AmpliGraph | Python library for Representation Learning | Machine Learning library

by Accenture Python Version: 2.1.0 License: Apache-2.0

X-Ray Key Features Code Snippets(2)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | AmpliGraph Summary

AmpliGraph is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. AmpliGraph has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install AmpliGraph' or download it from GitHub, PyPI.

AmpliGraph is a suite of neural machine learning models for relational Learning, a branch of machine learning that deals with supervised learning on knowledge graphs.

Support

Quality

Security

License

Reuse

Support

AmpliGraph has a medium active ecosystem.

It has 1951 star(s) with 236 fork(s). There are 66 watchers for this library.

There were 1 major release(s) in the last 12 months.

There are 31 open issues and 184 have been closed. On average issues are closed in 75 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of AmpliGraph is 2.1.0

Quality

AmpliGraph has 0 bugs and 0 code smells.

Security

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

AmpliGraph code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

AmpliGraph is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

AmpliGraph releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

AmpliGraph saves you 3092 person hours of effort in developing the same functionality from scratch.

It has 7201 lines of code, 408 functions and 51 files.

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

Top functions reviewed by kandi - BETA

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

Fit the Estimator
Used in a placeholder function
Ends training
Calculate the loss
Run a single experiment
Compute the mean rank score
Evaluate the performance of an embedding model
Configures the evaluation protocol
Calibrate the model
Validate input data
Calibrate embeddings
Set dataset data
Set the data
Map the data in the database
Evaluate a single model
Load all datasets
Evaluates all hyperparameters
Evaluate a single dataset
Set the mappings in the database
Compute the loss function
Display a list of scores
Predicts probabilities for the given X
Get the next batch of data
Get the rank of the model
Load data from an rdf file
Get next batch of data

Get all kandi verified functions for this library.

AmpliGraph Key Features

No Key Features are available at this moment for AmpliGraph.

AmpliGraph Examples and Code Snippets

default

Python

Lines of Code : 140

License : No License

Copy

 >>> f = DFAFilter()
 >>> f.add("sexy")
 >>> f.filter("hello sexy baby")
 hello **** baby

>>> import langid
>>> langid.classify("This is a test")
('en', -54.41310358047485)

from langdetect import detect

Multiple versions of Tensorflow causing issues

Python

Lines of Code : 10

License : Strong Copyleft (CC BY-SA 4.0)

Copy

$ pip3 --version

pip 19.3.1 from /usr/lib64/python3.5/site-packages/pip (python 3.5)

$ pip3 list --user

$ pip3 uninstall tensorflow --user

Community Discussions

Trending Discussions on AmpliGraph

Multiple versions of Tensorflow causing issues

QUESTION

Multiple versions of Tensorflow causing issues

Asked 2019-Dec-25 at 12:36

Long story: I use an Amazon EC2 instance and was trying to use this package called Ampligraph, which uses TensorFlow(TF) internally. I installed it through PIP using this installation guide. I ran these below scripts to load a model to the system.

...

ANSWER

Answered 2019-Dec-25 at 12:36

First, check whether pip3 matches the interpreter aliased to python3: run

Source https://stackoverflow.com/questions/59369428

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