FlowRec parameters¶
This is a list of FlowRec-specific parameters for prequential evaluation in addition to those originally provided by Scikit-Multiflow (see here).
session_column_index (required): | |
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The index of a data column containing session identifiers. | |
time_column_index (optional): | |
The index of a data column containing timestamps. Note that they are not used by the stream to order the samples. | |
event_column_index (optional): | |
The index of a data column containing indexed event types. This allows for event-specific training and evaluation. | |
rec_triggers (optional): | |
List of indexed event types for which recommendations are requested (only used when event_column_index is provided). | |
allow_repeated (default=True): | |
Allow/disallow previously suggested items to be recommended again in subsequent events of a session. | |
allow_reminders (default=True): | |
Allow/disallow previously visited items to be recommended in subsequent events of a session, thus acting as reminders. | |
rec_size (default=10): | |
The size of the recommendation list (a.k.a. cutoff). | |
n_skip (default=0): | |
The number of samples to skip from the start of the stream. | |
n_keep (default=1000): | |
The size of the observation window. |