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https://issues.apache.org/jira/browse/SPARK-18767?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-18767:
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Assignee: Apache Spark
> Unify Models' toString methods
> ------------------------------
>
> Key: SPARK-18767
> URL: https://issues.apache.org/jira/browse/SPARK-18767
> Project: Spark
> Issue Type: Improvement
> Reporter: zhengruifeng
> Assignee: Apache Spark
> Priority: Minor
>
> Models' toString should output some info, no just the uid of its trainner.
> {code}
> scala> val nb = new NaiveBayes
> nb: org.apache.spark.ml.classification.NaiveBayes = nb_18e8984091a8
> scala> val nbm = nb.fit(data)
> nbm: org.apache.spark.ml.classification.NaiveBayesModel = NaiveBayesModel
> (uid=nb_18e8984091a8) with 2 classes
> scala> val dt = new DecisionTreeClassifier
> dt: org.apache.spark.ml.classification.DecisionTreeClassifier =
> dtc_627dac64995e
> scala> val dtm = dt.fit(data)
> 16/12/07 15:08:14 WARN Executor: 1 block locks were not released by TID = 94:
> [rdd_8_0]
> dtm: org.apache.spark.ml.classification.DecisionTreeClassificationModel =
> DecisionTreeClassificationModel (uid=dtc_627dac64995e) of depth 2 with 5 nodes
> scala> val lr = new LogisticRegression
> lr: org.apache.spark.ml.classification.LogisticRegression =
> logreg_251625c948a0
> scala> val lrm = lr.fit(data)
> lrm: org.apache.spark.ml.classification.LogisticRegressionModel =
> logreg_251625c948a0
> {code}
> I override toString in model to make them all like this:
> {{ModelClassName (uid=...) with key params}}
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