def test_get_cohens_d_scores_zero_robust(self):
corpus = build_hamlet_jz_corpus()
corpus._X[1, :] = 0
np.testing.assert_almost_equal(
CohensD(corpus).set_term_ranker(OncePerDocFrequencyRanker).
set_categories('hamlet').get_scores()[:5],
[-0.2303607, 0.8838835, 0.8838835, 0.8838835, 0.8838835])
def test_get_cohens_d_scores(self):
corpus = build_hamlet_jz_corpus()
np.testing.assert_almost_equal(
CohensD(corpus).set_term_ranker(OncePerDocFrequencyRanker).
set_categories('hamlet').get_cohens_d_scores()[:9], [
0., 0.8242361, 0.8242361, 1.4276187, 0.8242361, 0.8242361,
0.8242361, 0.8242361, 0.5395892
])
def test_get_cohens_d_score_df(self):
corpus = build_hamlet_jz_corpus()
columns = (CohensD(corpus)
.set_term_ranker(OncePerDocFrequencyRanker)
.set_categories('hamlet')
.get_score_df().columns)
self.assertEqual(set(columns), set(['cohens_d', 'cohens_d_se', 'cohens_d_z', 'cohens_d_p', 'hedges_r',
'hedges_r_se', 'hedges_r_z', 'hedges_r_p', 'm1', 'm2']))
def test_get_name(self):
corpus = build_hamlet_jz_corpus()
self.assertEqual(
CohensD(corpus).set_categories('hamlet').get_name(), "Cohen's d")
def test_get_cohens_d_scores(self):
corpus = build_hamlet_jz_corpus()
np.testing.assert_almost_equal(
CohensD(corpus).set_term_ranker(OncePerDocFrequencyRanker).
set_categories('hamlet').get_scores()[:5],
[-0.2127981, 0.8164966, 0.8164966, 1.3669723, 0.8164966])
def test_get_cohens_d_scores(self):
corpus = build_hamlet_jz_corpus()
np.testing.assert_almost_equal(
CohensD(corpus).set_term_ranker(OncePerDocFrequencyRanker).
set_categories('hamlet').get_scores()[:5],
[-0.2884615, 0.625, 0.625, 0.9919727, 0.625])