mlflow-example | An example MLflow project

by mlflow Python Version: v1.0.0 License: Apache-2.0

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

kandi X-RAY | mlflow-example Summary

mlflow-example is a Python library typically used in Data Science, Pandas applications. mlflow-example has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However mlflow-example build file is not available. You can download it from GitHub.

An example MLflow project

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Quality

Security

License

Reuse

Support

mlflow-example has a low active ecosystem.

It has 178 star(s) with 265 fork(s). There are 20 watchers for this library.

It had no major release in the last 12 months.

There are 7 open issues and 1 have been closed. On average issues are closed in 37 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of mlflow-example is v1.0.0

Quality

mlflow-example has 0 bugs and 0 code smells.

Security

mlflow-example has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

mlflow-example code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

mlflow-example 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

mlflow-example releases are available to install and integrate.

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

mlflow-example saves you 15 person hours of effort in developing the same functionality from scratch.

It has 42 lines of code, 1 functions and 1 files.

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

Top functions reviewed by kandi - BETA

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

Compute the mean squared error .

Get all kandi verified functions for this library.

mlflow-example Key Features

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mlflow-example Examples and Code Snippets

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Community Discussions

Trending Discussions on mlflow-example

Kubernetes MLflow Service Pod Connection

QUESTION

Kubernetes MLflow Service Pod Connection

Asked 2020-Apr-21 at 20:02

I have deployed a build of mlflow to a pod in my kubernetes cluster. I'm able to port forward to the mlflow ui, and now I'm attempting to test it. To do this, I am running the following test on a jupyter notebook that is running on another pod in the same cluster.

...

ANSWER

Answered 2020-Apr-21 at 20:02

Your mlflow-tracking-server service should have ClusterIP type, not LoadBalancer.

Both pods are inside the same Kubernetes cluster, therefore, there is no reason to use LoadBalancer Service type.

For some parts of your application (for example, frontends) you may want to expose a Service onto an external IP address, that’s outside of your cluster. Kubernetes ServiceTypes allow you to specify what kind of Service you want. The default is ClusterIP.

Type values and their behaviors are:

ClusterIP: Exposes the Service on a cluster-internal IP. Choosing this value makes the Service only reachable from within the cluster. This is the default ServiceType.

NodePort: Exposes the Service on each Node’s IP at a static port (the NodePort). A > ClusterIP Service, to which the NodePort Service routes, is automatically created. You’ll > be able to contact the NodePort Service, from outside the cluster, by requesting :.

LoadBalancer: Exposes the Service externally using a cloud provider’s load balancer. NodePort and ClusterIP Services, to which the external load balancer routes, are automatically created.

ExternalName: Maps the Service to the contents of the externalName field (e.g. foo.bar.example.com), by returning a CNAME record with its value. No proxying of any kind is set up.

kubernetes.io

Source https://stackoverflow.com/questions/61351024

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

Vulnerabilities

No vulnerabilities reported

Install mlflow-example

You can download it from GitHub.
You can use mlflow-example 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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