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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