On-site packaging and management
Memory sizing guidelines: Please use a minimum of 4 vCPUs and 16GB of memory. Luminoso functionality will not run properly with less available memory.
New Features
Science Updates
Enhancements
Fixes
Galaxy: The Galaxy does not display concepts with all zero vectors
Drivers: No longer returns a generic error when a filter group is too small
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On-site menu changes
With this release, we made several changes to the on-site menu to match what you see in the new Settings page:
Renamed “account” to “workspace” in all instances. This reflects our system-wide Settings update that restructured anything that was formerly an account into a workspace.
Updated the Change User Access section to match the roles you can assign in the UI.
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Azure VM now available
All Luminoso products are now accessible through an Azure Virtual Machine. If you are an existing customer who is interested in using this option, contact your Luminoso Customer Success Manager for details.
New Settings page and redesigned account management
In 2019, Luminoso redesigned account handling in Daylight and combined the former User and Account Settings pages into a unified Settings page. These changes:
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Read more in our article on the new roles and actions in Daylight and a guide to the Settings page.
Delete multiple saved concepts
Starting with this release, you can delete multiple saved concepts with one action. Now, access the new Delete saved concepts button on the What concepts have I saved? card in the Highlights feature.
In Highlights, navigate to the What concepts have I saved? card.
Click Delete saved concepts. A Delete saved concepts window opens.
Check the box next to each concept to select it, or use the box at the top to select or deselect every concept.
Click Delete concepts. A confirmation message appears.
Click Confirm delete. The concepts you selected are deleted.
Click X at the top right corner or anywhere outside of the Delete saved concepts window to close it.
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QuickLearn 2.0
With this release, Luminoso introduces QuickLearn 2.0 to all Daylight users. This major improvement to Luminoso’s science expands word embeddings from 150 to 300 dimensions. Now, your projects display major improvements in conceptual matching and handling of possible social biases.
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Read more about QuickLearn 2.0 in our Guide to QuickLearn 2.0.
Enhanced handling of emoji variations
With this release, we introduce updates to our natural language processing that help Daylight handle emoji variations better.
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Flag emoji that are composed of multiple characters are now preserved as a single concept. For example, the two separate concepts of "flag piece: U" and "flag piece: S" will now be preserved as a single concept
Improved handling of collocations
In this release, we improve Daylight’s handling of collocations, or groups of words. When Luminoso processes your dataset, it creates collocations out of groups of words that are significant when used together, such as “dining room.” Previously, Luminoso would not collocate a group of words with a negative term in the middle. Now, a phrase like “no issues were resolved,” in which the negation begins the collocation, is conceptually identical to “the issue was not resolved,” which contains the negation in the middle of the collocation.
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This change will affect each project differently. If your dataset contains a high number of negative phrases, you may see a change in your top 500 concepts or a slight difference in conceptual match scores.
API: Science version information included in a project record’s last_build_info
Now, when you call a project record, a science version identifier is included. This string displays the version of Luminoso science at the last time the project was built.
You can compare this number against the latest available science version that displays in the status endpoint. If your project is out-of-date, you can rebuild it using the build endpoint. For more information, read our API Documentation.
API Reminder: Change to the default of legacy_term_format parameter coming in May 2020 on-site package
When we released Daylight on-site version 2.1. we added the optional parameter, legacy_term_format, to the Vectorize text API endpoint. At the time of this release, we continue to accept “true” or “false” in this parameter.
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For more information, refer to Luminoso’s API documentation on vectorizing text.
API Reminder: Deprecation of exact_only parameter coming in February 2021 on-site package
When we released Daylight on-site v2.1, we added the optional parameter match_type to the Get documents API endpoint. If you don’t specify match_type, the default response is both exact and conceptual matches.
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For more information, refer to Luminoso’s API documentation on get documents.
Highlights: View saved concepts button opens Volume feature
Now, when you click the View saved concepts button on the What concepts have I saved? card in the Highlights feature, it opens the Volume feature. Use Volume to view, sort, and manage a comprehensive list of your saved concepts.
Settings: New usage meter for uploads
With this release, we add a new usage meter to the upload page. This meter provides greater visibility into your organization’s data usage and how your uploads will affect your overall use.
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In the meter, dark blue represents already uploaded documents, light blue represents the documents you are uploading now, and white represents your unused documents. If your upload would exceed your document limit, the meter displays a dotted line that indicates the limit.
Concept details pane: Moved match type and sentiment icons
With this release, we moved the icons for exact and conceptual matches and for positive and negative sentiment directly to the left of the document preview. This change displays more matching document previews for a selected concept. It also makes document previews easier to scan by type.
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View this change in the Matching documents section of the Concept details pane in any analysis feature.
Concept details pane: Edit saved concepts
With this release, you can edit your saved concepts in all analysis features. Now, the process for editing concepts in the Galaxy feature is the same as in Volume, Sentiment, and Drivers.
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To delete a saved concept, click the delete icon next to the saved concept’s name.
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The Galaxy does not display concepts with all zero vectors
Because the Galaxy represents associations between concepts, it no longer displays concepts that do not relate to other concepts. It is unusual for a concept to have no associations, and this scenario could exclusively happen if a concept only appeared by itself in every document. It could also happen if the concept was part of a collocation unique to its dataset and appeared alone in every document. This also means that the concept did not exist in the background space.
Now, the Galaxy does not display these zero vector concepts. Concepts with zero vectors continue to display in the Volume, Sentiment and Drivers visualizations, if appropriate.
Drivers no longer crashes if no drivers are suggested
Before, if you selected a score field for a dataset where most documents didn't have that score value, Daylight couldn’t suggest any drivers. The feature would crash and return a generic error message.
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