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IMP Reference Guide  develop.cb6747d2d1,2024/03/28
The Integrative Modeling Platform
write_a_metric.py
1 ## \example statistics/write_a_metric.py
2 # This simple example shows how to write an IMP.statistics.Metric in Python.
3 
4 import IMP.statistics
5 import math
6 import random
7 import sys
8 
9 IMP.setup_from_argv(sys.argv, "write a metric")
10 
11 
13 
14  """Define a metric on a list of floating point numbers based on
15  their difference"""
16 
17  def __init__(self, nums):
18  """Store the list of numbers to measure distances between"""
19  IMP.statistics.Metric.__init__(self, "MyMetric%1%")
20  self._nums = nums
21 
22  def get_distance(self, i, j):
23  "Return the magnitude of the distance between the ith and jth number"
24  return math.fabs(self._nums[i] - self._nums[j])
25 
26  def get_number_of_items(self):
27  return len(self._nums)
28 
29 
30 mm = MyMetric([random.uniform(0, 1) for i in range(0, 15)])
31 
33 print(cc.get_number_of_clusters())
PartitionalClustering * create_centrality_clustering(Embedding *d, double far, int k)
Strings setup_from_argv(const Strings &argv, std::string description, std::string positional_description, int num_positional)
Code to compute statistical measures.
Store data to be clustered for distance metric based algorithms.
Definition: Metric.h:25