Open BenWilson2 opened 2 years ago
For any questions, concerns, or clarification on implementing this issue, please ping @BenWilson2
Hi @BenWilson2. I'd like to collaborate and take up this issue. You can add me as the primary contributor. Thanks and Regards Archit Singhal
Hi @BenWilson2, diviner documentation and the current MLFlow documentation look similar in explaining the concepts. The difference is, that there are fewer comments in the MLFlow documentation. The idea behind this FR is to split the file into chunks and explain them individually? I think I'm missing something here. Would be great if you can provide some clarifications.
Hey there! I would like to contribute here!
@tiagotele sounds great! Feel free to select a flavor and draft up a notebook example that showcases full use of MLflow and the respective flavor for logging metrics, parameters, tags, registering a model, etc :) We'll work together on getting the Examples page in the documentation reworked to support the display of it!
@tiagotele sounds great! Feel free to select a flavor and draft up a notebook example that showcases full use of MLflow and the respective flavor for logging metrics, parameters, tags, registering a model, etc :) We'll work together on getting the Examples page in the documentation reworked to support the display of it!
Ok. I'll start it and post here when I have updates/questions.
Hi there.
@BenWilson2 I have few questions about the output of this FR:
Hey there, I would like to contribute here. Can you please assign me as a contributor for this issue? I am also available to collaborate and do the work if needed. I am passionate about learning this. I hope my skills will help you!
Hey there, I would like to contribute here. Can you please assign me as a contributor for this issue? I am also available to collaborate and do the work if needed. I am passionate about learning this. @BenWilson2
MLflow Roadmap Item
This is an MLflow Roadmap item that has been prioritized by the MLflow maintainers. We’ve identified this feature as a highly requested addition to the MLflow package based on community feedback. We're seeking a community contribution for the implementation of this feature and will enthusiastically support the development and review of a submitted PR for this.
Contribution Note
As with other roadmap items, there may be a desire for multiple contributors to work on an issue. While we don’t discourage collaboration, we strongly encourage that a primary contributor is assigned to roadmap issues to simplify the merging process. The items on the roadmap are of a high priority. Due to the wide-spread demand of roadmap features, we encourage potential contributors to only agree to take on the work of creating a PR, making changes, and ensuring that test coverage is adequately created for the feature if they are willing and able to see the implementation through to a merged state.
Feature scope
This roadmap feature’s complexity is classified as:
good-first-issue
: This feature is limited in complexity and effort required to implement.simple
: This feature does not require a large amount of effort to implement and / or is clear enough to not need a design discussion with maintainers.involved
: This feature will require a substantial amount of development effort but does not require an agreed-upon design from the maintainers. The feedback given during the PR phase may be involved and necessitate multiple iterations before approval. (Please bear with us as we collaborate with you to make a great contribution)design-recommended
: This is a substantial feature that should have a design document approved prior to working on an implementation (to save your time, not ours). After agreeing to work on this feature, a maintainer will be assigned to support you throughout the development process.Proposal Summary
Currently, the examples page within the docs provides links to the files within Github, reducing the utility of the tutorials and examples that currently exist. This FR is intended to convert this design to an inline display of example code that can be explained and referenced with walkthrough explanations of the functionality shown. For a reference of what this should be converted to, see the docs for diviner. The inline code examples to create this display are here.
Note that some additional dependencies will be required to be added here to give sphinx the ability to render jupyter notebooks (
nbsphinx
) and other features requiringpandoc
.In the process of creating these pages, a full walkthrough of what the rendered script is, as well as additional guidance on its use and any further anecdotal comments about what it is showing will be enthusiastically welcomed.
Motivation
What component(s), interfaces, languages, and integrations does this feature affect?
Components
area/artifacts
: Artifact stores and artifact loggingarea/build
: Build and test infrastructure for MLflowarea/docs
: MLflow documentation pagesarea/examples
: Example codearea/model-registry
: Model Registry service, APIs, and the fluent client calls for Model Registryarea/models
: MLmodel format, model serialization/deserialization, flavorsarea/projects
: MLproject format, project running backendsarea/scoring
: MLflow Model server, model deployment tools, Spark UDFsarea/server-infra
: MLflow Tracking server backendarea/tracking
: Tracking Service, tracking client APIs, autologgingInterfaces
area/uiux
: Front-end, user experience, plotting, JavaScript, JavaScript dev serverarea/docker
: Docker use across MLflow's components, such as MLflow Projects and MLflow Modelsarea/sqlalchemy
: Use of SQLAlchemy in the Tracking Service or Model Registryarea/windows
: Windows supportLanguages
language/r
: R APIs and clientslanguage/java
: Java APIs and clientslanguage/new
: Proposals for new client languagesIntegrations
integrations/azure
: Azure and Azure ML integrationsintegrations/sagemaker
: SageMaker integrationsintegrations/databricks
: Databricks integrations