def __init__(self):
FeatureGroup.__init__(
self, {
"displacementFromGround":
"The difference between the distance of the start of the figure and the centroid of the ground,a and the end of the figure and the centroid of the ground.",
"endpointDist":
"Distance between ground endpoitn and my endpoint",
"startpointDist":
"Distance between ground endpoitn and my endpoint",
})
def __init__(self):
names = [p.name for p in primitives]
fmap = []
for i, p1 in enumerate(primitives):
fmap.append((p1.name, p1.name))
for p2 in primitives[i:]:
if p1 != p2:
name = "%s AND %s" % (p1.name, p2.name)
names.append(name)
fmap.append((name, name))
FeatureGroup.__init__(self, dict(fmap))
self.names = names # so the order is right
def __init__(self):
FeatureGroup.__init__(self, {"pathLength":"Ratio of the length of the path compared to the length of the shortest path between the two points."})
def __init__(self):
FeatureGroup.__init__(self, {"stdErrorOfRegression":"The scaled standard error of a regression line."})
def __init__(self):
FeatureGroup.__init__(self, {"averageDistance":"The average distance between the figure and landmark.",
"stdDevOfDistance":"The variance of the distance.",
#"averageDistanceAtEnd":"Average distance in last 10%",
#"averageDistanceAtStart":"Average distance in fist 10%",
})
def __init__(self):
FeatureGroup.__init__(self, {"averageVisibility":"Proportion of time figure is visible from ground."})
def __init__(self):
FeatureGroup.__init__(self, {"averageDifferenceInAngle":"Difference in movement direction from movement towards landmark"})
def __init__(self):
FeatureGroup.__init__(
self,
{"netDisplacement": "The scaled distance traveled by the figure."})
def __init__(self):
FeatureGroup.__init__(
self, {
"hasApproach": "Whether figure approaches ground.",
"hasFollow": "Whether figure follows landmark",
})