|
|
import copy |
|
|
import pytest |
|
|
from scipy.cluster import hierarchy as sch |
|
|
|
|
|
|
|
|
@pytest.mark.parametrize('model', [('kmeans_pca_topic_model'), ('custom_topic_model'), ('merged_topic_model'), ('reduced_topic_model'), ('online_topic_model')]) |
|
|
def test_hierarchy(model, documents, request): |
|
|
topic_model = copy.deepcopy(request.getfixturevalue(model)) |
|
|
hierarchical_topics = topic_model.hierarchical_topics(documents) |
|
|
|
|
|
merged_topics = set([v for vals in hierarchical_topics.Topics.values for v in vals]) |
|
|
|
|
|
assert len(hierarchical_topics) > 0 |
|
|
assert merged_topics == set(topic_model.topics_).difference({-1}) |
|
|
|
|
|
|
|
|
@pytest.mark.parametrize('model', [('kmeans_pca_topic_model'), ('custom_topic_model'), ('merged_topic_model'), ('reduced_topic_model'), ('online_topic_model')]) |
|
|
def test_linkage(model, documents, request): |
|
|
topic_model = copy.deepcopy(request.getfixturevalue(model)) |
|
|
linkage_function = lambda x: sch.linkage(x, 'single', optimal_ordering=True) |
|
|
hierarchical_topics = topic_model.hierarchical_topics(documents, linkage_function=linkage_function) |
|
|
merged_topics = set([v for vals in hierarchical_topics.Topics.values for v in vals]) |
|
|
tree = topic_model.get_topic_tree(hierarchical_topics) |
|
|
|
|
|
assert len(hierarchical_topics) > 0 |
|
|
assert len(tree) > 50 |
|
|
assert len(tree.split("\n")) <= 2 * len(set(topic_model.topics_)) |
|
|
assert merged_topics == set(topic_model.topics_).difference({-1}) |
|
|
|
|
|
|
|
|
@pytest.mark.parametrize('model', [('kmeans_pca_topic_model'), ('custom_topic_model'), ('merged_topic_model'), ('reduced_topic_model'), ('online_topic_model')]) |
|
|
def test_tree(model, documents, request): |
|
|
topic_model = copy.deepcopy(request.getfixturevalue(model)) |
|
|
linkage_function = lambda x: sch.linkage(x, 'single', optimal_ordering=True) |
|
|
hierarchical_topics = topic_model.hierarchical_topics(documents, linkage_function=linkage_function) |
|
|
merged_topics = set([v for vals in hierarchical_topics.Topics.values for v in vals]) |
|
|
tree = topic_model.get_topic_tree(hierarchical_topics) |
|
|
|
|
|
assert len(hierarchical_topics) > 0 |
|
|
assert len(tree) > 50 |
|
|
assert len(tree.split("\n")) <= 2 * len(set(topic_model.topics_)) |
|
|
assert merged_topics == set(topic_model.topics_).difference({-1}) |
|
|
|
