Exemplo n.º 1
0
  def test_parse_type_value_continuous(self):
    template = """
    <PMML xmlns="http://www.dmg.org/PMML-4_3" version="4.3">
      <DataDictionary>
        <DataField name="test" optype="{}" dataType="{}"/>
      </DataDictionary>
    </PMML>"""

    values = ["1234", 1234, 12.34, True]
    types = [
      ['continuous', 'integer', int],
      ['continuous', 'float', float],
      ['continuous', 'double', float],
    ]

    for value in values:
      for type in types:
        optype, pmml_type, data_type = type
        clf = PMMLBaseEstimator(pmml=StringIO(template.format(optype, pmml_type)))

        data_dictionary = clf.find(clf.root, "DataDictionary")
        data_field = clf.find(data_dictionary, "DataField")
        result = clf.parse_type(value, data_field)

        assert isinstance(result, data_type)
Exemplo n.º 2
0
  def test_parse_type_value_continuous_boolean(self):
    template = """
    <PMML xmlns="http://www.dmg.org/PMML-4_3" version="4.3">
      <DataDictionary>
        <DataField name="test" optype="{}" dataType="{}"/>
      </DataDictionary>
    </PMML>"""

    tests = {
      "1": True,
      "True": True,
      "YES": True,
      1: True,
      True: True,
      "0": False,
      "False": False,
      0: False
    }

    for value, expected in tests.items():
      clf = PMMLBaseEstimator(pmml=StringIO(template.format('continuous', 'boolean')))

      data_dictionary = clf.find(clf.root, "DataDictionary")
      data_field = clf.find(data_dictionary, "DataField")
      result = clf.parse_type(value, data_field)

      assert isinstance(result, Boolean)
      assert result == expected
Exemplo n.º 3
0
  def test_parse_type_value_categorical(self):
      template = """
      <PMML xmlns="http://www.dmg.org/PMML-4_3" version="4.3">
        <DataDictionary>
          <DataField name="Class" optype="categorical" dataType="string">
            <Value value="setosa"/>
            <Value value="versicolor"/>
            <Value value="virginica"/>
          </DataField>
        </DataDictionary>
      </PMML>"""

      clf = PMMLBaseEstimator(pmml=StringIO(template))
      data_dictionary = clf.find(clf.root, "DataDictionary")
      data_field = clf.find(data_dictionary, "DataField")

      with self.assertRaises(Exception) as cm: clf.parse_type("not_in_category", data_field)
      assert str(cm.exception) == "Value does not match any category."
      assert clf.parse_type("setosa", data_field) == "setosa"
      assert clf.parse_type("versicolor", data_field) == "versicolor"
      assert clf.parse_type("virginica", data_field) == "virginica"
Exemplo n.º 4
0
  def test_parse_type_interval(self):
    template = """
    <PMML xmlns="http://www.dmg.org/PMML-4_3" version="4.3">
      <DataDictionary>
        <DataField name="test" optype="ordinal" dataType="float">
          <Interval closure="openOpen" rightMargin="1"/>
          <Interval closure="openClosed" leftMargin="1" rightMargin="1.5"/>
          <Interval closure="openOpen" leftMargin="1.5" rightMargin="2.5"/>
          <Interval closure="closedOpen" leftMargin="2.5" rightMargin="3.5"/>
          <Interval closure="closedClosed" leftMargin="3.5" />
        </DataField>
      </DataDictionary>
    </PMML>"""

    clf = PMMLBaseEstimator(pmml=StringIO(template))
    data_dictionary = clf.find(clf.root, "DataDictionary")
    data_field = clf.find(data_dictionary, "DataField")

    assert clf.parse_type(-1, data_field) == Interval(-1, rightMargin=1, closure='openOpen')
    with self.assertRaises(Exception): clf.parse_type(1, data_field)
    assert clf.parse_type(2, data_field) == Interval(2, leftMargin=1.5, rightMargin=2.5, closure='openOpen')
    assert clf.parse_type(2.5, data_field) == Interval(2.5, leftMargin=2.5, rightMargin=3.5, closure='closedOpen')
    assert clf.parse_type(3.5, data_field) == Interval(3.5, leftMargin=3.5, closure='closedClosed')
Exemplo n.º 5
0
  def test_parse_type_value_exception(self):
    template = """
    <PMML xmlns="http://www.dmg.org/PMML-4_3" version="4.3">
      <DataDictionary>
        <DataField name="test" optype="{}" dataType="{}"/>
      </DataDictionary>
    </PMML>"""

    # Test invalid data type
    clf = PMMLBaseEstimator(pmml=StringIO(template.format("continuous", "does_not_exist")))
    data_dictionary = clf.find(clf.root, "DataDictionary")
    data_field = clf.find(data_dictionary, "DataField")

    with self.assertRaises(Exception) as cm: clf.parse_type("test", data_field)
    assert str(cm.exception) == "Unsupported data type."

    # Test invalid operation type
    clf = PMMLBaseEstimator(pmml=StringIO(template.format("does_not_exist", "string")))
    data_dictionary = clf.find(clf.root, "DataDictionary")
    data_field = clf.find(data_dictionary, "DataField")

    with self.assertRaises(Exception) as cm: clf.parse_type("test", data_field)
    assert str(cm.exception) == "Unsupported operation type."