MLServer | An inference server for your machine learning models, including support for multiple frameworks, mul | Machine Learning library

by SeldonIO Python Version: 1.4.0rc5 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | MLServer Summary

MLServer is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Docker applications. MLServer has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However MLServer build file is not available. You can install using 'pip install MLServer' or download it from GitHub, PyPI.

MLServer aims to provide an easy way to start serving your machine learning models through a REST and gRPC interface, fully compliant with KFServing's V2 Dataplane spec. Watch a quick video introducing the project here. You can read more about the goals of this project on the inital design document.

Support

Quality

Security

License

Reuse

Support

MLServer has a low active ecosystem.

It has 416 star(s) with 129 fork(s). There are 23 watchers for this library.

There were 10 major release(s) in the last 12 months.

There are 85 open issues and 245 have been closed. On average issues are closed in 308 days. There are 13 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of MLServer is 1.4.0rc5

Quality

MLServer has 0 bugs and 0 code smells.

Security

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

MLServer code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

MLServer 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

MLServer releases are available to install and integrate.

Deployable package is available in PyPI.

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

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

MLServer saves you 2122 person hours of effort in developing the same functionality from scratch.

It has 4652 lines of code, 288 functions and 82 files.

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

Top functions reviewed by kandi - BETA

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

Wrapper method for metrics .
Create a Flask application .
Handles the request .
Adds a GRPC inference service .
Initialize the connection .
Create a V2 inference request .
Parse parameters from environment variables .
Refresh default model .
Creates a pipeline from the given settings .
This is the main thread .

Get all kandi verified functions for this library.

MLServer Key Features

No Key Features are available at this moment for MLServer.

MLServer Examples and Code Snippets

No Code Snippets are available at this moment for MLServer.

Community Discussions

Trending Discussions on MLServer

How to get Flask application working in VS Code?

Machine Learning Server remote session setup fails

How to fix 'Failure in `windows_configure_web_node.py FileNotFoundError`

How do I upgrade Microsoft R Open when its installed from the Microsoft Machine Learning Server on Ubuntu?

Spark Standalone: application gets 0 cores

Spark-Submit: --packages vs --jars

cassandra/datastax: programatically setting datastax package

Scala. NoSuchMethodException when instantiating trait

How do I stop Microsoft ML server on linux?

How to Choose R Server's R as Default in Operationalization, Remote R Workspace and RStudio Server?

QUESTION

How to get Flask application working in VS Code?

Asked 2020-Jun-23 at 13:44

I have copied the example from the Flask-RESTful quick start page into a file run.py and started it from the command line, which works fine:

...

ANSWER

Answered 2020-Jun-23 at 13:44

python need to know where is Flask App

edit configurations and add FLASK_APP variable to env

*edit replace configurations with

Source https://stackoverflow.com/questions/62533996

QUESTION

Machine Learning Server remote session setup fails

Asked 2020-Jan-28 at 12:38

i want to setup the Machine Learning Server for R remote sessions. Unfortunately it fails with "Unknown Error". Here is what i did and what i got as output.

Setup

Installation of Microsoft Machine Learning Server 9.3.0 - Offline Installation / with R, without Python.

Instructions from Offline installation for Machine Learning Server for Windows

The installation step was successful

MSI (s) (50:78) [09:50:07:880]: Product: Microsoft R Server -- Installation completed successfully.

Configuration

Configuration of R remote sessions.

Instructions from Launch the administration tool/CLI to manage the operationalization configuration.

Here the output from az ml admin bootstrap:

...

ANSWER

Answered 2019-Aug-19 at 12:17

Problem was a bug in the Microsoft Machine Learning Server setup. If you unselect Python during the setup the config file ...\o16n\Microsoft.MLServer.ComputeNode\appsettings.json will be created incorrectly.

You have to replace:

Source https://stackoverflow.com/questions/56935241

QUESTION

How to fix 'Failure in `windows_configure_web_node.py FileNotFoundError`

Asked 2019-Oct-30 at 13:35

I'm trying to configure Microsoft Machine Learning Server (9.4) to work on my local computer.

I'm getting stuck at following this instruction: https://docs.microsoft.com/en-us/machine-learning-server/operationalize/configure-machine-learning-server-one-box

...

ANSWER

Answered 2019-Oct-30 at 13:35

I was able to find the solution for my problems.

My system could not find powershell.exe, as it was not added to the PATH environment variable.

By adding a reference to

Source https://stackoverflow.com/questions/58543479

QUESTION

How do I upgrade Microsoft R Open when its installed from the Microsoft Machine Learning Server on Ubuntu?

Asked 2018-Nov-03 at 01:32

How do I upgrade Microsoft R Open on Linux?

The latest Microsoft Machine Learning Server 9.3.0, (Formally Microsoft R Server) automatically installs MRO however it hasn't been kept as up-to-date as MRO has. Currently it installs Microsoft R Open 3.4.3.

MMLS is installed to: /opt/microsoft/mlserver/9.3.0

R is installed to: /opt/microsoft/mlserver/9.3.0/runtime/R

Could I just delete the R folder above and replace it with the latest R version?

$ whereis R

R: /usr/bin/R /usr/local/lib/R

...

ANSWER

Answered 2018-Nov-03 at 01:32

No. The current version of MRO (MRO 3.5.1) is not compatible with Machine Learning Server 9.3.0--the R internals have changed, and so the various MLS R packages built under 3.4.3 will not work with R 3.5.1.

Regards, Rich Calaway Microsoft R Open Team

Source https://stackoverflow.com/questions/53126609

QUESTION

Spark Standalone: application gets 0 cores

Asked 2018-Jul-24 at 13:40

I seem to be unable to assign cores to an application. This leads to the following (apparently common) error message:

...

ANSWER

Answered 2018-Jul-13 at 06:10

OK, this is definitely a case of programmer error.

But maybe others will make a similar error. The Master had been used as a local Spark previously. I had put some executor settings in spark-defaults.conf and then months later had forgotten about this.

There is a cascading hierarchy whereby SparkConf settings get precedence, then spark-submit settings and then spark-defaults.conf. spark-defaults.conf overrides defaults set by Apache Spark team

Once I removed the settings from spark-defaults, all was fixed.

Source https://stackoverflow.com/questions/51318426

QUESTION

Spark-Submit: --packages vs --jars

Asked 2018-Jul-21 at 05:47

Can someone explain the differences between --packages and --jars in a spark-submit script?

...

ANSWER

Answered 2018-Jul-20 at 04:45

if you do spark-submit --help it will show:

Source https://stackoverflow.com/questions/51434808

QUESTION

cassandra/datastax: programatically setting datastax package

Asked 2018-Jul-12 at 08:17

The following spark-submit script works:

...

ANSWER

Answered 2018-Jul-12 at 08:17

The corresponding option is spark.jars.packages

Source https://stackoverflow.com/questions/51299826

QUESTION

Scala. NoSuchMethodException when instantiating trait

Asked 2018-Jun-22 at 20:59

After refactoring some projects, I I got the following Exception when calling a scala class that implements a trait from a Spring Boot application

8/06/22 13:32:26 ERROR SpringApplication: Application startup failed org.springframework.beans.factory.BeanCreationException: Error creating bean with name 'MLController' defined in URL [jar:file:/home/xxxx/environment/spark-2.2.1-bin-hadoop2.7/./xxxx/ikodaanalysis-mlserver-0.1.0.jar!/xxx/mlserver/MLController.class]: Instantiation of bean failed; nested exception is org.springframework.beans.BeanInstantiationException: Failed to instantiate [xxx.mlserver.MLController]: Constructor threw exception; nested exception is java.lang.NoSuchMethodError: ikoda.utilobjects.SparkConfProviderWithStreaming.$init$(Lxxx/utilobjects/SparkConfProviderWithStreaming;)V

I checked the dependencies and everything appeared to be present in the jar. So why was I getting the Exception?

...

ANSWER

Answered 2018-Jun-22 at 20:43

I found the answer here. I felt it was probably a fairly common issue and worth reporting on SO.

I assume it's down to Java 8 and Scala 2.12 expecting to find the "init" method in the ScalaDsl.class file (new style Traits as interfaces) rather than in ScalaDsl$class.class file (old style Traits as interface and supporting class).

...... I think the Scala 2.12 package needs to be compiled (not just run) under Java 8 to avoid this problem.

Source https://stackoverflow.com/questions/50995337

QUESTION

How do I stop Microsoft ML server on linux?

Asked 2018-Apr-27 at 00:50

I have Microsoft's Machine Learning server (formally revolution analytics) running on Ubuntu 16.04 . I started it with /opt/microsoft/mlserver/9.3.0/bin/R/activate.sh but the documentation doesn't provide a way of stopping it.

...

ANSWER

Answered 2018-Apr-27 at 00:50

You can run this command:

sudo -i az ml admin node stop --computenode --webnode

Source https://stackoverflow.com/questions/50053322

QUESTION

How to Choose R Server's R as Default in Operationalization, Remote R Workspace and RStudio Server?

Asked 2018-Jan-31 at 21:39

So I've set up an Azure Data Science Virtual Machine on Linux (Ubuntu) and I've executed the following on the terminal to enable Remote R workspace, RStudio Server, R Server Operationalization and hadoop:

...

ANSWER

Answered 2018-Jan-31 at 21:39

RStudio Server is installed on the Ubuntu DSVM, but the service is disabled by default as it does not support SSL. You can enable it with systemctl enable rstudio-server, then start it with systemctl start rstudio-server.

RStudio Server uses the same R as Microsoft R Server, but the .libPaths are different, which is why you cannot load the MRS packages. You will need to manually set the .libPaths so they match.

Source https://stackoverflow.com/questions/48480541

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

Vulnerabilities

No vulnerabilities reported

Install MLServer

You can install using 'pip install MLServer' or download it from GitHub, PyPI.
You can use MLServer 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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