org.apache.spark.ml.impl.estimator

Interface PredictorParams

All Superinterfaces:

HasFeaturesCol, HasLabelCol, HasPredictionCol, Identifiable, Params, java.io.Serializable

All Known Subinterfaces:

ClassifierParams, LinearRegressionParams, LogisticRegressionParams, ProbabilisticClassifierParams, RegressorParams

All Known Implementing Classes:

ClassificationModel, Classifier, LinearRegression, LinearRegressionModel, LogisticRegression, LogisticRegressionModel, PredictionModel, Predictor, ProbabilisticClassificationModel, ProbabilisticClassifier, RegressionModel, Regressor

public interface PredictorParams
extends Params, HasLabelCol, HasFeaturesCol, HasPredictionCol

:: DeveloperApi ::

Trait for parameters for prediction (regression and classification).

NOTE: This is currently private[spark] but will be made public later once it is stabilized.

Method Summary

Methods

Modifier and Type	Method and Description
org.apache.spark.sql.types.StructType	validateAndTransformSchema(org.apache.spark.sql.types.StructType schema, ParamMap paramMap, boolean fitting, org.apache.spark.sql.types.DataType featuresDataType) Validates and transforms the input schema with the provided param map.

Methods inherited from interface org.apache.spark.ml.param.HasLabelCol

getLabelCol, labelCol

Methods inherited from interface org.apache.spark.ml.param.HasFeaturesCol

featuresCol, getFeaturesCol

Methods inherited from interface org.apache.spark.ml.param.HasPredictionCol

getPredictionCol, predictionCol

Methods inherited from interface org.apache.spark.ml.param.Params

addOutputColumn, checkInputColumn, explainParams, get, getParam, isSet, paramMap, params, set, set, validate, validate

Methods inherited from interface org.apache.spark.ml.Identifiable

uid

Method Detail

validateAndTransformSchema

org.apache.spark.sql.types.StructType validateAndTransformSchema(org.apache.spark.sql.types.StructType schema,
                                                               ParamMap paramMap,
                                                               boolean fitting,
                                                               org.apache.spark.sql.types.DataType featuresDataType)

Validates and transforms the input schema with the provided param map.

Parameters:

schema - input schema

paramMap - additional parameters

fitting - whether this is in fitting

featuresDataType - SQL DataType for FeaturesType. E.g., VectorUDT for vector features.

Returns:

output schema