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https://issues.apache.org/jira/browse/IGNITE-12079?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Aleksey Zinoviev updated IGNITE-12079:
--------------------------------------
    Priority: Blocker  (was: Major)

> [ML][Umbrella] Add advanced preprocessing techniques
> ----------------------------------------------------
>
>                 Key: IGNITE-12079
>                 URL: https://issues.apache.org/jira/browse/IGNITE-12079
>             Project: Ignite
>          Issue Type: New Feature
>          Components: ml
>    Affects Versions: 2.8
>            Reporter: Aleksey Zinoviev
>            Assignee: Aleksey Zinoviev
>            Priority: Blocker
>             Fix For: 2.8
>
>
> *Main goal:*
> To reduce the gap between Apache Spark and Apache Ignite in preprocessing 
> operations. The reducing of the gap could help with loading Spark ML 
> Pipelines to Ignite ML.
>  
> Next steps:
>  # Add Frequency Encoder
>  # Add two Imputing Strategies (MIN, MAX, COUNT, MOST_FREQUENT, 
> LEAST_FREQUENT)
>  # Add RobustScaler (will be added in Spark 3.0)
>  # Add CountVectorizer
>  # Add FeatureHasher
>  # Add QuantileDiscretizer
>  # Add Locality Sensitive Hashing (LSH)
>  # Add LabelEncoder
>  # Add RevertStringIndexing
>  # Add multi-column preprocessor



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