I have created a custom transformer to be used in a ml pipeline. I was able to write the pipeline to storage by extending the transformer class with DefaultParamsWritable. Reading the pipeline back in however, does not seem possible in Scala. I have...
Hi i am reading from a text file from a blob val sparkDF = spark.read.format(file_type) .option("header", "true") .option("inferSchema", "true") .option("delimiter", file_delimiter) .load(wasbs_string + "/" + PR_FileName) Then i test my Datafra...
Create temp folder inside output folder. Copy file part-00000* with the file name to output folder. Delete the temp folder. Python code snippet to do the same. fpath=output+'/'+'temp' def file_exists(path): try: dbutils.fs.ls(path) return...
