Use len(classes_) instead of len(set(y_true))
#5275
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Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
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Would you paste a snapshot plot as testing result ? |
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WeichenXu123
approved these changes
Jan 17, 2022
Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
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Signed-off-by: harupy <hkawamura0130@gmail.com>
harupy
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Jan 17, 2022
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| "figure.dpi": 288, | ||
| "figure.figsize": [6.0, 4.0], |
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This might not be the best approach.
harupy
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* Generating changelog for MLflow 1.22.1.dev0 Signed-off-by: Jenkins <jenkins@databricks.com> * Tweaks Signed-off-by: dbczumar <corey.zumar@databricks.com> * Tweak Signed-off-by: dbczumar <corey.zumar@databricks.com> * Fix typo Signed-off-by: dbczumar <corey.zumar@databricks.com> * Small fixes Signed-off-by: dbczumar <corey.zumar@databricks.com> * Include model return type Signed-off-by: dbczumar <corey.zumar@databricks.com> * Link Signed-off-by: dbczumar <corey.zumar@databricks.com> * add #5273 Signed-off-by: harupy <hkawamura0130@gmail.com> * add #5275 Signed-off-by: harupy <hkawamura0130@gmail.com> Co-authored-by: Jenkins <jenkins@databricks.com> Co-authored-by: dbczumar <corey.zumar@databricks.com> Co-authored-by: harupy <hkawamura0130@gmail.com>
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What changes are proposed in this pull request?
Use
len(classes_)instead oflen(set(y_true))when computing the number of classes.How is this patch tested?
Existing tests
Does this PR change the documentation?
ci/circleci: build_doccheck. If it's successful, proceed to thenext step, otherwise fix it.
Detailson the right to open the job page of CircleCI.Artifactstab.docs/build/html/index.html.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/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