100 Release Notes | Page 2 of 2
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:
The Computer Vision for CPU and GPU on Python 3.7 (version 1.0) conda environment include some of the most powerful …
You can now monitor the health, capacity, and performance of Data Science model deployments by using metrics, alarms, and notifications.
For more …
Fixed a bug in model artifact prepare(), reload(), and prepare_generic_model() resulting in an ``ONNXRuntimeError`` caused by the mismatched …
Data Labeling
ADS
DaskSeries class was deprecated.These features were added in ADS v2.5.3:
ADS
Moved fastavro, pandavro, and openpyxl to an optional dependency.
Data Labeling …
You can now extend your notebook session time by up to 23 hours to avoid being logged out after an …
The Neurophysiology 1.0 for CPU healthcare focused conda environment provides the best-in-class tooling for analyzing, visualizing and exploring neurophysiological data. Using …
Accelerated Data Science v2.5.2 is released including improved model introspection functionality and the ability to manage credentials with the Vault service.
Additional …
The TensorFlow conda environment is an ecosystem of tools and libraries to create state-of-the-art machine learning models. You can use …
We are introducting a new Launcher tab in JupyterLab notebook sessions. When you open the Launcher tab, you'll see that each …
Speed up your scikit-learn algorithms with the Intel Extension for Scikit-learn conda environment. It uses the Intel oneAPI Data Analytics …
You can now access Object Storage in Pandas. The Data Science service has created the ocifs library that is based …
The Environment Explorer has been extended by adding a new list view. This is an alternative view to the card …
The Data Science jobs feature is introduced in ADS v2.4.0 and includes the following:
Data Science jobs allow data scientists …
The jobs feature enables you to define and run a repeatable machine learning task on a fully managed infrastructure. Jobs …
Use the new PyTorch 1.9 condas for applications in computer vision and natural language processing. These conda environments are for CPUs and GPUs. …
This new release of the model catalog is now available. It includes these enhancements:
Automatical extraction …
Data Science is now available in the Brazil Southeast (Vinhedo) region.
For more information about Data Science and features in Cloud …
This new release of the model catalog is now available. It includes these enhancements:
The latest version of Jupyter Lab is used when you create a new notebook. You can't choose the older version of …
The Data Science service provides seamless integration with the Data Flow service. You can develop your Spark applications in PySpark using …
Use PyPGX V21.3.1 to extract hidden insights using graph machine learning, optimized analytics algorithms, and a graph query language. PyPGX …
Use the PySpark V3.0 conda to create Data Flow jobs or run PySpark locally. The PySpark version is updated from V2.4.4 to V3.0.2 in …
The VM.Standard.E3.Flex Compute shape is now generally available in the Data Science service in certain regions. For more information, see …
Data Science is now available in US government regions:
US Gov West (Phoenix)
US DoD North (Chicago)
US DoD West …
The Data Science service provides conda environments that are specialized for different workflows. In this release, there are six new …
Conda environments provide flexibility and reproducibility within the Data Science notebook. The Environment Explorer is GUI tool that allows you …
Data Science is now available in the Chile (Santiago) region. For more information, see Data Science and Data Science API.
Data Science is now available in the UK West (Newport) region. For more information, see Data Science and Data Science API …
You can now monitor the health, capacity, and performance of Data Science notebook sessions by using metrics, alarms, and notifications, see Data …
GPUs VMs (P100 and V100) are now generally available within the Oracle Cloud Infrastructure Data Science service in certain regions. …
Data Science is now available in India South (Hyderabad), South Korea North (Chuncheon), and US West (San Jose) regions. For …
Oracle Cloud Infrastructure Data Science enables you to authenticate using your notebook session's resource …
Notebook Session Environment
The notebook session environment includes these improvements:
The Notebook Session environment includes the following changes:
home folder is now backed by block volume. You can now …Data Science is now available in Australia Southeast (Melbourne), Canada Southeast (Montreal), Japan Central (Osaka), Netherlands Northwest (Amsterdam), and Saudi Arabia West (Jeddah) regions.
The JupyterLab notebook session interface is enhanced so that the JupyterLab environment now supports:
The Data Science service enables data science teams to build, train, and manage machine learning and artificial intelligence models on …