DFP Split Users Module

(Latest Version)

This module function splits the data based on user IDs.

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

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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" }

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