[SPARK-58279][ML][CONNECT] Estimate size of TargetEncoder, VectorIndexer, CountVectorizer, and MinHashLSH models#57448
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What changes were proposed in this pull request?
Adds explicit
estimatedSizeimplementations forTargetEncoderModel,VectorIndexerModel,CountVectorizerModel, andMinHashLSHModel. Each override accounts for model metadata and the model-owned lookup state: encoder statistics, category maps, vocabulary, or random hash coefficients.Adds fitted-model regression tests in the owning algorithm suites with a 4 KiB upper bound.
Why are the changes needed?
The default reflection-based estimate can traverse substantially more state than the fitted model owns. Direct accounting keeps model-size estimation small, predictable, and focused on the learned state.
Does this PR introduce any user-facing change?
No.
How was this patch tested?
JAVA_HOME=/usr/lib/jvm/java-17-openjdk-amd64 build/sbt 'mllib/Test/compile'\n\n### Was this patch authored or co-authored using generative AI tooling?\n\nGenerated-by: Codex GPT-5