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Log table images #11464
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Log table images #11464
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Signed-off-by: Jesse Chan <jesse.chan@databricks.com>
Signed-off-by: Jesse Chan <jesse.chan@databricks.com>
Signed-off-by: Jesse Chan <jesse.chan@databricks.com>
Documentation preview for 944d78f will be available when this CircleCI job More info
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…1466) Signed-off-by: mlflow-automation <mlflow-automation@users.noreply.github.com> Signed-off-by: Ben Wilson <39283302+BenWilson2@users.noreply.github.com> Co-authored-by: mlflow-automation <mlflow-automation@users.noreply.github.com> Co-authored-by: Ben Wilson <39283302+BenWilson2@users.noreply.github.com>
Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
Signed-off-by: Clemens Kolbitsch <clemens.kol@gmail.com> Co-authored-by: Clemens Kolbitsch <clemens.kolbitsch@broadcom.com>
…w#11478) Signed-off-by: Ben Wilson <benjamin.wilson@databricks.com>
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Thanks Jesse, overall looks good! Let's wait for #11404.
try: | ||
import PIL | ||
except ImportError as exc: | ||
raise ImportError( |
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This could lead to strange UX - for users not interested in image logging, they will still hit this code block. We should throw a warning and skip this part instead.
width, height = image.size | ||
if width > height: | ||
new_width = 256 | ||
new_height = int(height * (new_width / width)) | ||
else: | ||
new_height = 256 | ||
new_width = int(width * (new_height / height)) |
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I remember you have a function for compressing image?
…ow#11483) Signed-off-by: Weichen Xu <weichen.xu@databricks.com>
…low#11468) Signed-off-by: Victor <victor7sun@gmail.com> Signed-off-by: dbczumar <corey.zumar@databricks.com> Co-authored-by: dbczumar <corey.zumar@databricks.com>
Signed-off-by: Daniel Lok <daniel.lok@databricks.com>
Signed-off-by: Sunish Sheth <sunishsheth2009@gmail.com> Signed-off-by: mlflow-automation <mlflow-automation@users.noreply.github.com> Co-authored-by: mlflow-automation <mlflow-automation@users.noreply.github.com>
…1495) Signed-off-by: mlflow-automation <mlflow-automation@users.noreply.github.com> Signed-off-by: Ben Wilson <39283302+BenWilson2@users.noreply.github.com> Co-authored-by: mlflow-automation <mlflow-automation@users.noreply.github.com> Co-authored-by: Ben Wilson <39283302+BenWilson2@users.noreply.github.com>
Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>
Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
Signed-off-by: harupy <17039389+harupy@users.noreply.github.com> Signed-off-by: Harutaka Kawamura <hkawamura0130@gmail.com>
…vor (mlflow#11508) Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>
Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
Signed-off-by: Serena Ruan <serena.rxy@gmail.com>
Signed-off-by: fzyzcjy <5236035+fzyzcjy@users.noreply.github.com>
…lflow#11509) Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
mlflow#11510) Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>
Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
Signed-off-by: ernestwong-db <ernest.wong@databricks.com>
…low#11514) Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
Signed-off-by: Sergey Volkov <taranarmo@gmail.com>
Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>
Signed-off-by: chenmoneygithub <chen.qian@databricks.com>
Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
Signed-off-by: Serena Ruan <serena.rxy@gmail.com>
Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
…lflow#11532) Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
Signed-off-by: Jesse Chan <jesse.chan@databricks.com> Signed-off-by: Jesse Chan <jessechanwork@gmail.com> Co-authored-by: Ben Wilson <39283302+BenWilson2@users.noreply.github.com>
Signed-off-by: Jesse Chan <jesse.chan@databricks.com>
Signed-off-by: Jesse Chan <jesse.chan@databricks.com>
Signed-off-by: Jesse Chan <jesse.chan@databricks.com>
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Related Issues/PRs
#xxxWhat changes are proposed in this pull request?
How is this PR tested?
Does this PR require documentation update?
Release Notes
Is this a user-facing 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/deployments
: MLflow Deployments client APIs, server, and third-party Deployments integrationsarea/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/none
- No description will be included. The PR will be mentioned only by the PR number in the "Small Bugfixes and Documentation Updates" sectionrn/breaking-change
- The PR will be mentioned in the "Breaking Changes" 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