Collaborative Filter Predictor

Outputs predicted ratings for products using the Collaborative Filtering model created by the trainer. Uses both the model trained by the Collaborative Filter Trainer and a data set.

Information at a Glance

Category	Predict
Data source type	HD
Sends output to other operators	Yes
Data processing tool	Spark

Input

Output from a Collaborative Filter Trainer operator and a tabular data set with a column of user IDs and product IDs.

Configuration

Parameter	Description
Notes	Any notes or helpful information about this operator's parameter settings. When you enter content in the Notes field, a yellow asterisk is displayed on the operator.
Users Column	Column in the data set that contains user IDs.
Products Column	Column in the data set that contains product IDs.
Output Directory	The location to store the output files.
Output Name	The name to contain the results.
Overwrite Output	Specifies whether to delete existing data at that path. Yes - if the path exists, delete that file and save the results. No - fail if the path already exists.
Storage Format	Select the format in which to store the results. The storage format is determined by your type of operator. Typical formats are Avro, CSV, TSV, or Parquet.
Compression	Select the type of compression for the output. Available Parquet compression options. GZIP Deflate Snappy no compression Available Avro compression options. Deflate Snappy no compression
Advanced Spark Settings Automatic Optimization	Yes specifies using the default Spark optimization settings. No enables providing customized Spark optimization. Click Edit Settings to customize Spark optimization. See Advanced Settings Dialog Box for more information.