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[ML][docs][minor] Define LabeledDocument/Document classes in CV example #5135
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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@@ -565,6 +565,11 @@ import org.apache.spark.ml.tuning.{ParamGridBuilder, CrossValidator} | |
| import org.apache.spark.mllib.linalg.Vector | ||
| import org.apache.spark.sql.{Row, SQLContext} | ||
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| // Labeled and unlabeled instance types. | ||
| // Spark SQL can infer schema from case classes. | ||
| case class LabeledDocument(id: Long, text: String, label: Double) | ||
| case class Document(id: Long, text: String) | ||
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| val conf = new SparkConf().setAppName("CrossValidatorExample") | ||
| val sc = new SparkContext(conf) | ||
| val sqlContext = new SQLContext(sc) | ||
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@@ -655,6 +660,36 @@ import org.apache.spark.sql.DataFrame; | |
| import org.apache.spark.sql.Row; | ||
| import org.apache.spark.sql.SQLContext; | ||
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| // Labeled and unlabeled instance types. | ||
| // Spark SQL can infer schema from Java Beans. | ||
| public class Document implements Serializable { | ||
| private Long id; | ||
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| private String text; | ||
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| public Document(Long id, String text) { | ||
| this.id = id; | ||
| this.text = text; | ||
| } | ||
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| public Long getId() { return this.id; } | ||
| public void setId(Long id) { this.id = id; } | ||
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| public String getText() { return this.text; } | ||
| public void setText(String text) { this.text = text; } | ||
| } | ||
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| public class LabeledDocument extends Document implements Serializable { | ||
| private Double label; | ||
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| public LabeledDocument(Long id, String text, Double label) { | ||
| super(id, text); | ||
| this.label = label; | ||
| } | ||
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| public Double getLabel() { return this.label; } | ||
| public void setLabel(Double label) { this.label = label; } | ||
| } | ||
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| SparkConf conf = new SparkConf().setAppName("JavaCrossValidatorExample"); | ||
| JavaSparkContext jsc = new JavaSparkContext(conf); | ||
| SQLContext jsql = new SQLContext(jsc); | ||
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OK so this is intentionally duplicated from the example above? I guess that's reasonable since the point is to be self-contained, and I don't imagine there's a lot of maintenance overhead in trying to evolve both copies together.
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Yes it's annoying when copy/pasting a bunch of code into spark shell and it fails because these classes are not declared.