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solution for implementation and testing of labels_frequency by Aitor and Julia #16

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solution for implementation and testing of labels_frequency by Aitor and Julia #16

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919e362
added test_labels_frequency to test for empty function
Sep 3, 2019
50180fc
implemented labels_frequency function
Sep 3, 2019
d493de0
fixed syntax
Sep 3, 2019
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5 changes: 4 additions & 1 deletion hands_on/pyanno_voting/pyanno/tests/test_voting.py
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Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
import numpy as np

from numpy.testing import assert_array_equal
from pyanno import voting
from pyanno.voting import MISSING_VALUE as MV

Expand All @@ -16,6 +16,9 @@ def test_labels_count():
result = voting.labels_count(annotations, nclasses)
assert result == expected

def test_labels_frequency():
call_labels = voting.labels_frequency([[1, 1, 2], [-1, 1, 2]], 4)
assert_array_equal(call_labels, np.array([ 0. , 0.6, 0.4, 0. ]))

def test_majority_vote():
annotations = [
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8 changes: 7 additions & 1 deletion hands_on/pyanno_voting/pyanno/voting.py
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Original file line number Diff line number Diff line change
Expand Up @@ -82,7 +82,6 @@ def majority_vote(annotations):

def labels_frequency(annotations, nclasses):
"""Compute the total frequency of labels in observed annotations.

Example:
>>> labels_frequency([[1, 1, 2], [-1, 1, 2]], 4)
array([ 0. , 0.6, 0.4, 0. ])
Expand All @@ -100,3 +99,10 @@ def labels_frequency(annotations, nclasses):
freq[k] is the frequency of elements of class k in `annotations`, i.e.
their count over the number of total of observed (non-missing) elements
"""
annotations = np.array(annotations)
total_votes = np.sum(annotations != -1)
label_freq = np.empty(nclasses)
for i in range(nclasses):
num_votes = np.sum(annotations == i)
label_freq[i] = num_votes / total_votes
return label_freq