

Answered 2017-Oct-17 at 16:25

The trace is telling you exactly what went wrong. Learning to diagnose the trace is really quite invaluable especially when you are inheriting from libraries you might not have a complete understanding of.

Now, I have done a fair bit of inheriting in sklearn myself and I can tell you without a doubt GridSearchCV is going to give you some trouble if the type of data input into your fit or fit_transform methods are not NumPy arrays. As Vivek mentioned in his comment the X getting passed to your fit method is no longer a DataFrame. But let's take a look at the trace first.

ValueError: cannot label index with a null key

While Vivek is correct about the NumPy array you have another problem here. The actual error you get is that the value of column in your fit method is None. If you were to look at your encoder object above you would see the __repr__ method outputs the following:

Source https://stackoverflow.com/questions/46781448

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

Vulnerabilities

No vulnerabilities reported

Install ReMine

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 .

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