production_ml | A Guide to Scaling Machine Learning Models in Production | Machine Learning library

by harkous Python Version: Current License: No License

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

kandi X-RAY | production_ml Summary

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

A Guide to Scaling Machine Learning Models in Production

Support

Quality

Security

License

Reuse

Support

production_ml has a low active ecosystem.

It has 83 star(s) with 26 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of production_ml is current.

Quality

production_ml has 0 bugs and 0 code smells.

Security

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

production_ml code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

production_ml 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

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

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

production_ml saves you 33 person hours of effort in developing the same functionality from scratch.

It has 90 lines of code, 2 functions and 2 files.

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

Top functions reviewed by kandi - BETA

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

Predict class
Preprocess text into a matrix

Get all kandi verified functions for this library.

production_ml Key Features

No Key Features are available at this moment for production_ml.

production_ml Examples and Code Snippets

No Code Snippets are available at this moment for production_ml.

Community Discussions

Trending Discussions on production_ml

Keras flask API not giving me output

QUESTION

Keras flask API not giving me output

Asked 2019-Jun-24 at 20:21

I am very new to flask. I developed a document classification model using CNN model in Keras in Python3. Below is the code i am using for app.py file in windows machine.

I got the code example from here and improvised it to suit my needs

...

ANSWER

Answered 2018-May-28 at 15:08

Now it is what I guessed. There is a problem when using cross-threads with Flask and Tensorflow. Here is a fix for it:

Source https://stackoverflow.com/questions/50567010

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

Vulnerabilities

No vulnerabilities reported

Install production_ml

You can download it from GitHub.
You can use production_ml 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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