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Objectorg.apache.spark.ml.PipelineStage
org.apache.spark.ml.Estimator<StringIndexerModel>
org.apache.spark.ml.feature.StringIndexer
public class StringIndexer
:: Experimental :: A label indexer that maps a string column of labels to an ML column of label indices. If the input column is numeric, we cast it to string and index the string values. The indices are in [0, numLabels), ordered by label frequencies. So the most frequent label gets index 0.
| Constructor Summary | |
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StringIndexer()
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StringIndexer(String uid)
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| Method Summary | |
|---|---|
StringIndexer |
copy(ParamMap extra)
Creates a copy of this instance with the same UID and some extra params. |
StringIndexerModel |
fit(DataFrame dataset)
Fits a model to the input data. |
StringIndexer |
setInputCol(String value)
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StringIndexer |
setOutputCol(String value)
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StructType |
transformSchema(StructType schema)
:: DeveloperApi :: |
String |
uid()
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StructType |
validateAndTransformSchema(StructType schema)
Validates and transforms the input schema. |
| Methods inherited from class org.apache.spark.ml.Estimator |
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fit, fit, fit, fit |
| Methods inherited from class Object |
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equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Methods inherited from interface org.apache.spark.ml.param.Params |
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clear, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, paramMap, params, set, set, set, setDefault, setDefault, setDefault, shouldOwn, validateParams |
| Methods inherited from interface org.apache.spark.Logging |
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initializeIfNecessary, initializeLogging, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning |
| Constructor Detail |
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public StringIndexer(String uid)
public StringIndexer()
| Method Detail |
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public String uid()
public StringIndexer setInputCol(String value)
public StringIndexer setOutputCol(String value)
public StringIndexerModel fit(DataFrame dataset)
Estimator
fit in class Estimator<StringIndexerModel>dataset - (undocumented)
public StructType transformSchema(StructType schema)
PipelineStageDerives the output schema from the input schema.
transformSchema in class PipelineStageschema - (undocumented)
public StringIndexer copy(ParamMap extra)
Params
copy in interface Paramscopy in class Estimator<StringIndexerModel>extra - (undocumented)
defaultCopy()public StructType validateAndTransformSchema(StructType schema)
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