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Frameworks and software specifications in Watson Machine Learning

Frameworks and software specifications in Watson Machine Learning

You can use popular tools, libraries, and frameworks to train and deploy your machine learning models and functions.

Overview of software specifications

Software specifications define the programming language and version that you use for a building a model or a function. You can use software specifications to configure the software that is used for running your models and functions. You can also define the software version to be used and include your own extensions. For example, you can use conda .yml files or custom libraries.

Supported frameworks and software specifications

You can use predefined tools, libraries, and frameworks to train and deploy your machine learning models and functions. Examples of supported frameworks include Scikit-learn, Tensorflow, and more.

For more information, see Supported deployment frameworks and software specifications.

The following image shows how to access the software specifications for a deployment in the Deployment details page:

Frameworks and software specifications for model delpoyments

Lifecycle of supported frameworks and software specifications

Frameworks and software specifications that are supported when you install the latest version of Cloud Pak for Data as a Service go through deprecation and discontinuation phases in future releases of Cloud Pak for Data as a Service, described as follows:

  1. Deprecated: The runtime environment corresponding to the software specification is supported when you install the latest version of Cloud Pak for Data as a Service, but will be removed in an upcoming release.

    For example, the software specification runtime-22.2-py3.10 is deprectaed in Cloud Pak for Data as a Service. In this case, if you install a new Watson Machine Learning service instance, you can create or deploy machine learning models that use runtime-22.2-py3.10. However, the support for runtime-22.2-py3.10 will be discontinued in an upcoming release.

  2. Discontinued: The runtime environment corresponding to the software specification is not supported when you install or upgrade to the latest version of Cloud Pak for Data as a Service.

    For example, the support for software specification based on Python 3.9 is discontinued for Cloud Pak for Data as a Service. In this case, if you install a new Watson Machine Learning service instance, you cannot create or deploy machine learning models that use software specification based on Python 3.9.

Managing outdated frameworks and software specifications

Update software specifications and frameworks in your models when they become outdated. Sometimes, you can seamlessly update your assets. In other cases, you must retrain or redeploy your assets.

For more information, see Managing outdated software specifications or frameworks.

Parent topic: Deploying assets with Watson Machine Learning

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