zhengruifeng opened a new pull request, #58608:
URL: https://github.com/apache/spark/pull/58608

   ### What changes were proposed in this pull request?
   
   This PR changes `MultilayerPerceptronClassificationModel` to receive and 
retain its
   `FeedForwardModel` as a private eager value. The public `weights` accessor 
becomes a method backed
   by the feed-forward model. Training, copying, and model loading now 
construct the feed-forward
   model before constructing the classification model.
   
   It also narrows the internal `FeedForwardTopology.model` return types to 
`FeedForwardModel` and
   updates the probability test to use the public prediction API.
   
   ### Why are the changes needed?
   
   The feed-forward model is the runtime state required by every prediction 
operation. Constructing it
   up front makes that state explicit and avoids retaining a separate 
model-level weights field solely
   to lazily reconstruct the feed-forward model. The trained weights remain 
available through the
   existing public `weights` accessor and continue to be used by persistence 
and model copying.
   
   ### Does this PR introduce _any_ user-facing change?
   
   No.
   
   ### How was this patch tested?
   
   - `build/sbt mllib/compile`
   - `build/sbt 'mllib/testOnly *MultilayerPerceptronClassifierSuite'`
   - `./dev/mima`
   - `./dev/scalastyle`
   
   ### Was this patch authored or co-authored using generative AI tooling?
   
   Generated-by: Codex (GPT-5)
   


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