kge | Knowledge Graph Embedding Algorithms | Graph Database library

by bhushank Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | kge Summary

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

Knowledge Graph Embedding Algorithms

Support

Quality

Security

License

Reuse

Support

kge has a low active ecosystem.

It has 2 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of kge is current.

Quality

kge has 0 bugs and 0 code smells.

Security

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

kge code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

kge 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

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

kge has no build file. You will be need to create the build yourself to build the component from source.

It has 1473 lines of code, 184 functions and 15 files.

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

Top functions reviewed by kandi - BETA

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

Binear regression .
Calculate S_rescalculates the cost function .
Compute the coupling layer .
Perform the hole algorithm .
Transport of E .
Train the experiment .
Compute metrics for the model .
Save model to disk .
Reads a file .
Generate a set of node names .

Get all kandi verified functions for this library.

kge Key Features

No Key Features are available at this moment for kge.

kge Examples and Code Snippets

No Code Snippets are available at this moment for kge.

Community Discussions

Trending Discussions on kge

Prob using axes for subplot an get AttributeError: 'numpy.ndarray' object has no attribute 'plot'

Selecting specific values in a pandas DataFrame

How to draw side by side boxplot using facet_wrap in R?

QUESTION

Prob using axes for subplot an get AttributeError: 'numpy.ndarray' object has no attribute 'plot'

Asked 2020-Nov-06 at 22:32

'''
matplotlib.use("Qt5Agg")

...

ANSWER

Answered 2020-Nov-06 at 22:32

As you say, the problem is with this line:

Source https://stackoverflow.com/questions/64721923

QUESTION

Selecting specific values in a pandas DataFrame

Asked 2020-Oct-25 at 14:51

I have a pandas DataFrame as follow:

...

ANSWER

Answered 2020-Oct-25 at 14:51

Create a flag for each record, so you can use groupby-all easily to determine if all flags are true in groups (sta in your case). Subsequently, rows with qualified sta values can be selected using df.isin().

Source https://stackoverflow.com/questions/64524806

QUESTION

How to draw side by side boxplot using facet_wrap in R?

Asked 2020-Jan-11 at 21:34

I was looking for a solution to draw side by side boxplot using facet_wrap in R. Though there are lots of good solutions, however, I didn't come across any that i wanted. I decided to draw a picture of the plot that i would like to see of my two data.frame. Data.frame C has my calibration data for the four models of different meterics (i.e., KGE, NSE, PBIAS, and R-Sq) while Data.frame V has my validation data. I want to see a separate plot of each metrics using facet_wrap of the ggplot2 functionality. Below is what i have done so far but its not taking me even closer.

...

ANSWER

Answered 2020-Jan-11 at 21:34

I think you need to split your Variable before plotting in order to have one variable for M1, M2, M3 M4 and one variable for your conditions:

Source https://stackoverflow.com/questions/59698412

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

Vulnerabilities

No vulnerabilities reported

Install kge

You can download it from GitHub.
You can use kge 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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