Add example of logging params and metrics for Tensorflow #8313
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Signed-off-by: Dipanjan Kailthya <dipanjan.kailthya@gmail.com>
github-actions
bot
added
area/docs
|
Documentation preview for b4dd222 will be available here when this CircleCI job completes successfully. More info
|
Signed-off-by: Dipanjan Kailthya <dipanjan.kailthya@gmail.com>
harupy
approved these changes
Apr 26, 2023
harupy
reviewed
Apr 26, 2023
Co-authored-by: Harutaka Kawamura <hkawamura0130@gmail.com> Signed-off-by: Dipanjan Kailthya <dipanjan.kailthya@gmail.com>
# Conflicts: # docs/source/models.rst
…flow into 6099-add-tensorflow-example
Signed-off-by: Dipanjan Kailthya <dipanjan.kailthya@gmail.com>
Signed-off-by: Dipanjan Kailthya <dipanjan.kailthya@gmail.com>
Done, can you please check again @harupy? |
42 tasks
lobrien
pushed a commit
to lobrien/mlflow
that referenced
this pull request
May 10, 2023
* Add example of logging params and metrics for tensorflow Signed-off-by: Dipanjan Kailthya <dipanjan.kailthya@gmail.com> * Fix pre-commit error Signed-off-by: Dipanjan Kailthya <dipanjan.kailthya@gmail.com> * Update docs/source/models.rst Co-authored-by: Harutaka Kawamura <hkawamura0130@gmail.com> Signed-off-by: Dipanjan Kailthya <dipanjan.kailthya@gmail.com> * Remove newline Signed-off-by: Dipanjan Kailthya <dipanjan.kailthya@gmail.com> * Remove newline Signed-off-by: Dipanjan Kailthya <dipanjan.kailthya@gmail.com> --------- Signed-off-by: Dipanjan Kailthya <dipanjan.kailthya@gmail.com> Co-authored-by: Harutaka Kawamura <hkawamura0130@gmail.com> Signed-off-by: Larry O’Brien <larry.obrien@databricks.com>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Related Issues/PRs
#6099What changes are proposed in this pull request?
(Please fill in changes proposed in this fix)
Add example of logging params and metrics for Tensorflow.
How is this patch tested?
Does this PR change the documentation?
Release Notes
Is this a user-facing change?
(Details in 1-2 sentences. You can just refer to another PR with a description if this PR is part of a larger change.)
What component(s), interfaces, languages, and integrations does this PR 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/recipes: Recipes, Recipe APIs, Recipe configs, Recipe Templatesarea/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, autologgingInterface
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 supportLanguage
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 integrationsHow should the PR be classified in the release notes? Choose one:
rn/breaking-change- The PR will be mentioned in the "Breaking Changes" sectionrn/none- No description will be included. The PR will be mentioned only by the PR number in the "Small Bugfixes and Documentation Updates" sectionrn/feature- A new user-facing feature worth mentioning in the release notesrn/bug-fix- A user-facing bug fix worth mentioning in the release notesrn/documentation- A user-facing documentation change worth mentioning in the release notes