Hello All,
Apache Spark ML's LogisticRegressionModel has summary().objectHistory()
method. Is there any such method available for
MultilayerPerceptronClassificationModel? If not, what’s a way to get loss
per iteration? Any help is greatly appreaciated. Thank you.
JDBC read from Oracle table requires Oracle jdbc driver ojdbc6.jar or
higher. ojdbc6.jar works for 11 and 12c added as --jars /ojdbc6.jar
Example with parallel read (4 connections) to Oracle with ID being your PK
in Oracle table
var _ORACLEserver= "jdbc:oracle:thin:@rhes564:1521:mydb12"
var
This behaviour is governed by the underlying RDBMS for bulk insert, where
it either commits or roll backs.
You can insert new rows into an staging table in Oracle (which is common in
ETL) and then insert/select into Oracle table in shell routine.
The other way is to use JDBC in Spark to read
