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https://issues.apache.org/jira/browse/SPARK-50988?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ruifeng Zheng resolved SPARK-50988.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 49674
[https://github.com/apache/spark/pull/49674]
> Make model uid consistent with estimator
> ----------------------------------------
>
> Key: SPARK-50988
> URL: https://issues.apache.org/jira/browse/SPARK-50988
> Project: Spark
> Issue Type: Sub-task
> Components: Connect, ML
> Affects Versions: 4.0.0
> Reporter: Ruifeng Zheng
> Assignee: Bobby Wang
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.0.0
>
>
> {code:java}
> In [1]: from pyspark.ml.linalg import Vectors, Matrices
> ...: from pyspark.sql import SparkSession, DataFrame
> ...: from pyspark.ml.classification import *
> In [2]: df = spark.createDataFrame(
> ...: [
> ...: (1.0, 1.0, Vectors.dense(0.0, 5.0)),
> ...: (0.0, 2.0, Vectors.dense(1.0, 2.0)),
> ...: (1.0, 3.0, Vectors.dense(2.0, 1.0)),
> ...: (0.0, 4.0, Vectors.dense(3.0, 3.0)),
> ...: ],
> ...: ["label", "weight", "features"],
> ...: )
> In [3]: svc = LinearSVC(maxIter=1, regParam=1.0)In [4]: svc.uid
> Out[4]: 'LinearSVC_2630f5817c54'
> In [5]: model = svc.fit(df)
> 25/01/25 15:47:59 WARN CheckAllocator: More than one DefaultAllocationManager
> on classpath. Choosing first found
> [********************************************************************************]
> 100.00% Complete (0 Tasks running, 2s, Scanned 0.0 B)25/01/25 15:48:01 WARN
> InstanceBuilder: Failed to load implementation
> from:dev.ludovic.netlib.blas.JNIBLAS
> In [6]: model.uid
> Out[6]: 'LinearSVCModel_87ad7716304b' {code}
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