Accelerated Data Science 2.9.0 is Released
- Services: Data Science
- Release Date: Nov. 22, 2023
The following changes were made in ADS 2.9.0:
- Introducing AI Forecast Operator. Learn more about Operators in the Operators section …
90 Release Notes | Page 1 of 2
The following changes were made in ADS 2.9.0:
You can now specify File Storage service mount points or Object Storage service buckets in notebook sessions and jobs. This …
The following changes were made in ADS 2.8.11:
You can now use the notebook session lifecycle scripts to run a custom script at different notebook session lifecycle states …
You can now configure a private endpoint in your tenancy. Use a private endpoint to access one or more notebook …
The following changes were made in ADS 2.8.10:
LargeArtifactUploader class to understand OCI paths to upload model artifacts …The following changes were made in ADS 2.8.9:
scikit-learn dependency to >=1.0.pandas dependency to >1.2.1,<2.1 …The following changes were made in ADS 2.8.8:
PyTorchDistributed runtime option for Data Science jobs to add support for …The following changes were made in ADS 2.8.7:
opctl commands.The following changes were made in ADS 2.8.6:
ads opctl build-image job-local when the build of …The following changes were made in ADS 2.8.5:
key_content attribute in ads.set_auth() for the API KEY authentication. …The following changes were made in ADS 2.8.4:
ADSDataset from pandas dataframe.The following changes were made in ADS 2.8.3:
Added support for custom containers (Bring Your Own Container or BYOC), and …
The following changes were made in ADS 2.8.2:
Removed support for Python 3.7.
Improved the DataScienceMode.create() to support the timeout …
The following changes were made in ADS 2.8.1:
Fixed a bug for ads opctl run when --auth flag is passed …
Machine learning pipelines are a crucial component of the modern data science workflow. They help automate the process of building, …
The following changes were made in ADS 2.8.0:
Added support for the machine learning pipelines feature.
Fixed a bug in …
The following changes were made in ADS 2.7.3:
Added support for the model version set feature.
Added --job-info option to …
Model versioning enables you to keep records of the different models that you've trained, and your various attempts at improving …
We have simplified the process so that there is only one option to extend a notebook session to the maximum …
Data Science is now available in the US Midwest (Chicago) region.
For more information about Data Science and features in Cloud …
The following changes were made in ADS 2.7.0:
Fixed a bug in GenericModel.prepare. The .model-ignore file wasn't included in …
You can connect to Data Flow and run an Apache Spark application from a Data Science notebook session. These sessions …
The following changes were made in ADS 2.6.8 and ADS 2.6.7.
ads.dataset.helper to support Python …Accelerated Data Science added support for large models that are models with artifacts between 2 and 6 GB. An Object Storage …
See the …
The following changes were made in this version.
prepare_save_deploy() method to the GenericModel class. Now you can prepare model …You can now set up your notebook sessions with your often used custom environment variables and Git repos to be …
Data Science is now available in the Mexico Central (Queretaro) region.
For more information about Data Science and features in Cloud …
You can now use flexible compute shapes for model deployments.
For APIs, see CreateModelDeployment, and ModelDeploymentInstanceShapeConfigDetails.
For more …
The following changes were made in this version.
Added from_model_deployment() method to the GenericModel class. Now, you can load a …
The Environment Explorer tab list view has been updated with:
You can now build and use your own container for use when you create a job and job runs.
For …
The following changes were made in this version.
BDSSecretKeeper to store and save configuration parameters to connect to Big …The following conda environments are introduced:
Sklearn models.NotebookRuntime when using non-ASCII encoding. …You can now choose to let the Data Science service configure your networking resources with public internet access in notebook …
The Financial Services conda environment is an ecosystem to do portfolio optimization, stock analysis, technical analysis, and other financial econometric …
With the PySpark 3.0 and Data Flow CPU on Python 3.7 (version 3.0) conda environment you can apply the power …
You can use the new fast launch option to automatically select a Compute shape from predefined pool of shapes when …
Job creation.ADSDataset get_recommendations causing an HTML is not defined exception.The following conda environments are introduced:
You can now monitor the health, capacity, and performance of Data Science job runs by using metrics, alarms, and notifications.
For …
storage_options parameter in ADSDataset .to_hdf().overwrite_script or overwrite_archive …These enhancements were made to the JupyterLab environment:
The JuypterLab Git extension is now available in notebook sessions. This change came with the latest Notebook Virtual Machine (NBVM) so you …
The following conda environments are introduced: