MLServer | An inference server for your machine learning models, including support for multiple frameworks, mul | Machine Learning library
kandi X-RAY | MLServer Summary
kandi X-RAY | MLServer Summary
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.
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Top functions reviewed by kandi - BETA
- 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 .
MLServer Key Features
MLServer Examples and Code Snippets
Community Discussions
Trending Discussions on MLServer
QUESTION
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 13:44python need to know where is Flask App
edit configurations and add FLASK_APP variable to env
*edit replace configurations with
QUESTION
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.
SetupInstallation 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
ConfigurationMSI (s) (50:78) [09:50:07:880]: Product: Microsoft R Server -- Installation completed successfully.
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 12:17Problem 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:
QUESTION
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
at
...ANSWER
Answered 2019-Oct-30 at 13:35I 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
QUESTION
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
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 01:32No. 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
QUESTION
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 06:10OK, 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.
QUESTION
Can someone explain the differences between --packages
and --jars
in a spark-submit script?
ANSWER
Answered 2018-Jul-20 at 04:45if you do spark-submit --help
it will show:
QUESTION
The following spark-submit script works:
...ANSWER
Answered 2018-Jul-12 at 08:17The corresponding option is spark.jars.packages
QUESTION
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 20:43I 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.
QUESTION
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 00:50You can run this command:
sudo -i az ml admin node stop --computenode --webnode
QUESTION
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 21:39RStudio 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.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install MLServer
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.
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