NLP

Deepchecks for NLP is currently in alpha. Jump over to the Quickstarts in the Tutorials section to get started, or visit the Installation for a full guide about how to set up your environment.

This is an alpha release and you can help us develop it further! You can provide feedback and suggestions as issues on GitHub, or by joining our Community Slack.

Tutorials

This section contain tutorials for different use cases, and how to use deepchecks in your workflow.

Tutorials

• Quickstarts

Usage Guides

This section contain in-depth guides on different aspects and components of the deepchecks nlp sub package.

Usage Guides

• The TextData Object
• Supported Tasks and Formats
• NLP Properties
• NLP Metadata
• NLP Embeddings

Checks Gallery

Below in the full list of checks and suites available in the deepchecks nlp sub package.

Checks Gallery

• Data Integrity
• Train Test Validation
• Model Evaluation

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Multi Model Performance Report

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Quickstarts