Fusion AI 4.1.0 Release Notes
Release date: 17 July 2018
See also the Fusion Server 4.1.0 release notes.
Improvements
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SQL Engine Improvements
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Added virtual table join support to the Solr/SQL pushdown strategy (SQL 360 Collections)
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Added Kerberos authentication and SSO authentication support
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Fixed scaling bugs with Tableau
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Added robust Tableau support (better than MySQL and PostGres on cross table joins)
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Experiment management improvements
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New "default response time in ms" default metric
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The Machine Learning index stage and the Machine Learning query stage now support multiple values when specifying field names, in this format:
field1:weight,field2:weight,field3:weight -
Job improvements
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Custom stopword lists can now be uploaded to the blob store and utilized by the Head/Tail Analysis, Document Clustering (formerly the Bisecting KMeans Clustering job), Cluster Labeling, Phrase Extraction (formerly the Statistically Interesting Phrases job), and Token and Phrase Spell Correction jobs.
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The Levenshtein Spell Checking job has been removed. Use the Token and Phrase Spell Correction job instead.
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Add schema groups and categories by default on all Spark Jobs
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Some jobs have been renamed:
4.0 Job 4.1 Job Co-occurrence Similarity
Item Similarity Recommender
Matrix Decomposition Based Query - Query Similarity
Statistically Interesting Phrases
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Other changes
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When you disable signals for a collection, the associated jobs are now deleted.
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The Boost with Signals query pipeline stage can now be configured to point to an alternative collection for aggregated signals.