mlapp | ML model serving app based on APIs | Time Series Database library

by gurvindersingh Python Version: Current License: MIT

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

kandi X-RAY | mlapp Summary

mlapp is a Python library typically used in Database, Time Series Database, Swagger, Prometheus applications. mlapp 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.

A web application to serve model based on Fastai v1 library. Application is built on Molten Framework due to it's inbuilt support for modern tooling: Swagger, OpenAPI, Prometheus etc.

Support

Quality

Security

License

Reuse

Support

mlapp has a low active ecosystem.

It has 71 star(s) with 6 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 2 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of mlapp is current.

Quality

mlapp has 0 bugs and 0 code smells.

Security

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

mlapp code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

mlapp 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

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

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

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

Top functions reviewed by kandi - BETA

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

Load the model
Construct a path to the given path
Configure logging

Get all kandi verified functions for this library.

mlapp Key Features

No Key Features are available at this moment for mlapp.

mlapp Examples and Code Snippets

No Code Snippets are available at this moment for mlapp.

Community Discussions

Trending Discussions on mlapp

R2020b: App Designer says can't open File MATLAB failing if condition

Passing Ajax Request to Django View on Multiple Button Click

QUESTION

R2020b: App Designer says can't open File MATLAB failing if condition

Asked 2020-Nov-27 at 19:30

How to solve this

C:\Users\SHUBHAM\Documents\MATLAB\Dymola_App.mlapp: Can't open file.

What I did is:

I created a GUI in MATLAB using AppDesigner

When I click Run it says that "C:\Users\SHUBHAM\Documents\MATLAB\Dymola_App.mlapp: Can't open file."

After close look I see that it is due to if condition

This is failing

This is working

...

ANSWER

Answered 2020-Nov-27 at 19:30

Nested if condition worked but dont know why that failed!

Source https://stackoverflow.com/questions/64795052

QUESTION

Passing Ajax Request to Django View on Multiple Button Click

Asked 2020-Aug-11 at 14:21

I'm trying to Pass data to View with two Click events with Ajax Post, everything goes well, when I have only one Button event (click event), but when I added the second click event I'm getting and error

If there is a need of more reference please let me know.

Template (With Two Buttons and Two dropdowns)

...

ANSWER

Answered 2020-Aug-11 at 14:21

Here's why request.POST.get() works:

It would be natural to just use request.POST['plot1'] at first. However, what happens in this case is that if plot1 doesn't exist, it will raise a KeyError which is what happened in your case.

The solution is to use request.POST.get('plot1', False) this method allows you to specify a default parameter to be used if 'plot1 doesn't exist. False is the default parameter in this case.

Source https://stackoverflow.com/questions/63195201

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

Vulnerabilities

No vulnerabilities reported

Install mlapp

You can download it from GitHub.
You can use mlapp 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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