Update spark support version to be 3.2 #4770
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Sep 3, 2021
| maximum: "3.1.2" | ||
| maximum: "3.2.0" |
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We need to fix set_matrix.py to allow specifying unreleased versions for pyspark:
Lines 171 to 174 in 73c97db
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Done! Added allow_unreleased_max_version
Signed-off-by: dbczumar <corey.zumar@databricks.com>
dbczumar
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@WeichenXu123 LGTM! @harupy I pushed some changes to add an allow_unreleased_max_version parameter to the YAML config for PySpark.
jinzhang21
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Sep 3, 2021
* init Signed-off-by: Weichen Xu <weichen.xu@databricks.com> * Fix set matrix Signed-off-by: dbczumar <corey.zumar@databricks.com> * Fix Signed-off-by: dbczumar <corey.zumar@databricks.com> * Format Signed-off-by: dbczumar <corey.zumar@databricks.com> Co-authored-by: dbczumar <corey.zumar@databricks.com>
BenWilson2
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Sep 7, 2021
* init Signed-off-by: Weichen Xu <weichen.xu@databricks.com> * Fix set matrix Signed-off-by: dbczumar <corey.zumar@databricks.com> * Fix Signed-off-by: dbczumar <corey.zumar@databricks.com> * Format Signed-off-by: dbczumar <corey.zumar@databricks.com> Co-authored-by: dbczumar <corey.zumar@databricks.com> Signed-off-by: benwilson <benjamin.wilson@databricks.com>
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Sep 10, 2021
* WIP build Signed-off-by: benwilson <benjamin.wilson@databricks.com> * Finish unit tests and address prophet build dependencies for serving Signed-off-by: benwilson <benjamin.wilson@databricks.com> * refactor example for prophet and add tracking validation test Signed-off-by: benwilson <benjamin.wilson@databricks.com> * adjusting build env Signed-off-by: benwilson <benjamin.wilson@databricks.com> * linting Signed-off-by: benwilson <benjamin.wilson@databricks.com> * Increase HTTP timeout to 90s. Disabled cloud storage HTTP timeout. (#4764) * Increase HTTP timeout to 120s. Disabled cloud storage HTTP timeout. * Enable auto dependency inference in spark flavor (#4759) * use infer_pip_requirements to spark.py Signed-off-by: harupy <hkawamura0130@gmail.com> * fix tests Signed-off-by: harupy <hkawamura0130@gmail.com> * fix tests Signed-off-by: harupy <hkawamura0130@gmail.com> * rename test Signed-off-by: harupy <hkawamura0130@gmail.com> * workaround for databricks Signed-off-by: harupy <hkawamura0130@gmail.com> * workaround for pyspark in databricks Signed-off-by: harupy <hkawamura0130@gmail.com> * rename test Signed-off-by: harupy <hkawamura0130@gmail.com> * address comments Signed-off-by: harupy <hkawamura0130@gmail.com> * better error message Signed-off-by: harupy <hkawamura0130@gmail.com> * fix error message Signed-off-by: harupy <hkawamura0130@gmail.com> * Fix `test_autolog_emits_warning_message_when_model_prediction_fails` (#4768) * Use AttributeError Signed-off-by: harupy <hkawamura0130@gmail.com> * comment Signed-off-by: harupy <hkawamura0130@gmail.com> * fix Signed-off-by: harupy <hkawamura0130@gmail.com> * use sanity_checking (#4767) Signed-off-by: harupy <hkawamura0130@gmail.com> * refactor: Extract the docker image building _build_image_from_context function (#4769) * refactor: Extract the docker image building _build_image_from_context function Signed-off-by: Alexey Volkov <alexey.volkov@ark-kun.com> * blacken Signed-off-by: harupy <hkawamura0130@gmail.com> Co-authored-by: harupy <hkawamura0130@gmail.com> * Fix autologging compatibility with Keras >= 2.6.0 (#4766) * Increase HTTP timeout to 90s. Disabled cloud storage HTTP timeout. (#4764) * Increase HTTP timeout to 120s. Disabled cloud storage HTTP timeout. Signed-off-by: dbczumar <corey.zumar@databricks.com> * Include keras conditionally Signed-off-by: dbczumar <corey.zumar@databricks.com> * Fixes Signed-off-by: dbczumar <corey.zumar@databricks.com> * Fix Signed-off-by: dbczumar <corey.zumar@databricks.com> * Fix root cause Signed-off-by: dbczumar <corey.zumar@databricks.com> * docstring Signed-off-by: dbczumar <corey.zumar@databricks.com> * Some test cases Signed-off-by: dbczumar <corey.zumar@databricks.com> * Some test cases Signed-off-by: dbczumar <corey.zumar@databricks.com> * Tests Signed-off-by: dbczumar <corey.zumar@databricks.com> * Format Signed-off-by: dbczumar <corey.zumar@databricks.com> * Test fixes Signed-off-by: dbczumar <corey.zumar@databricks.com> * Test fix 2 Signed-off-by: dbczumar <corey.zumar@databricks.com> * Remove keras change Signed-off-by: dbczumar <corey.zumar@databricks.com> * Use is Signed-off-by: dbczumar <corey.zumar@databricks.com> * Remove unused modules Signed-off-by: dbczumar <corey.zumar@databricks.com> * Use fixtures Signed-off-by: dbczumar <corey.zumar@databricks.com> * Docstring Signed-off-by: dbczumar <corey.zumar@databricks.com> * Fix fixtures Signed-off-by: dbczumar <corey.zumar@databricks.com> * Lint fixes Signed-off-by: dbczumar <corey.zumar@databricks.com> * Format Signed-off-by: dbczumar <corey.zumar@databricks.com> * Try preserve find module Signed-off-by: dbczumar <corey.zumar@databricks.com> * fix Signed-off-by: Weichen Xu <weichen.xu@databricks.com> * fix2 Signed-off-by: Weichen Xu <weichen.xu@databricks.com> * Simplify fluent test cases Signed-off-by: dbczumar <corey.zumar@databricks.com> * Format Signed-off-by: dbczumar <corey.zumar@databricks.com> * Tweaks, add a warning Signed-off-by: dbczumar <corey.zumar@databricks.com> * Test excludee Signed-off-by: dbczumar <corey.zumar@databricks.com> * Reverts Signed-off-by: dbczumar <corey.zumar@databricks.com> Co-authored-by: jinzhang21 <78067366+jinzhang21@users.noreply.github.com> Co-authored-by: Weichen Xu <weichen.xu@databricks.com> * Update spark support version to be 3.2 (#4770) * init Signed-off-by: Weichen Xu <weichen.xu@databricks.com> * Fix set matrix Signed-off-by: dbczumar <corey.zumar@databricks.com> * Fix Signed-off-by: dbczumar <corey.zumar@databricks.com> * Format Signed-off-by: dbczumar <corey.zumar@databricks.com> Co-authored-by: dbczumar <corey.zumar@databricks.com> * merge * merge * fix build errors * Changelog message tweak (#4777) * Tweak Signed-off-by: dbczumar <corey.zumar@databricks.com> * Lang Signed-off-by: dbczumar <corey.zumar@databricks.com> * Update CHANGELOG.rst * [ALL TESTS] Update (#4778) * Update MLflow version to 1.20.3 Signed-off-by: Jenkins <jenkins@databricks.com> * Update Signed-off-by: dbczumar <corey.zumar@databricks.com> Co-authored-by: Jenkins <jenkins@databricks.com> Co-authored-by: dbczumar <corey.zumar@databricks.com> * Fix small typo (#4772) Before: ``` 2021/09/03 18:53:45 WARNING mlflow.sklearn.utils: precision_score failed. The metric test_gold_precision_scorewill not be recorded. Metric error: '<' not supported between instances of 'float' and 'str' 2021/09/03 18:53:45 WARNING mlflow.sklearn.utils: recall_score failed. The metric test_gold_recall_scorewill not be recorded. Metric error: '<' not supported between instances of 'float' and 'str' 2021/09/03 18:53:45 WARNING mlflow.sklearn.utils: f1_score failed. The metric test_gold_f1_scorewill not be recorded. Metric error: '<' not supported between instances of 'float' and 'str' 2021/09/03 18:53:45 WARNING mlflow.sklearn.utils: accuracy_score failed. The metric test_gold_accuracy_scorewill not be recorded. Metric error: '<' not supported between instances of 'float' and 'str' ``` Signed-off-by: Louis Guitton <louisguitton93@gmail.com> * Push MLflow model to Sagemaker model registry (#4669) * Added push_sagemaker_model() api to enable push model from MLflow to Sagemaker model registry Signed-off-by: Jinni Gu <jinnigu@uw.edu> * Fixed the python doc for _find_transform_job() Signed-off-by: Jinni Gu <jinnigu@uw.edu> * Replace https protocol with s3:// protocol for the URL where Sagemaker model artifacts are stored in S3. Signed-off-by: Yiqing Wang <yiqing@wangemail.com> * rename push_sagemaker_model function add CLI function for push_model_to_sagemaker Signed-off-by: qtz123 <qiutingzhi1995@gmail.com> * reformat CLI for push_model_to_sagemaker Signed-off-by: qtz123 <qiutingzhi1995@gmail.com> * Used describe_model instead of list_models to check if the model exists. Signed-off-by: Yiqing Wang <yiqing@wangemail.com> * Renamed the _find_model method to _does_model_exist and limit the scope Signed-off-by: Yiqing Wang <yiqing@wangemail.com> * Fixed lint error and changed command to push model Signed-off-by: Yiqing Wang <yiqing@wangemail.com> Co-authored-by: Yiqing Wang <yiqing@wangemail.com> Co-authored-by: qtz123 <qiutingzhi1995@gmail.com> * Fix tensorflow dev cross test (#4780) * init Signed-off-by: Weichen Xu <weichen.xu@databricks.com> * dummy tf update Signed-off-by: Weichen Xu <weichen.xu@databricks.com> * Adding requirements for prophet examples Signed-off-by: Ben Wilson <benjamin.wilson@databricks.com> * update conda versions for prophet Signed-off-by: Ben Wilson <benjamin.wilson@databricks.com> * Fixing the prophet tests Signed-off-by: Ben Wilson <benjamin.wilson@databricks.com> * PR fixes Signed-off-by: Ben Wilson <benjamin.wilson@databricks.com> * Add notes on sub-dependencies Signed-off-by: Ben Wilson <benjamin.wilson@databricks.com> * Updating docs for Prophet flavor Signed-off-by: Ben Wilson <benjamin.wilson@databricks.com> * Resolve dependencies and add flavor tests Signed-off-by: Ben Wilson <benjamin.wilson@databricks.com> * update conda.yaml in examples for prophet Signed-off-by: Ben Wilson <benjamin.wilson@databricks.com> Co-authored-by: jinzhang21 <78067366+jinzhang21@users.noreply.github.com> Co-authored-by: Harutaka Kawamura <hkawamura0130@gmail.com> Co-authored-by: Alexey Volkov <alexey.volkov@ark-kun.com> Co-authored-by: dbczumar <39497902+dbczumar@users.noreply.github.com> Co-authored-by: Weichen Xu <weichen.xu@databricks.com> Co-authored-by: dbczumar <corey.zumar@databricks.com> Co-authored-by: mlflow-automation <61449322+mlflow-automation@users.noreply.github.com> Co-authored-by: Jenkins <jenkins@databricks.com> Co-authored-by: Louis Guitton <louisguitton@users.noreply.github.com> Co-authored-by: Jinni Gu <jinnigu@uw.edu> Co-authored-by: Yiqing Wang <yiqing@wangemail.com> Co-authored-by: qtz123 <qiutingzhi1995@gmail.com>
anjsam1402
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Sep 14, 2021
* WIP build Signed-off-by: benwilson <benjamin.wilson@databricks.com> * Finish unit tests and address prophet build dependencies for serving Signed-off-by: benwilson <benjamin.wilson@databricks.com> * refactor example for prophet and add tracking validation test Signed-off-by: benwilson <benjamin.wilson@databricks.com> * adjusting build env Signed-off-by: benwilson <benjamin.wilson@databricks.com> * linting Signed-off-by: benwilson <benjamin.wilson@databricks.com> * Increase HTTP timeout to 90s. Disabled cloud storage HTTP timeout. (mlflow#4764) * Increase HTTP timeout to 120s. Disabled cloud storage HTTP timeout. * Enable auto dependency inference in spark flavor (mlflow#4759) * use infer_pip_requirements to spark.py Signed-off-by: harupy <hkawamura0130@gmail.com> * fix tests Signed-off-by: harupy <hkawamura0130@gmail.com> * fix tests Signed-off-by: harupy <hkawamura0130@gmail.com> * rename test Signed-off-by: harupy <hkawamura0130@gmail.com> * workaround for databricks Signed-off-by: harupy <hkawamura0130@gmail.com> * workaround for pyspark in databricks Signed-off-by: harupy <hkawamura0130@gmail.com> * rename test Signed-off-by: harupy <hkawamura0130@gmail.com> * address comments Signed-off-by: harupy <hkawamura0130@gmail.com> * better error message Signed-off-by: harupy <hkawamura0130@gmail.com> * fix error message Signed-off-by: harupy <hkawamura0130@gmail.com> * Fix `test_autolog_emits_warning_message_when_model_prediction_fails` (mlflow#4768) * Use AttributeError Signed-off-by: harupy <hkawamura0130@gmail.com> * comment Signed-off-by: harupy <hkawamura0130@gmail.com> * fix Signed-off-by: harupy <hkawamura0130@gmail.com> * use sanity_checking (mlflow#4767) Signed-off-by: harupy <hkawamura0130@gmail.com> * refactor: Extract the docker image building _build_image_from_context function (mlflow#4769) * refactor: Extract the docker image building _build_image_from_context function Signed-off-by: Alexey Volkov <alexey.volkov@ark-kun.com> * blacken Signed-off-by: harupy <hkawamura0130@gmail.com> Co-authored-by: harupy <hkawamura0130@gmail.com> * Fix autologging compatibility with Keras >= 2.6.0 (mlflow#4766) * Increase HTTP timeout to 90s. Disabled cloud storage HTTP timeout. (mlflow#4764) * Increase HTTP timeout to 120s. Disabled cloud storage HTTP timeout. Signed-off-by: dbczumar <corey.zumar@databricks.com> * Include keras conditionally Signed-off-by: dbczumar <corey.zumar@databricks.com> * Fixes Signed-off-by: dbczumar <corey.zumar@databricks.com> * Fix Signed-off-by: dbczumar <corey.zumar@databricks.com> * Fix root cause Signed-off-by: dbczumar <corey.zumar@databricks.com> * docstring Signed-off-by: dbczumar <corey.zumar@databricks.com> * Some test cases Signed-off-by: dbczumar <corey.zumar@databricks.com> * Some test cases Signed-off-by: dbczumar <corey.zumar@databricks.com> * Tests Signed-off-by: dbczumar <corey.zumar@databricks.com> * Format Signed-off-by: dbczumar <corey.zumar@databricks.com> * Test fixes Signed-off-by: dbczumar <corey.zumar@databricks.com> * Test fix 2 Signed-off-by: dbczumar <corey.zumar@databricks.com> * Remove keras change Signed-off-by: dbczumar <corey.zumar@databricks.com> * Use is Signed-off-by: dbczumar <corey.zumar@databricks.com> * Remove unused modules Signed-off-by: dbczumar <corey.zumar@databricks.com> * Use fixtures Signed-off-by: dbczumar <corey.zumar@databricks.com> * Docstring Signed-off-by: dbczumar <corey.zumar@databricks.com> * Fix fixtures Signed-off-by: dbczumar <corey.zumar@databricks.com> * Lint fixes Signed-off-by: dbczumar <corey.zumar@databricks.com> * Format Signed-off-by: dbczumar <corey.zumar@databricks.com> * Try preserve find module Signed-off-by: dbczumar <corey.zumar@databricks.com> * fix Signed-off-by: Weichen Xu <weichen.xu@databricks.com> * fix2 Signed-off-by: Weichen Xu <weichen.xu@databricks.com> * Simplify fluent test cases Signed-off-by: dbczumar <corey.zumar@databricks.com> * Format Signed-off-by: dbczumar <corey.zumar@databricks.com> * Tweaks, add a warning Signed-off-by: dbczumar <corey.zumar@databricks.com> * Test excludee Signed-off-by: dbczumar <corey.zumar@databricks.com> * Reverts Signed-off-by: dbczumar <corey.zumar@databricks.com> Co-authored-by: jinzhang21 <78067366+jinzhang21@users.noreply.github.com> Co-authored-by: Weichen Xu <weichen.xu@databricks.com> * Update spark support version to be 3.2 (mlflow#4770) * init Signed-off-by: Weichen Xu <weichen.xu@databricks.com> * Fix set matrix Signed-off-by: dbczumar <corey.zumar@databricks.com> * Fix Signed-off-by: dbczumar <corey.zumar@databricks.com> * Format Signed-off-by: dbczumar <corey.zumar@databricks.com> Co-authored-by: dbczumar <corey.zumar@databricks.com> * merge * merge * fix build errors * Changelog message tweak (mlflow#4777) * Tweak Signed-off-by: dbczumar <corey.zumar@databricks.com> * Lang Signed-off-by: dbczumar <corey.zumar@databricks.com> * Update CHANGELOG.rst * [ALL TESTS] Update (mlflow#4778) * Update MLflow version to 1.20.3 Signed-off-by: Jenkins <jenkins@databricks.com> * Update Signed-off-by: dbczumar <corey.zumar@databricks.com> Co-authored-by: Jenkins <jenkins@databricks.com> Co-authored-by: dbczumar <corey.zumar@databricks.com> * Fix small typo (mlflow#4772) Before: ``` 2021/09/03 18:53:45 WARNING mlflow.sklearn.utils: precision_score failed. The metric test_gold_precision_scorewill not be recorded. Metric error: '<' not supported between instances of 'float' and 'str' 2021/09/03 18:53:45 WARNING mlflow.sklearn.utils: recall_score failed. The metric test_gold_recall_scorewill not be recorded. Metric error: '<' not supported between instances of 'float' and 'str' 2021/09/03 18:53:45 WARNING mlflow.sklearn.utils: f1_score failed. The metric test_gold_f1_scorewill not be recorded. Metric error: '<' not supported between instances of 'float' and 'str' 2021/09/03 18:53:45 WARNING mlflow.sklearn.utils: accuracy_score failed. The metric test_gold_accuracy_scorewill not be recorded. Metric error: '<' not supported between instances of 'float' and 'str' ``` Signed-off-by: Louis Guitton <louisguitton93@gmail.com> * Push MLflow model to Sagemaker model registry (mlflow#4669) * Added push_sagemaker_model() api to enable push model from MLflow to Sagemaker model registry Signed-off-by: Jinni Gu <jinnigu@uw.edu> * Fixed the python doc for _find_transform_job() Signed-off-by: Jinni Gu <jinnigu@uw.edu> * Replace https protocol with s3:// protocol for the URL where Sagemaker model artifacts are stored in S3. Signed-off-by: Yiqing Wang <yiqing@wangemail.com> * rename push_sagemaker_model function add CLI function for push_model_to_sagemaker Signed-off-by: qtz123 <qiutingzhi1995@gmail.com> * reformat CLI for push_model_to_sagemaker Signed-off-by: qtz123 <qiutingzhi1995@gmail.com> * Used describe_model instead of list_models to check if the model exists. Signed-off-by: Yiqing Wang <yiqing@wangemail.com> * Renamed the _find_model method to _does_model_exist and limit the scope Signed-off-by: Yiqing Wang <yiqing@wangemail.com> * Fixed lint error and changed command to push model Signed-off-by: Yiqing Wang <yiqing@wangemail.com> Co-authored-by: Yiqing Wang <yiqing@wangemail.com> Co-authored-by: qtz123 <qiutingzhi1995@gmail.com> * Fix tensorflow dev cross test (mlflow#4780) * init Signed-off-by: Weichen Xu <weichen.xu@databricks.com> * dummy tf update Signed-off-by: Weichen Xu <weichen.xu@databricks.com> * Adding requirements for prophet examples Signed-off-by: Ben Wilson <benjamin.wilson@databricks.com> * update conda versions for prophet Signed-off-by: Ben Wilson <benjamin.wilson@databricks.com> * Fixing the prophet tests Signed-off-by: Ben Wilson <benjamin.wilson@databricks.com> * PR fixes Signed-off-by: Ben Wilson <benjamin.wilson@databricks.com> * Add notes on sub-dependencies Signed-off-by: Ben Wilson <benjamin.wilson@databricks.com> * Updating docs for Prophet flavor Signed-off-by: Ben Wilson <benjamin.wilson@databricks.com> * Resolve dependencies and add flavor tests Signed-off-by: Ben Wilson <benjamin.wilson@databricks.com> * update conda.yaml in examples for prophet Signed-off-by: Ben Wilson <benjamin.wilson@databricks.com> Co-authored-by: jinzhang21 <78067366+jinzhang21@users.noreply.github.com> Co-authored-by: Harutaka Kawamura <hkawamura0130@gmail.com> Co-authored-by: Alexey Volkov <alexey.volkov@ark-kun.com> Co-authored-by: dbczumar <39497902+dbczumar@users.noreply.github.com> Co-authored-by: Weichen Xu <weichen.xu@databricks.com> Co-authored-by: dbczumar <corey.zumar@databricks.com> Co-authored-by: mlflow-automation <61449322+mlflow-automation@users.noreply.github.com> Co-authored-by: Jenkins <jenkins@databricks.com> Co-authored-by: Louis Guitton <louisguitton@users.noreply.github.com> Co-authored-by: Jinni Gu <jinnigu@uw.edu> Co-authored-by: Yiqing Wang <yiqing@wangemail.com> Co-authored-by: qtz123 <qiutingzhi1995@gmail.com> Signed-off-by: Anjali Samad <samad.anjali.14@gmail.com>
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Signed-off-by: Weichen Xu weichen.xu@databricks.com
What changes are proposed in this pull request?
Update spark support version to be 3.2
How is this patch tested?
N/A
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