Acquia CDP
ML Studio
Data scientists can:
Directly access CDP and import data into Pandas DataFrames by using the Pandas' robust data processing features for machine learning.
Build and refine custom machine learning models to enhance them through iterative upgrades.
This process ensures that the models are aligned with business goals and are responsive to emerging data insights.
Store the custom-trained models that are not currently in use for scoring.
This process ensures the future access and reactivation of the models, and preserves the long-term value of the modeling efforts.
Standard model customization: Acquia does not support changes to predefined models such as LTB/LTC. Customers must explore other options or build custom models for specific objectives.
Score limitations: Customers can perform up to 5 default calculations and can score only once in each calculation.
Language support: ML Studio supports Python and does not support R. Customers using R must transition to Python or seek workarounds.
To add ML Studio to your subscription (glossary term, activate to view definition), contact your CDP customer value manager (CVM). After ML Studio is added to your account, contact Acquia Support to request access to ML Studio. Specify the name and email address of each team member who requires access to ML Studio. For more information, see User access requests.
If this content did not answer your questions, try searching or contacting our support team for further assistance.
If this content did not answer your questions, try searching or contacting our support team for further assistance.
Acquia CDP