flow-lab | source code that can be used to reproduce results | Machine Learning library

by flow-project Python Version: Current License: MIT

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

kandi X-RAY | flow-lab Summary

flow-lab is a Python library typically used in Artificial Intelligence, Machine Learning applications. flow-lab has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However flow-lab build file is not available. You can download it from GitHub.

Open-source code that can be used to reproduce results from experiments conducted on Flow.

Support

Quality

Security

License

Reuse

Support

flow-lab has a low active ecosystem.

It has 1 star(s) with 3 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

flow-lab has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of flow-lab is current.

Quality

flow-lab has 0 bugs and 0 code smells.

Security

flow-lab has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

flow-lab code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

flow-lab is licensed under the MIT License. This license is Permissive.

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

Reuse

flow-lab releases are not available. You will need to build from source code and install.

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

It has 509 lines of code, 12 functions and 8 files.

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

Top functions reviewed by kandi - BETA

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

Run a task .
r Calculates the densating waves .
Example example for pisaturation .
Example followerStopper example .
Return a dictionary of flow parameters .
Set up the experiment configuration .
Setup inflows .
Render the vehicle
Reset the controller .
Generate trial string for trial .

Get all kandi verified functions for this library.

flow-lab Key Features

No Key Features are available at this moment for flow-lab.

flow-lab Examples and Code Snippets

No Code Snippets are available at this moment for flow-lab.

Community Discussions

Trending Discussions on flow-lab

TensorFlow Error: ValueError("Shapes %s and %s are incompatible" % (self, other))

QUESTION

TensorFlow Error: ValueError("Shapes %s and %s are incompatible" % (self, other))

Asked 2020-Apr-27 at 17:54

I'm trying to classify images of PCBs into two categories (defected and undefected) using categorical cross-entropy as the loss function. The code for the same is as below:

...

ANSWER

Answered 2020-Apr-27 at 17:41

Your traceback link isn't working. However, try replacing categorical cross-entropy with binary cross entropy since you have only two classes.

Source https://stackoverflow.com/questions/61464888

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

Vulnerabilities

No vulnerabilities reported

Install flow-lab

You can download it from GitHub.
You can use flow-lab 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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