factor_agent.web.run_view.Placed#

class Placed(round, slot, status, factor_direction, ic_mean, ic_t, partial_ic_mean, partial_ic_t, largest_correlation, threshold, monotonicity)[source]#

Bases: object

An evaluated trial as the admission map places it, with its statistics in its direction.

round and slot name the trial, status is accepted or rejected. factor_direction is +1 when a higher value went with a higher training return, -1 otherwise. ic_mean, ic_t, partial_ic_mean and partial_ic_t are in that direction; the trial’s metrics keep the raw values. largest_correlation is the larger absolute correlation with the nearest reference or accepted factor and the nearest known one, None when there was none to compare with. threshold is the t threshold of its round, as Factor.threshold (None while nothing gives it). monotonicity is its decile monotonicity in its direction, as admission’s.

Attributes#

Placed.round#
Placed.slot#
Placed.status#
Placed.factor_direction#
Placed.ic_mean#
Placed.ic_t#
Placed.partial_ic_mean#
Placed.partial_ic_t#
Placed.largest_correlation#
Placed.threshold#
Placed.monotonicity#