[jira] [Updated] (IGNITE-12079) [ML][Umbrella] Add advanced preprocessing techniques

["Alexey Zinoviev (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/IGNITE-12079?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Alexey Zinoviev updated IGNITE-12079:
-------------------------------------
    Fix Version/s:     (was: 2.8)

> [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: Alexey Zinoviev
>            Assignee: Alexey Zinoviev
>            Priority: Major
>
> *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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