Microsoft Fabric Features

Allows users to input models built in a variety of languages. 16 reviewers of Microsoft Fabric have provided feedback on this feature.

As reported in 16 Microsoft Fabric reviews. Allows users to choose the framework or workbench of their preference.

Based on 16 Microsoft Fabric reviews. Records versioning as models are iterated upon.

Provides a way to quickly and efficiently deploy machine learning models. 16 reviewers of Microsoft Fabric have provided feedback on this feature.

Offers a way to scale the use of machine learning models across an enterprise. 16 reviewers of Microsoft Fabric have provided feedback on this feature.

As reported in 16 Microsoft Fabric reviews. Allows users to input models built in a variety of languages.

Allows users to choose the framework or workbench of their preference. 16 reviewers of Microsoft Fabric have provided feedback on this feature.

Based on 16 Microsoft Fabric reviews. Records versioning as models are iterated upon.

As reported in 16 Microsoft Fabric reviews. Provides a way to quickly and efficiently deploy machine learning models.

As reported in 16 Microsoft Fabric reviews. Offers a way to scale the use of machine learning models across an enterprise.

As reported in 15 Microsoft Fabric reviews. Records and organizes all machine learning models that have been deployed across the business.

Based on 16 Microsoft Fabric reviews. Tracks the performance and accuracy of machine learning models.

As reported in 15 Microsoft Fabric reviews. Provisions users based on authorization to both deploy and iterate upon machine learning models.

As reported in 15 Microsoft Fabric reviews. Allows users to manage model artifacts and tracks which models are deployed in production.

Based on 16 Microsoft Fabric reviews. Records and organizes all machine learning models that have been deployed across the business.

Tracks the performance and accuracy of machine learning models. This feature was mentioned in 15 Microsoft Fabric reviews.

Provisions users based on authorization to both deploy and iterate upon machine learning models. This feature was mentioned in 15 Microsoft Fabric reviews.

Control model usage and performance in production This feature was mentioned in 16 Microsoft Fabric reviews.

Deploy mission-critical ML applications where and when you need them 16 reviewers of Microsoft Fabric have provided feedback on this feature.

Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance. 16 reviewers of Microsoft Fabric have provided feedback on this feature.

Allows users to generate text based on a text prompt. 14 reviewers of Microsoft Fabric have provided feedback on this feature.

Condenses long documents or text into a brief summary. This feature was mentioned in 14 Microsoft Fabric reviews.