コード例 #1
0
ファイル: test_database.py プロジェクト: stjordanis/srlearn
def test_write_to_location_1(tmpdir):
    """
    Test that predicates are written to files in a target location with add_pos syntax.
    """
    _db = Database()
    _db.add_pos("a(b).")
    _db.add_neg("a(c).")
    _db.add_fact("d(b,c).")
    _db.write(filename="train", location=pathlib.Path(tmpdir))
    assert tmpdir.join("train_pos.txt").read() == "a(b).\n"
    assert tmpdir.join("train_neg.txt").read() == "a(c).\n"
    assert tmpdir.join("train_facts.txt").read() == "d(b,c).\n"
コード例 #2
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ファイル: test_database.py プロジェクト: stjordanis/srlearn
def test_initialize_database_1():
    """
    Test initializing a Database with defualt settings.
    """
    _db = Database()
    assert _db.pos == []
    assert _db.neg == []
    assert _db.facts == []
コード例 #3
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ファイル: test_database.py プロジェクト: stjordanis/srlearn
def test_initialize_database_2():
    """
    Test initializing a Database with a specific target.
    """
    _db = Database()
    assert _db.pos == []
    assert _db.neg == []
    assert _db.facts == []
コード例 #4
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def test_serialize_BoostedRDNRegressor(tmpdir):
    """Test serializing and inference with a regressor object."""
    output_json = tmpdir.join("BostonHousingRDN.json")

    train = Database.from_files(
        pos="datasets/Boston/train/pos.pl",
        neg="datasets/Boston/train/neg.pl",
        facts="datasets/Boston/train/facts.pl",
    )

    bkg = Background(modes=[
        "crim(+id,#varsrim).",
        "zn(+id,#varzn).",
        "indus(+id,#varindus).",
        "chas(+id,#varchas).",
        "nox(+id,#varnox).",
        "rm(+id,#varrm).",
        "age(+id,#varage).",
        "dis(+id,#vardis).",
        "rad(+id,#varrad).",
        "tax(+id,#vartax).",
        "ptratio(+id,#varptrat).",
        "b(+id,#varb).",
        "lstat(+id,#varlstat).",
        "medv(+id).",
    ])

    rdn = BoostedRDNRegressor(background=bkg, target="medv", n_estimators=5)
    rdn.fit(train)
    rdn.to_json(output_json)

    # New BoostedRDN instance, loading from file, and running.
    rdn2 = BoostedRDNRegressor()
    rdn2.from_json(output_json)

    test = Database.from_files(
        pos="datasets/Boston/test/pos.pl",
        neg="datasets/Boston/test/neg.pl",
        facts="datasets/Boston/test/facts.pl",
    )

    _predictions = rdn2.predict(test)
    assert len(_predictions) == 13
コード例 #5
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ファイル: test_database.py プロジェクト: stjordanis/srlearn
def test_initialize_from_files_lazy_paths():
    """Test initializing from pathlib.Path filenames with lazy loading."""
    _db = Database.from_files(
        pos=pathlib.Path("datasets/ToyFather/train/pos.pl"),
        neg=pathlib.Path("datasets/ToyFather/train/neg.pl"),
        facts=pathlib.Path("datasets/ToyFather/train/facts.pl"),
        lazy_load=True,
    )
    assert _db.pos == pathlib.Path("datasets/ToyFather/train/pos.pl")
    assert _db.neg == pathlib.Path("datasets/ToyFather/train/neg.pl")
    assert _db.facts == pathlib.Path("datasets/ToyFather/train/facts.pl")
コード例 #6
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ファイル: test_database.py プロジェクト: stjordanis/srlearn
def test_initialize_from_files_lazy_strings():
    """Test initializing from string filename with lazy loading."""
    _db = Database.from_files(
        pos="datasets/ToyFather/train/pos.pl",
        neg="datasets/ToyFather/train/neg.pl",
        facts="datasets/ToyFather/train/facts.pl",
        lazy_load=True,
    )
    assert _db.pos == "datasets/ToyFather/train/pos.pl"
    assert _db.neg == "datasets/ToyFather/train/neg.pl"
    assert _db.facts == "datasets/ToyFather/train/facts.pl"
コード例 #7
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ファイル: test_database.py プロジェクト: stjordanis/srlearn
def test_initialize_mix():
    """Test initializing from a mix of lazy and lists."""

    _pos = "datasets/ToyFather/train/pos.pl"
    _neg = "datasets/ToyFather/train/neg.pl"
    _facts = pathlib.Path("datasets/ToyFather/train/facts.pl")
    _db = Database.from_files(pos=_pos, neg=_neg, facts=_facts, lazy_load=True)

    _db.neg = ["father(harrypotter,ronweasley)."]

    assert isinstance(_db.pos, str)
    assert isinstance(_db.neg, list)
    assert isinstance(_db.facts, pathlib.Path)
def test_boston_predict_after_load(test_input):
    """Load a 0.5.2 BostonHousing json file and predict."""
    clf = BoostedRDNRegressor()
    clf.from_json("srlearn/tests/regression_tests/json/boston_{0}.json".format(
        test_input))

    test = Database.from_files(
        pos="datasets/Boston/test/pos.pl",
        neg="datasets/Boston/test/neg.pl",
        facts="datasets/Boston/test/facts.pl",
    )

    _predictions = clf.predict(test)
    assert len(_predictions) == 13
コード例 #9
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ファイル: test_database.py プロジェクト: stjordanis/srlearn
def test_lazy_write(tmpdir):
    """Test writing to a location after a lazy load."""

    _pos = "datasets/ToyFather/train/pos.pl"
    _neg = "datasets/ToyFather/train/neg.pl"
    _facts = "datasets/ToyFather/train/facts.pl"
    _db = Database.from_files(pos=_pos, neg=_neg, facts=_facts, lazy_load=True)

    assert isinstance(_db.pos, str)
    assert isinstance(_db.neg, str)
    assert isinstance(_db.facts, str)

    _db.write(filename="train", location=pathlib.Path(tmpdir))
    assert tmpdir.join("train_pos.txt").read() == open(_pos).read()
    assert tmpdir.join("train_neg.txt").read() == open(_neg).read()
    assert tmpdir.join("train_facts.txt").read() == open(_facts).read()
コード例 #10
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ファイル: test_database.py プロジェクト: stjordanis/srlearn
def test_initialize_from_files_not_lazy():
    """Test initializing from files without lazy loading."""

    _pos = "datasets/ToyFather/train/pos.pl"
    _neg = "datasets/ToyFather/train/neg.pl"
    _facts = "datasets/ToyFather/train/facts.pl"
    _db = Database.from_files(pos=_pos,
                              neg=_neg,
                              facts=_facts,
                              lazy_load=False)

    assert isinstance(_db.pos, list)
    assert isinstance(_db.neg, list)
    assert isinstance(_db.facts, list)
    assert _db.pos == open(_pos).read().splitlines()
    assert _db.neg == open(_neg).read().splitlines()
    assert _db.facts == open(_facts).read().splitlines()
コード例 #11
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ファイル: test_database.py プロジェクト: stjordanis/srlearn
def test_mixed_write(tmpdir):
    """Test writing to a location with a mix of lazy, non-lazy, and lists."""

    _pos = "datasets/ToyFather/train/pos.pl"
    _neg = "datasets/ToyFather/train/neg.pl"
    _facts = pathlib.Path("datasets/ToyFather/train/facts.pl")
    _db = Database.from_files(pos=_pos, neg=_neg, facts=_facts, lazy_load=True)

    _db.neg = ["father(harrypotter,ronweasley)."]

    assert isinstance(_db.pos, str)
    assert isinstance(_db.neg, list)
    assert isinstance(_db.facts, pathlib.Path)

    _db.write(filename="test", location=pathlib.Path(tmpdir))
    assert tmpdir.join("test_pos.txt").read() == open(_pos).read()
    assert tmpdir.join(
        "test_neg.txt").read() == "father(harrypotter,ronweasley).\n"
    assert tmpdir.join("test_facts.txt").read() == open(_facts).read()