Esempio n. 1
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def model(titanic_vd):
    create_verticapy_schema()
    model_class = KernelDensity("KernelDensity_model_test",)
    model_class.drop()
    model_class.fit("public.titanic", ["age", "fare"])
    yield model_class
    model_class.drop()
Esempio n. 2
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    def test_model_from_vDF(self, titanic_vd):
        model_test = KernelDensity("KernelDensity_from_vDF_tmp",)
        model_test.drop()
        model_test.fit(titanic_vd, ["age", "fare"])
        titanic_copy = model_test.predict(titanic_vd.copy(), name="kde")

        assert titanic_copy["kde"].mean() == pytest.approx(
            1.82115211838814e-06, abs=1e-6
        )
        model_test.drop()
Esempio n. 3
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 def test_get_plot(self, model):
     result = model.plot()
     assert len(result.get_default_bbox_extra_artists()) == 8
     plt.close("all")
     model_test = KernelDensity("model_test_plot_kde_plot")
     model_test.drop()
     model_test.fit("public.titanic", ["age"])
     result = model_test.plot()
     assert len(result.get_default_bbox_extra_artists()) == 9
     model_test.drop()
Esempio n. 4
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def model(base, titanic_vd):
    try:
        create_verticapy_schema(base.cursor)
    except:
        pass
    model_class = KernelDensity("KernelDensity_model_test", cursor=base.cursor)
    model_class.drop()
    model_class.fit(
        "public.titanic",
        [
            "age",
            "fare",
        ],
    )
    yield model_class
    model_class.drop()
Esempio n. 5
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    def test_model_from_vDF(self, base, titanic_vd):
        model_test = KernelDensity("KernelDensity_from_vDF_tmp",
                                   cursor=base.cursor)
        model_test.drop()
        model_test.fit(
            titanic_vd,
            [
                "age",
                "fare",
            ],
        )
        titanic_copy = model_test.predict(titanic_vd.copy(), name="kde")

        assert titanic_copy["kde"].mean() == pytest.approx(
            6.52177350119195e-07, abs=1e-6)
        model_test.drop()
Esempio n. 6
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    def test_drop(self, base):
        model_test = KernelDensity("model_test_drop", cursor=base.cursor)
        model_test.drop()
        model_test.fit(
            "public.titanic",
            [
                "age",
                "fare",
            ],
        )
        base.cursor.execute(
            "SELECT model_name FROM verticapy.models WHERE model_name IN ('model_test_drop', '\"model_test_drop\"')"
        )
        assert base.cursor.fetchone()[0] in ('model_test_drop',
                                             '"model_test_drop"')

        model_test.drop()
        base.cursor.execute(
            "SELECT model_name FROM verticapy.models WHERE model_name IN ('model_test_drop', '\"model_test_drop\"')"
        )
        assert base.cursor.fetchone() is None
Esempio n. 7
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    def test_drop(self):
        model_test = KernelDensity("model_test_drop",)
        model_test.drop()
        model_test.fit("public.titanic", ["age", "fare"])
        current_cursor().execute(
            """SELECT 
                    model_name 
               FROM verticapy.models 
               WHERE model_name IN ('model_test_drop', '\"model_test_drop\"')"""
        )
        assert current_cursor().fetchone()[0] in (
            "model_test_drop",
            '"model_test_drop"',
        )

        model_test.drop()
        current_cursor().execute(
            """SELECT 
                    model_name 
               FROM verticapy.models 
               WHERE model_name IN ('model_test_drop', '\"model_test_drop\"')"""
        )
        assert current_cursor().fetchone() is None