TensorLog | This is the GitHub repository for TensorLog

by TeamCohen Python Version: v1.0 License: Apache-2.0

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

kandi X-RAY | TensorLog Summary

TensorLog is a Python library. TensorLog has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

This is the GitHub repository for TensorLog. Package documentation can be found in the tensorlog directory. Tutorials and research documentation is on the wiki.

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TensorLog has a low active ecosystem.

It has 99 star(s) with 22 fork(s). There are 9 watchers for this library.

It had no major release in the last 12 months.

There are 7 open issues and 4 have been closed. On average issues are closed in 44 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of TensorLog is v1.0

Quality

TensorLog has 0 bugs and 0 code smells.

Security

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

TensorLog code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

TensorLog 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

TensorLog releases are available to install and integrate.

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

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

TensorLog saves you 2961 person hours of effort in developing the same functionality from scratch.

It has 6390 lines of code, 748 functions and 37 files.

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

Top functions reviewed by kandi - BETA

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

Parse command line arguments
Parse a matrix specification
Parse a tensorlog specification
Parse a dataset specification
Main function
Mark functor as parameter
Accumulate grid - acces
Generate grid inputs
Set feature weights for each rule
Broadcast two matrices
Compute the row sum of a matrix
Reorder the given rule
Set weights for each rule
Generate examples from the given question
Configure options from command line arguments
Run the Cross compiler
Train the optimizer
Load examples from file
This function is used to run the test
Run the optimizer
Load wiki entities
Moves the grammar to the rule
Go through the TextCattoy corpus
Display a message
Return a Config object for the config
Insert a handle expression

Get all kandi verified functions for this library.

TensorLog Key Features

No Key Features are available at this moment for TensorLog.

TensorLog Examples and Code Snippets

No Code Snippets are available at this moment for TensorLog.

Community Discussions

Trending Discussions on TensorLog

Why does this code not produce a log that is readable by tensorboard?

QUESTION

Why does this code not produce a log that is readable by tensorboard?

Asked 2019-Jul-17 at 17:32

Using Python (3.6) / Jupyter (5.7.8) on WIndows 10 .. I have tried many simple examples of trying to generate log files for tensorboard including this:

...

ANSWER

Answered 2019-Jul-16 at 20:19

You might not have the basics about tensorboard so let me explain a bit. You created a graph, and logged it to a file. The only thing your log file will contain is a graph with a single operator (Add) and two inputs.

Logging scalars is often done to track your loss function when training neural networks, this seems like a decent guide.

EDIT

1) Are you sure tensorboard is getting your path correctly? Can you go to your log folder in the terminal and run tensorboard --logdir ./ from there?

2) try using "", I tried using the following commands:

Source https://stackoverflow.com/questions/57046294

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

Vulnerabilities

No vulnerabilities reported

Install TensorLog

You can download it from GitHub.
You can use TensorLog 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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