link_session_items
Link items (e.g. products) in sessions (baskets) if one item makes the presence of the other in the same session more likely.
A link (or association) A->B is created between items A and B if the presence of A makes the presence
of B in the same session N times more likely.
For further details about the algorithm see e.g. association rule learning.
Usage
The following example shows how the step can be used in a recipe.Examples
Examples
The following call creates links between pairs of items A and B, if:
- A occurs in at least 7 sessions
- B occurs in at least 25% of sessions containing A
- The presence of A in a session makes the presence of B in the same session at least twice as likely.
Inputs & Outputs
The following are the inputs expected by the step and the outputs it produces. These are generally columns (ds.first_name), datasets (ds or ds[["first_name", "last_name"]]) or models (referenced
by name e.g. "churn-clf").
Inputs
Inputs
Outputs
Outputs
Configuration
The following parameters can be used to configure the behaviour of the step by including them in a json object as the last “input” to the step, i.e.step(..., {"param": "value", ...}) -> (output).
Parameters
Parameters
Minimum Support.
Minimum support of a rule antecedent. If it is < 1 it will be taken as a proportion.
In any other case it will be expected as a positive integer representing the count.
Create link A->B only if A occurred in at least this many sessions.
Options
Options
number.Values must be in the following range:
Minimum Confidence.
Expressed as a rule as a percentage.
Include link A->B only if B occurred in at least this percentage of sessions also containing A.Values must be in the following range:
Minimum Lift.
Expressed as multipler/ratio. Include link A->B only if A makes the presence of B in the same
sessions at least this many times more likely.
Metric for link weight.Values must be one of the following:
itemset_support_abs itemset_support_pct filter_metric_abs filter_metric_pct antecedent_support_abs antecedent_support_pct consequent_support_abs consequent_support_pct rule_confidence_pct rule_lift_abs rule_lift_pct