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test_topn_recall.py
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test_topn_recall.py
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import numpy as np
import pandas as pd
from pytest import approx
from lenskit.topn import recall
def _test_recall(items, rel):
recs = pd.DataFrame({'item': items})
truth = pd.DataFrame({'item': rel}).set_index('item')
return recall(recs, truth)
def test_recall_empty_zero():
prec = _test_recall([], [1, 3])
assert prec == approx(0)
def test_recall_norel_na():
prec = _test_recall([1, 3], [])
assert prec is None
def test_recall_simple_cases():
prec = _test_recall([1, 3], [1, 3])
assert prec == approx(1.0)
prec = _test_recall([1], [1, 3])
assert prec == approx(0.5)
prec = _test_recall([1, 2, 3, 4], [1, 3])
assert prec == approx(1.0)
prec = _test_recall([1, 2, 3, 4], [1, 3, 5])
assert prec == approx(2.0 / 3)
prec = _test_recall([1, 2, 3, 4], range(5, 10))
assert prec == approx(0.0)
prec = _test_recall([1, 2, 3, 4], range(4, 9))
assert prec == approx(0.2)
def test_recall_series():
prec = _test_recall(pd.Series([1, 3]), pd.Series([1, 3]))
assert prec == approx(1.0)
prec = _test_recall(pd.Series([1, 2, 3]), pd.Series([1, 3, 5, 7]))
assert prec == approx(0.5)
prec = _test_recall(pd.Series([1, 2, 3, 4]), pd.Series(range(4, 9)))
assert prec == approx(0.2)
def test_recall_series_set():
prec = _test_recall(pd.Series([1, 2, 3, 4]), [1, 3, 5, 7])
assert prec == approx(0.5)
prec = _test_recall(pd.Series([1, 2, 3, 4]), range(4, 9))
assert prec == approx(0.2)
def test_recall_series_index():
prec = _test_recall(pd.Series([1, 3]), pd.Index([1, 3]))
assert prec == approx(1.0)
prec = _test_recall(pd.Series([1, 2, 3, 4]), pd.Index([1, 3, 5, 7]))
assert prec == approx(0.5)
prec = _test_recall(pd.Series([1, 2, 3, 4]), pd.Index(range(4, 9)))
assert prec == approx(0.2)
def test_recall_series_array():
prec = _test_recall(pd.Series([1, 3]), np.array([1, 3]))
assert prec == approx(1.0)
prec = _test_recall(pd.Series([1, 2, 3, 4]), np.array([1, 3, 5, 7]))
assert prec == approx(0.5)
prec = _test_recall(pd.Series([1, 2, 3, 4]), np.arange(4, 9, 1, 'u4'))
assert prec == approx(0.2)
def test_recall_array():
prec = _test_recall(np.array([1, 3]), np.array([1, 3]))
assert prec == approx(1.0)
prec = _test_recall(np.array([1, 2, 3, 4]), np.array([1, 3, 5, 7]))
assert prec == approx(0.5)
prec = _test_recall(np.array([1, 2, 3, 4]), np.arange(4, 9, 1, 'u4'))
assert prec == approx(0.2)