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Object org.apache.spark.ml.PipelineStage org.apache.spark.ml.Transformer org.apache.spark.ml.Model<M> org.apache.spark.ml.PredictionModel<FeaturesType,M> org.apache.spark.ml.regression.RegressionModel<FeaturesType,M>
public abstract class RegressionModel<FeaturesType,M extends RegressionModel<FeaturesType,M>>
:: DeveloperApi ::
Model produced by a Regressor
.
Constructor Summary | |
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RegressionModel()
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Method Summary | |
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StructType |
validateAndTransformSchema(StructType schema,
boolean fitting,
DataType featuresDataType)
Validates and transforms the input schema with the provided param map. |
Methods inherited from class org.apache.spark.ml.PredictionModel |
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setFeaturesCol, setPredictionCol, transform, transformSchema |
Methods inherited from class org.apache.spark.ml.Model |
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copy, hasParent, parent, setParent |
Methods inherited from class org.apache.spark.ml.Transformer |
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transform, transform, transform |
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, copy, 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 RegressionModel()
Method Detail |
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public StructType validateAndTransformSchema(StructType schema, boolean fitting, DataType featuresDataType)
schema
- input schemafitting
- whether this is in fittingfeaturesDataType
- SQL DataType for FeaturesType.
E.g., VectorUDT
for vector features.
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