[FR] Log HTML representation of estimator in scikit-learn autologging

See original GitHub issue

Willingness to contribute

No. I cannot contribute this feature at this time.

Proposal Summary

Log an HTML representation of an estimator in scikit-learn autologging using sklearn.utils.estimator_html_repr.

Motivation

What is the use case for this feature?

To make it easier to understand the structure of a auto-logged estimator.

Why is this use case valuable to support for MLflow users in general?

Why is this use case valuable to support for your project(s) or organization?

Why is it currently difficult to achieve this use case?

Details

No response

What component(s) does this bug affect?

area/artifacts: Artifact stores and artifact logging
area/build: Build and test infrastructure for MLflow
area/docs: MLflow documentation pages
area/examples: Example code
area/model-registry: Model Registry service, APIs, and the fluent client calls for Model Registry
area/models: MLmodel format, model serialization/deserialization, flavors
area/pipelines: Pipelines, Pipeline APIs, Pipeline configs, Pipeline Templates
area/projects: MLproject format, project running backends
area/scoring: MLflow Model server, model deployment tools, Spark UDFs
area/server-infra: MLflow Tracking server backend
area/tracking: Tracking Service, tracking client APIs, autologging

What interface(s) does this bug affect?

area/uiux: Front-end, user experience, plotting, JavaScript, JavaScript dev server
area/docker: Docker use across MLflow’s components, such as MLflow Projects and MLflow Models
area/sqlalchemy: Use of SQLAlchemy in the Tracking Service or Model Registry
area/windows: Windows support

What language(s) does this bug affect?

language/r: R APIs and clients
language/java: Java APIs and clients
language/new: Proposals for new client languages

What integration(s) does this bug affect?

integrations/azure: Azure and Azure ML integrations
integrations/sagemaker: SageMaker integrations
integrations/databricks: Databricks integrations

Issue Analytics

State:
Created a year ago
Comments:21 (20 by maintainers)

Top GitHub Comments

1reaction

RohanBha1commented, Sep 20, 2022

Yes, I’ll be done by tonight, sorry haven’t updated in a while.

0reactions

RohanBha1commented, Oct 2, 2022

Let me know if I need to make any further changes

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