Skip to content

getstartednotebook_quickstart#3812

Open
Gnanasundaramsampath-sys wants to merge 7 commits intomainfrom
v-sampath-notebook_quickstart
Open

getstartednotebook_quickstart#3812
Gnanasundaramsampath-sys wants to merge 7 commits intomainfrom
v-sampath-notebook_quickstart

Conversation

@Gnanasundaramsampath-sys

Description

Checklist

  • I have read the contribution guidelines.
  • I have coordinated with the docs team (mldocs@microsoft.com) if this PR deletes files or changes any file names or file extensions.
  • Pull request includes test coverage for the included changes.
  • This notebook or file is added to the CODEOWNERS file, pointing to the author or the author's team.

…r 502 error

- pip<=21.3.1 (2021) is incompatible with mlflow==2.17.0 (2024); updated to pip>=23.0
- pandas==1.5.3 is too old relative to scikit-learn==1.5.2 and mlflow==2.17.0; updated to pandas>=2.0.0
- These mismatched versions caused the serving container liveness probe to fail with HTTP 502
Use MLflow default inferred environment for registered sklearn model.
This avoids deployment-time container startup failures (liveness 502)
caused by custom environment resolution/loading issues.
@microsoft-github-policy-service

@Gnanasundaramsampath-sys please read the following Contributor License Agreement(CLA). If you agree with the CLA, please reply with the following information.

@microsoft-github-policy-service agree [company="{your company}"]

Options:

  • (default - no company specified) I have sole ownership of intellectual property rights to my Submissions and I am not making Submissions in the course of work for my employer.
@microsoft-github-policy-service agree
  • (when company given) I am making Submissions in the course of work for my employer (or my employer has intellectual property rights in my Submissions by contract or applicable law). I have permission from my employer to make Submissions and enter into this Agreement on behalf of my employer. By signing below, the defined term “You” includes me and my employer.
@microsoft-github-policy-service agree company="Microsoft"
Contributor License Agreement

Contribution License Agreement

This Contribution License Agreement (“Agreement”) is agreed to by the party signing below (“You”),
and conveys certain license rights to Microsoft Corporation and its affiliates (“Microsoft”) for Your
contributions to Microsoft open source projects. This Agreement is effective as of the latest signature
date below.

  1. Definitions.
    “Code” means the computer software code, whether in human-readable or machine-executable form,
    that is delivered by You to Microsoft under this Agreement.
    “Project” means any of the projects owned or managed by Microsoft and offered under a license
    approved by the Open Source Initiative (www.opensource.org).
    “Submit” is the act of uploading, submitting, transmitting, or distributing code or other content to any
    Project, including but not limited to communication on electronic mailing lists, source code control
    systems, and issue tracking systems that are managed by, or on behalf of, the Project for the purpose of
    discussing and improving that Project, but excluding communication that is conspicuously marked or
    otherwise designated in writing by You as “Not a Submission.”
    “Submission” means the Code and any other copyrightable material Submitted by You, including any
    associated comments and documentation.
  2. Your Submission. You must agree to the terms of this Agreement before making a Submission to any
    Project. This Agreement covers any and all Submissions that You, now or in the future (except as
    described in Section 4 below), Submit to any Project.
  3. Originality of Work. You represent that each of Your Submissions is entirely Your original work.
    Should You wish to Submit materials that are not Your original work, You may Submit them separately
    to the Project if You (a) retain all copyright and license information that was in the materials as You
    received them, (b) in the description accompanying Your Submission, include the phrase “Submission
    containing materials of a third party:” followed by the names of the third party and any licenses or other
    restrictions of which You are aware, and (c) follow any other instructions in the Project’s written
    guidelines concerning Submissions.
  4. Your Employer. References to “employer” in this Agreement include Your employer or anyone else
    for whom You are acting in making Your Submission, e.g. as a contractor, vendor, or agent. If Your
    Submission is made in the course of Your work for an employer or Your employer has intellectual
    property rights in Your Submission by contract or applicable law, You must secure permission from Your
    employer to make the Submission before signing this Agreement. In that case, the term “You” in this
    Agreement will refer to You and the employer collectively. If You change employers in the future and
    desire to Submit additional Submissions for the new employer, then You agree to sign a new Agreement
    and secure permission from the new employer before Submitting those Submissions.
  5. Licenses.
  • Copyright License. You grant Microsoft, and those who receive the Submission directly or
    indirectly from Microsoft, a perpetual, worldwide, non-exclusive, royalty-free, irrevocable license in the
    Submission to reproduce, prepare derivative works of, publicly display, publicly perform, and distribute
    the Submission and such derivative works, and to sublicense any or all of the foregoing rights to third
    parties.
  • Patent License. You grant Microsoft, and those who receive the Submission directly or
    indirectly from Microsoft, a perpetual, worldwide, non-exclusive, royalty-free, irrevocable license under
    Your patent claims that are necessarily infringed by the Submission or the combination of the
    Submission with the Project to which it was Submitted to make, have made, use, offer to sell, sell and
    import or otherwise dispose of the Submission alone or with the Project.
  • Other Rights Reserved. Each party reserves all rights not expressly granted in this Agreement.
    No additional licenses or rights whatsoever (including, without limitation, any implied licenses) are
    granted by implication, exhaustion, estoppel or otherwise.
  1. Representations and Warranties. You represent that You are legally entitled to grant the above
    licenses. You represent that each of Your Submissions is entirely Your original work (except as You may
    have disclosed under Section 3). You represent that You have secured permission from Your employer to
    make the Submission in cases where Your Submission is made in the course of Your work for Your
    employer or Your employer has intellectual property rights in Your Submission by contract or applicable
    law. If You are signing this Agreement on behalf of Your employer, You represent and warrant that You
    have the necessary authority to bind the listed employer to the obligations contained in this Agreement.
    You are not expected to provide support for Your Submission, unless You choose to do so. UNLESS
    REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING, AND EXCEPT FOR THE WARRANTIES
    EXPRESSLY STATED IN SECTIONS 3, 4, AND 6, THE SUBMISSION PROVIDED UNDER THIS AGREEMENT IS
    PROVIDED WITHOUT WARRANTY OF ANY KIND, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTY OF
    NONINFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
  2. Notice to Microsoft. You agree to notify Microsoft in writing of any facts or circumstances of which
    You later become aware that would make Your representations in this Agreement inaccurate in any
    respect.
  3. Information about Submissions. You agree that contributions to Projects and information about
    contributions may be maintained indefinitely and disclosed publicly, including Your name and other
    information that You submit with Your Submission.
  4. Governing Law/Jurisdiction. This Agreement is governed by the laws of the State of Washington, and
    the parties consent to exclusive jurisdiction and venue in the federal courts sitting in King County,
    Washington, unless no federal subject matter jurisdiction exists, in which case the parties consent to
    exclusive jurisdiction and venue in the Superior Court of King County, Washington. The parties waive all
    defenses of lack of personal jurisdiction and forum non-conveniens.
  5. Entire Agreement/Assignment. This Agreement is the entire agreement between the parties, and
    supersedes any and all prior agreements, understandings or communications, written or oral, between
    the parties relating to the subject matter hereof. This Agreement may be assigned by Microsoft.

Three root-cause fixes:
1. Restore correct mlflow.sklearn.log_model() call - previous edit had
   introduced a literal backslash-n (\\n) making main.py unparseable Python,
   causing every training job to fail silently.
2. Add minimal conda_env to log_model so the MLflow model artifact carries
   only the required serving packages (mlflow>=2.0, scikit-learn==1.5.2,
   cloudpickle, numpy, pandas, psutil) with pip as the installer - avoids the
   large Azure ML training env being baked into the serving container.
3. Make create_job cell wait for the training job to complete via
   ml_client.jobs.stream() before proceeding to deployment. Without this,
   deployment picked up models from previous runs that carried the broken
   original conda_env (pip<=21.3.1), causing persistent 502 liveness failures.
…racking server

The sklearn-1.5 curated environment ships MLflow 2.17 which introduced a new
'LoggedModel' entity requiring POST /api/2.0/mlflow/logged-models/create.
Azure ML's MLflow tracking server does not implement this endpoint, causing:
  'UserError: User process python exited with status code 1'
  'rest_store.create_logged_model -> HTTP 404/not-implemented'

Two fixes:
1. job environment_variables: MLFLOW_ENABLE_LOGGED_MODEL_CREATION=false
   Instructs MLflow 2.17 to skip the new LoggedModel creation path and use
   the legacy artifact-only log path compatible with Azure ML tracking.
2. mlflow.sklearn.autolog(log_models=False)
   Prevents autolog from also attempting to call _create_logged_model()
   during clf.fit(), which would fail the same way independently.
Training was still failing in cell 6 with:
  /api/2.0/mlflow/logged-models -> 404
from mlflow.sklearn.log_model in curated sklearn-1.5 env.

Switch notebook training script to the same working repo pattern used by
Responsible AI samples:
- save sklearn model to a temp local directory
- register using MlflowClient.create_registered_model/create_model_version
  with file:// source URI
- keep explicit conda_env in the saved model artifact for deployment runtime

This bypasses logged-models endpoint entirely while preserving model registry
and downstream endpoint deployment flow.
… using unique model names

Deployment was still failing with liveness 502 after training succeeded.
Two hardening changes:
1) Stop passing custom conda_env when saving the model artifact used for registry
   (let mlflow infer default env from training environment to avoid dependency drift).
2) Use a unique registered model name per run (credit_defaults_model_<uuid>)
   to guarantee deployment uses the model created in the current CI run and
   cannot accidentally select stale/broken versions from prior runs.

Also keeps prior logged-models workaround and job wait behavior.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant