DFP Split Users Module

This module function splits the data based on user IDs.

Configurable Parameters

Parameter	Type	Description	Example Value	Default Value
cache_mode	string	The user ID to use if the user ID is not found	“batch”	`batch`
min_history	int	Minimum history to trigger a new training event	1	`1`
max_history	int	Maximum history to include in a new training event	0	`0`
timestamp_column_name	string	Name of the column containing timestamps	“timestamp”	`timestamp`
aggregation_span	string	Lookback timespan for training data in a new training event	“60d”	`60d`
cache_to_disk	bool	Whether or not to cache streaming data to disk	false	`false`
cache_dir	string	Directory to use for caching streaming data	“./.cache”	`./.cache`

Example JSON Configuration

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            {
  "cache_mode": "batch",
  "min_history": 1,
  "max_history": 0,
  "timestamp_column_name": "timestamp",
  "aggregation_span": "60d",
  "cache_to_disk": false,
  "cache_dir": "./.cache"
}