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for finding and fixing issues
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class Observation(object):
x = None
y = None
group_id = None
label = None
def __init__(self, x=None, label=None, group_id=None, y=None):
if x is not None:
self.x = x
if y is not None:
self.y = y
if label is not None:
self.label = label
if group_id is not None:
self.group_id = group_id
def is_categorical(self):
return self.label is not None
def is_numerical(self):
return self.x is not None
class Sample(object):
observations = None
def __init__(self):
self.observations = []
def add(self, observation):
self.observations.append(observation)
def size(self):
return len(self.observations)
def get(self, index):
return self.observations[index]
return self.observations[0].is_categorical()
return self.observations[0].is_numerical()
def count_by_group_id(self, group_id):
return sum(1 for x in self.observations if group_id is None or x.group_id == group_id)
class SampleDistribution(object):
sample = None
def __init__(self, sample=None, group_id=None):
if sample is not None:
self.sample = sample
self.mean = SampleDistribution.calculate_mean(sample, group_id)
@staticmethod
def calculate_mean(sample, group_id):
count = 0
sum = 0
for i in range(sample.size()):
observation = sample.get(i)
if observation.group_id != group_id:
continue
sum += observation.x
count += 1
return sum / count
chen0040 /
pysie
