com.databricks.labs.automl
val data: DataFrame = spark.table("db.test") val mapOverrides: Map[String, Any] = Map("labelCol" -> "finalLabelCol", "tunerNumberOfMutationsPerGeneration" -> 5) val randomForestConfig = ConfigurationGenerator.generateConfigFromMap("RandomForest", "classifier", mapOverrides) val logRegConfig = ConfigurationGenerator.generateConfigFromMap("LogisticRegression", "classifier", mapOverrides) val treeConfig = ConfigurationGenerator.generateConfigFromMap("Trees", "classifier", mapOverrides) val runner = new FamilyRunner(data, Array(randomForestConfig, logRegConfig, treeConfig)).execute
0.5.0.3
Companion Object allowing for class instantiation through configs either as an Instance config or Map overrides collection.
val data: DataFrame = spark.table("db.test") val mapOverrides: Map[String, Any] = Map("labelCol" -> "finalLabelCol", "tunerNumberOfMutationsPerGeneration" -> 5) val randomForestConfig = ConfigurationGenerator.generateConfigFromMap("RandomForest", "classifier", mapOverrides) val logRegConfig = ConfigurationGenerator.generateConfigFromMap("LogisticRegression", "classifier", mapOverrides) val treeConfig = ConfigurationGenerator.generateConfigFromMap("Trees", "classifier", mapOverrides) val runner = new FamilyRunner(data, Array(randomForestConfig, logRegConfig, treeConfig)).execute
0.5.0.3