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https://issues.apache.org/jira/browse/SPARK-18434?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-18434:
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Assignee: (was: Apache Spark)
> Add missing ParamValidations for ML algos
> -----------------------------------------
>
> Key: SPARK-18434
> URL: https://issues.apache.org/jira/browse/SPARK-18434
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Reporter: zhengruifeng
> Priority: Minor
>
> add ParamValidations to make following lines fail:
> {code}
> scala> val idf = new IDF().setMinDocFreq(-100)
> idf: org.apache.spark.ml.feature.IDF = idf_4d2e6a4f2361
> scala> val pca = new PCA().setK(-100)
> pca: org.apache.spark.ml.feature.PCA = pca_7b22fbec5e97
> scala> val w2v = new Word2Vec().setVectorSize(-100)
> w2v: org.apache.spark.ml.feature.Word2Vec = w2v_06be869a20d9
> scala> val iso = new IsotonicRegression().setFeatureIndex(-100)
> iso: org.apache.spark.ml.regression.IsotonicRegression = isoReg_b9c59e9b6cbd
> scala> val lir = new LinearRegression().setSolver("1234")
> lir: org.apache.spark.ml.regression.LinearRegression = linReg_4e3c1c5e2904
> scala> val rfc = new RandomForestClassifier().setMinInfoGain(-100)
> rfc: org.apache.spark.ml.classification.RandomForestClassifier =
> rfc_6db27a737216
> {code}
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