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Posted to issues@spark.apache.org by "zhengruifeng (JIRA)" <ji...@apache.org> on 2016/11/14 11:37:58 UTC

[jira] [Created] (SPARK-18434) Add missing ParamValidations for ML algos

zhengruifeng created SPARK-18434:
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             Summary: 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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