def create_imputer(self, method, *args):
# type: (Method, ...) -> impute.BaseImputeMethod
if method == Method.Model:
if self.learner is not None:
return impute.Model(self.learner)
else:
return impute.Model(self.default_learner)
elif method == Method.AsAboveSoBelow:
assert self.default_method_index != Method.AsAboveSoBelow
default = self.create_imputer(Method(self.default_method_index))
m = AsDefault()
m.method = default
return m
elif method == Method.Default and not args: # global default values
if self.default_numeric == "":
default_num = np.nan
else:
default_num, ok = QLocale().toDouble(self.default_numeric)
if not ok:
default_num = np.nan
return impute.FixedValueByType(default_continuous=default_num,
default_time=self.default_time
or np.nan)
else:
return METHODS[method](*args)
def test_support(self):
table = data.Table.from_file("iris")
continuous = table.domain.variables[0]
discrete = table.domain.variables[-1]
imputer = impute.Model(MajorityLearner())
self.assertTrue(imputer.supports_variable(discrete))
self.assertFalse(imputer.supports_variable(continuous))
imputer = impute.Model(MeanLearner())
self.assertFalse(imputer.supports_variable(discrete))
self.assertTrue(imputer.supports_variable(continuous))
def create_imputer(self, method, *args):
# type: (Method, ...) -> impute.BaseImputeMethod
if method == Method.Model:
if self.learner is not None:
return impute.Model(self.learner)
else:
return impute.Model(self.default_learner)
elif method == Method.AsAboveSoBelow:
assert self.default_method_index != Method.AsAboveSoBelow
default = self.create_imputer(Method(self.default_method_index))
m = AsDefault()
m.method = default
return m
else:
return METHODS[method](*args)
def test_bad_domain(self):
table = data.Table.from_file('iris')
imputer = impute.Model(MajorityLearner())
self.assertRaises(ValueError,
imputer,
data=table,
variable=table.domain[0])
def test_replacement(self):
from Orange.classification import MajorityLearner, SimpleTreeLearner
from Orange.regression import MeanLearner
nan = np.nan
X = [
[1.0, nan, 0.0],
[2.0, 1.0, 3.0],
[nan, nan, nan]
]
unknowns = np.isnan(X)
domain = data.Domain(
(data.DiscreteVariable("A", values=["0", "1", "2"]),
data.ContinuousVariable("B"),
data.ContinuousVariable("C"))
)
table = data.Table.from_numpy(domain, np.array(X))
v = impute.Model(MajorityLearner())(table, domain[0])
self.assertTrue(np.all(np.isfinite(v.compute_value(table))))
self.assertTrue(np.all(v.compute_value(table) == [1., 2., 1.])
or np.all(v.compute_value(table) == [1., 2., 2.]))
v = impute.Model(MeanLearner())(table, domain[1])
self.assertTrue(np.all(np.isfinite(v.compute_value(table))))
self.assertTrue(np.all(v.compute_value(table) == [1., 1., 1.]))
imputer = preprocess.Impute(impute.Model(SimpleTreeLearner()))
itable = imputer(table)
# Original data should keep unknowns
self.assertTrue(np.all(np.isnan(table.X) == unknowns))
self.assertTrue(np.all(itable.X[~unknowns] == table.X[~unknowns]))
Aimp = itable.domain["A"].compute_value
self.assertIsInstance(Aimp, impute.ReplaceUnknownsModel)
col = Aimp(table)
self.assertEqual(col.shape, (len(table),))
self.assertTrue(np.all(np.isfinite(col)))
v = Aimp(table[-1])
self.assertEqual(v.shape, (1,))
self.assertTrue(np.all(np.isfinite(v)))
def create_imputer(self, method, *args):
# type: (Method, ...) -> impute.BaseImputeMethod
if method == Method.Model:
if self.learner is not None:
return impute.Model(self.learner)
else:
return impute.Model(self.default_learner)
elif method == Method.AsAboveSoBelow:
assert self.default_method_index != Method.AsAboveSoBelow
default = self.create_imputer(Method(self.default_method_index))
m = AsDefault()
m.method = default
return m
elif method == Method.Default and not args: # global default values
return impute.FixedValueByType(
default_continuous=self.default_numeric_value,
default_time=self.default_time)
else:
return METHODS[method](*args)
def test_replacement(self):
nan = np.nan
X = [[1.0, nan, 0.0], [2.0, 1.0, 3.0], [nan, nan, nan]]
unknowns = np.isnan(X)
domain = data.Domain(
(data.DiscreteVariable("A", values=("0", "1", "2")),
data.ContinuousVariable("B"), data.ContinuousVariable("C")),
# the class is here to ensure the backmapper in model does not
# run and raise exception
data.DiscreteVariable("Z", values=("P", "M")))
table = data.Table.from_numpy(domain, np.array(X), [
0,
] * 3)
v = impute.Model(MajorityLearner())(table, domain[0])
self.assertTrue(np.all(np.isfinite(v.compute_value(table))))
self.assertTrue(
np.all(v.compute_value(table) == [1., 2., 1.])
or np.all(v.compute_value(table) == [1., 2., 2.]))
v = impute.Model(MeanLearner())(table, domain[1])
self.assertTrue(np.all(np.isfinite(v.compute_value(table))))
self.assertTrue(np.all(v.compute_value(table) == [1., 1., 1.]))
imputer = preprocess.Impute(impute.Model(SimpleTreeLearner()))
itable = imputer(table)
# Original data should keep unknowns
self.assertTrue(np.all(np.isnan(table.X) == unknowns))
self.assertTrue(np.all(itable.X[~unknowns] == table.X[~unknowns]))
Aimp = itable.domain["A"].compute_value
self.assertIsInstance(Aimp, impute.ReplaceUnknownsModel)
col = Aimp(table)
self.assertEqual(col.shape, (len(table), ))
self.assertTrue(np.all(np.isfinite(col)))
v = Aimp(table[-1])
self.assertEqual(v.shape, (1, ))
self.assertTrue(np.all(np.isfinite(v)))
def imputed_vars_for_column(self, column):
state = self.state_for_column(column)
data = self.data
var = data.domain[column]
method, params = state
if method.short == "leave":
return var
elif method.short == "drop":
return var
elif method.short == "avg":
return impute.Average()(data, var)
elif method.short == "model":
learner = (self.learner if self.learner is not None
else Orange.classification.SimpleTreeLearner())
return impute.Model(learner)(data, var)
elif method.short == "random":
return impute.Random()(data, var)
elif method.short == "value":
return impute.Default(float(params[0]))(data, var)
elif method.short == "as_value":
return impute.AsValue()(data, var)
else:
assert False
def test_str(self):
imputer = impute.Model(MajorityLearner())
self.assertIn(MajorityLearner().name,
imputer.format_variable(data.Variable("y")))
def test_copy(self):
imputer = impute.Model(MajorityLearner())
copied = imputer.copy()
imputer.learner = MajorityLearner()
self.assertIsNot(copied.learner, imputer.learner)
class OWImpute(OWWidget):
name = "Impute"
description = "Impute missing values in the data table."
icon = "icons/Impute.svg"
priority = 2130
class Inputs:
data = Input("Data", Orange.data.Table)
learner = Input("Learner", Learner)
class Outputs:
data = Output("Data", Orange.data.Table)
class Error(OWWidget.Error):
imputation_failed = Msg("Imputation failed for '{}'")
model_based_imputer_sparse = Msg("Model based imputer does not work for sparse data")
DEFAULT_LEARNER = SimpleTreeLearner()
METHODS = [AsDefault(), impute.DoNotImpute(), impute.Average(),
impute.AsValue(), impute.Model(DEFAULT_LEARNER), impute.Random(),
impute.DropInstances(), impute.Default()]
DEFAULT, DO_NOT_IMPUTE, MODEL_BASED_IMPUTER, AS_INPUT = 0, 1, 4, 7
settingsHandler = settings.DomainContextHandler()
_default_method_index = settings.Setting(DO_NOT_IMPUTE)
variable_methods = settings.ContextSetting({})
autocommit = settings.Setting(True)
want_main_area = False
resizing_enabled = False
def __init__(self):
super().__init__()
# copy METHODS (some are modified by the widget)
self.methods = copy.deepcopy(OWImpute.METHODS)
main_layout = QVBoxLayout()
main_layout.setContentsMargins(10, 10, 10, 10)
self.controlArea.layout().addLayout(main_layout)
box = QGroupBox(title=self.tr("Default Method"), flat=False)
box_layout = QVBoxLayout(box)
main_layout.addWidget(box)
button_group = QButtonGroup()
button_group.buttonClicked[int].connect(self.set_default_method)
for i, method in enumerate(self.methods):
if not method.columns_only:
button = QRadioButton(method.name)
button.setChecked(i == self.default_method_index)
button_group.addButton(button, i)
box_layout.addWidget(button)
self.default_button_group = button_group
box = QGroupBox(title=self.tr("Individual Attribute Settings"),
flat=False)
main_layout.addWidget(box)
horizontal_layout = QHBoxLayout(box)
main_layout.addWidget(box)
self.varview = QListView(
selectionMode=QListView.ExtendedSelection
)
self.varview.setItemDelegate(DisplayFormatDelegate())
self.varmodel = itemmodels.VariableListModel()
self.varview.setModel(self.varmodel)
self.varview.selectionModel().selectionChanged.connect(
self._on_var_selection_changed
)
self.selection = self.varview.selectionModel()
horizontal_layout.addWidget(self.varview)
method_layout = QVBoxLayout()
horizontal_layout.addLayout(method_layout)
button_group = QButtonGroup()
for i, method in enumerate(self.methods):
button = QRadioButton(text=method.name)
button_group.addButton(button, i)
method_layout.addWidget(button)
self.value_combo = QComboBox(
minimumContentsLength=8,
sizeAdjustPolicy=QComboBox.AdjustToMinimumContentsLength,
activated=self._on_value_selected
)
self.value_double = QDoubleSpinBox(
editingFinished=self._on_value_selected,
minimum=-1000., maximum=1000., singleStep=.1, decimals=3,
)
self.value_stack = value_stack = QStackedWidget()
value_stack.addWidget(self.value_combo)
value_stack.addWidget(self.value_double)
method_layout.addWidget(value_stack)
button_group.buttonClicked[int].connect(
self.set_method_for_current_selection
)
method_layout.addStretch(2)
reset_button = QPushButton(
"Restore All to Default", checked=False, checkable=False,
clicked=self.reset_variable_methods, default=False,
autoDefault=False)
method_layout.addWidget(reset_button)
self.variable_button_group = button_group
box = gui.auto_commit(
self.controlArea, self, "autocommit", "Apply",
orientation=Qt.Horizontal,
checkbox_label="Apply automatically")
box.button.setFixedWidth(180)
box.layout().insertStretch(0)
self.data = None
self.learner = None
self.modified = False
self.default_method = self.methods[self.default_method_index]
self.executor = qconcurrent.ThreadExecutor(self)
self.__task = None
@property
def default_method_index(self):
return self._default_method_index
@default_method_index.setter
def default_method_index(self, index):
if self._default_method_index != index:
self._default_method_index = index
self.default_button_group.button(index).setChecked(True)
self.default_method = self.methods[self.default_method_index]
self.methods[self.DEFAULT].method = self.default_method
# update variable view
for index in map(self.varmodel.index, range(len(self.varmodel))):
method = self.variable_methods.get(
index.row(), self.methods[self.DEFAULT])
self.varmodel.setData(index, method, Qt.UserRole)
self._invalidate()
def set_default_method(self, index):
"""Set the current selected default imputation method.
"""
self.default_method_index = index
@Inputs.data
@check_sql_input
def set_data(self, data):
self.closeContext()
self.varmodel[:] = []
self.variable_methods = {}
self.modified = False
self.data = data
if data is not None:
self.varmodel[:] = data.domain.variables
self.openContext(data.domain)
self.update_varview()
self.unconditional_commit()
@Inputs.learner
def set_learner(self, learner):
self.learner = learner or self.DEFAULT_LEARNER
imputer = self.methods[self.MODEL_BASED_IMPUTER]
imputer.learner = self.learner
button = self.default_button_group.button(self.MODEL_BASED_IMPUTER)
button.setText(imputer.name)
variable_button = self.variable_button_group.button(self.MODEL_BASED_IMPUTER)
variable_button.setText(imputer.name)
if learner is not None:
self.default_method_index = self.MODEL_BASED_IMPUTER
self.update_varview()
self.commit()
def get_method_for_column(self, column_index):
"""Returns the imputation method for column by its index.
"""
if not isinstance(column_index, int):
column_index = column_index.row()
return self.variable_methods.get(column_index,
self.methods[self.DEFAULT])
def _invalidate(self):
self.modified = True
if self.__task is not None:
self.cancel()
self.commit()
def commit(self):
self.cancel()
self.warning()
self.Error.imputation_failed.clear()
self.Error.model_based_imputer_sparse.clear()
if self.data is None or len(self.data) == 0 or len(self.varmodel) == 0:
self.Outputs.data.send(self.data)
self.modified = False
return
data = self.data
impute_state = [
(i, var, self.variable_methods.get(i, self.default_method))
for i, var in enumerate(self.varmodel)
]
def impute_one(method, var, data):
# type: (impute.BaseImputeMethod, Variable, Table) -> Any
if isinstance(method, impute.Model) and data.is_sparse():
raise SparseNotSupported()
elif isinstance(method, impute.DropInstances):
return RowMask(method(data, var))
elif not method.supports_variable(var):
raise VariableNotSupported(var)
else:
return method(data, var)
futures = []
for _, var, method in impute_state:
f = self.executor.submit(
impute_one, copy.deepcopy(method), var, data)
futures.append(f)
w = qconcurrent.FutureSetWatcher(futures)
w.doneAll.connect(self.__commit_finish)
w.progressChanged.connect(self.__progress_changed)
self.__task = Task(futures, w)
self.progressBarInit(processEvents=False)
self.setBlocking(True)
@Slot()
def __commit_finish(self):
assert QThread.currentThread() is self.thread()
assert self.__task is not None
futures = self.__task.futures
assert len(futures) == len(self.varmodel)
assert self.data is not None
self.__task = None
self.setBlocking(False)
self.progressBarFinished()
data = self.data
attributes = []
class_vars = []
drop_mask = np.zeros(len(self.data), bool)
for i, (var, fut) in enumerate(zip(self.varmodel, futures)):
assert fut.done()
newvar = []
try:
res = fut.result()
except SparseNotSupported:
self.Error.model_based_imputer_sparse()
# ?? break
except VariableNotSupported:
self.warning("Default method can not handle '{}'".
format(var.name))
except Exception: # pylint: disable=broad-except
log = logging.getLogger(__name__)
log.info("Error for %s", var, exc_info=True)
self.Error.imputation_failed(var.name)
attributes = class_vars = None
break
else:
if isinstance(res, RowMask):
drop_mask |= res.mask
newvar = var
else:
newvar = res
if isinstance(newvar, Orange.data.Variable):
newvar = [newvar]
if i < len(data.domain.attributes):
attributes.extend(newvar)
else:
class_vars.extend(newvar)
if attributes is None:
data = None
else:
domain = Orange.data.Domain(attributes, class_vars,
data.domain.metas)
try:
data = self.data.from_table(domain, data[~drop_mask])
except Exception: # pylint: disable=broad-except
log = logging.getLogger(__name__)
log.info("Error", exc_info=True)
self.Error.imputation_failed("Unknown")
data = None
self.Outputs.data.send(data)
self.modified = False
@Slot(int, int)
def __progress_changed(self, n, d):
assert QThread.currentThread() is self.thread()
assert self.__task is not None
self.progressBarSet(100. * n / d)
def cancel(self):
if self.__task is not None:
task, self.__task = self.__task, None
task.cancel()
task.watcher.doneAll.disconnect(self.__commit_finish)
task.watcher.progressChanged.disconnect(self.__progress_changed)
concurrent.futures.wait(task.futures)
task.watcher.flush()
self.progressBarFinished()
self.setBlocking(False)
def onDeleteWidget(self):
self.cancel()
super().onDeleteWidget()
def send_report(self):
specific = []
for i, var in enumerate(self.varmodel):
method = self.variable_methods.get(i, None)
if method is not None:
specific.append("{} ({})".format(var.name, str(method)))
default = self.default_method.name
if specific:
self.report_items((
("Default method", default),
("Specific imputers", ", ".join(specific))
))
else:
self.report_items((("Method", default),))
def _on_var_selection_changed(self):
indexes = self.selection.selectedIndexes()
methods = [self.get_method_for_column(i.row()) for i in indexes]
def method_key(method):
"""
Decompose method into its type and parameters.
"""
# The return value should be hashable and __eq__ comparable
if isinstance(method, AsDefault):
return AsDefault, (method.method,)
elif isinstance(method, impute.Model):
return impute.Model, (method.learner,)
elif isinstance(method, impute.Default):
return impute.Default, (method.default,)
else:
return type(method), None
methods = set(method_key(m) for m in methods)
selected_vars = [self.varmodel[index.row()] for index in indexes]
has_discrete = any(var.is_discrete for var in selected_vars)
fixed_value = None
value_stack_enabled = False
current_value_widget = None
if len(methods) == 1:
method_type, parameters = methods.pop()
for i, m in enumerate(self.methods):
if method_type == type(m):
self.variable_button_group.button(i).setChecked(True)
if method_type is impute.Default:
(fixed_value,) = parameters
elif self.variable_button_group.checkedButton() is not None:
# Uncheck the current button
self.variable_button_group.setExclusive(False)
self.variable_button_group.checkedButton().setChecked(False)
self.variable_button_group.setExclusive(True)
assert self.variable_button_group.checkedButton() is None
for method, button in zip(self.methods,
self.variable_button_group.buttons()):
enabled = all(method.supports_variable(var) for var in
selected_vars)
button.setEnabled(enabled)
if not has_discrete:
value_stack_enabled = True
current_value_widget = self.value_double
elif len(selected_vars) == 1:
value_stack_enabled = True
current_value_widget = self.value_combo
self.value_combo.clear()
self.value_combo.addItems(selected_vars[0].values)
else:
value_stack_enabled = False
current_value_widget = None
self.variable_button_group.button(self.AS_INPUT).setEnabled(False)
self.value_stack.setEnabled(value_stack_enabled)
if current_value_widget is not None:
self.value_stack.setCurrentWidget(current_value_widget)
if fixed_value is not None:
if current_value_widget is self.value_combo:
self.value_combo.setCurrentIndex(fixed_value)
elif current_value_widget is self.value_double:
self.value_double.setValue(fixed_value)
else:
assert False
def set_method_for_current_selection(self, method_index):
indexes = self.selection.selectedIndexes()
self.set_method_for_indexes(indexes, method_index)
def set_method_for_indexes(self, indexes, method_index):
if method_index == self.DEFAULT:
for index in indexes:
self.variable_methods.pop(index.row(), None)
elif method_index == OWImpute.AS_INPUT:
current = self.value_stack.currentWidget()
if current is self.value_combo:
value = self.value_combo.currentIndex()
else:
value = self.value_double.value()
for index in indexes:
method = impute.Default(default=value)
self.variable_methods[index.row()] = method
else:
method = self.methods[method_index]
for index in indexes:
self.variable_methods[index.row()] = method
self.update_varview(indexes)
self._invalidate()
def update_varview(self, indexes=None):
if indexes is None:
indexes = map(self.varmodel.index, range(len(self.varmodel)))
for index in indexes:
self.varmodel.setData(index, self.get_method_for_column(index.row()), Qt.UserRole)
def _on_value_selected(self):
# The fixed 'Value' in the widget has been changed by the user.
self.variable_button_group.button(self.AS_INPUT).setChecked(True)
self.set_method_for_current_selection(self.AS_INPUT)
def reset_variable_methods(self):
indexes = list(map(self.varmodel.index, range(len(self.varmodel))))
self.set_method_for_indexes(indexes, self.DEFAULT)
self.variable_button_group.button(self.DEFAULT).setChecked(True)
class OWImpute(OWWidget):
name = "Impute"
description = "Impute missing values in the data table."
icon = "icons/Impute.svg"
priority = 2130
inputs = [("Data", Orange.data.Table, "set_data"),
("Learner", Learner, "set_learner")]
outputs = [("Data", Orange.data.Table)]
DEFAULT_LEARNER = SimpleTreeLearner()
METHODS = [AsDefault(), impute.DoNotImpute(), impute.Average(),
impute.AsValue(), impute.Model(DEFAULT_LEARNER), impute.Random(),
impute.DropInstances(), impute.Default()]
DEFAULT, DO_NOT_IMPUTE, MODEL_BASED_IMPUTER, AS_INPUT = 0, 1, 4, 7
settingsHandler = settings.DomainContextHandler()
_default_method_index = settings.Setting(DO_NOT_IMPUTE)
variable_methods = settings.ContextSetting({})
autocommit = settings.Setting(False)
default_value = settings.Setting(0.)
want_main_area = False
resizing_enabled = False
def __init__(self):
super().__init__()
main_layout = QtGui.QVBoxLayout()
main_layout.setMargin(10)
self.controlArea.layout().addLayout(main_layout)
box = QtGui.QGroupBox(title=self.tr("Default Method"), flat=False)
box_layout = QtGui.QVBoxLayout(box)
main_layout.addWidget(box)
button_group = QtGui.QButtonGroup()
button_group.buttonClicked[int].connect(self.set_default_method)
for i, method in enumerate(self.METHODS):
if not method.columns_only:
button = QtGui.QRadioButton(method.name)
button.setChecked(i == self.default_method_index)
button_group.addButton(button, i)
box_layout.addWidget(button)
self.default_button_group = button_group
box = QtGui.QGroupBox(title=self.tr("Individual Attribute Settings"),
flat=False)
main_layout.addWidget(box)
horizontal_layout = QtGui.QHBoxLayout(box)
main_layout.addWidget(box)
self.varview = QtGui.QListView(
selectionMode=QtGui.QListView.ExtendedSelection
)
self.varview.setItemDelegate(DisplayFormatDelegate())
self.varmodel = itemmodels.VariableListModel()
self.varview.setModel(self.varmodel)
self.varview.selectionModel().selectionChanged.connect(
self._on_var_selection_changed
)
self.selection = self.varview.selectionModel()
horizontal_layout.addWidget(self.varview)
method_layout = QtGui.QVBoxLayout()
horizontal_layout.addLayout(method_layout)
button_group = QtGui.QButtonGroup()
for i, method in enumerate(self.METHODS):
button = QtGui.QRadioButton(text=method.name)
button_group.addButton(button, i)
method_layout.addWidget(button)
self.value_combo = QComboBox(
minimumContentsLength=8,
sizeAdjustPolicy=QComboBox.AdjustToMinimumContentsLength,
activated=self._on_value_selected
)
self.value_combo.currentIndexChanged.connect(self._on_value_changed)
self.value_double = QtGui.QDoubleSpinBox(
editingFinished=self._on_value_selected,
minimum=-1000., maximum=1000., singleStep=.1, decimals=3,
value=self.default_value
)
self.value_stack = value_stack = QtGui.QStackedLayout()
value_stack.addWidget(self.value_combo)
value_stack.addWidget(self.value_double)
method_layout.addLayout(value_stack)
button_group.buttonClicked[int].connect(
self.set_method_for_current_selection
)
method_layout.addStretch(2)
reset_button = QtGui.QPushButton(
"Restore All to Default", checked=False, checkable=False,
clicked=self.reset_variable_methods, default=False,
autoDefault=False)
method_layout.addWidget(reset_button)
self.variable_button_group = button_group
box = gui.auto_commit(
self.controlArea, self, "autocommit", "Apply",
orientation=Qt.Horizontal, checkbox_label="Apply automatically")
box.layout().insertSpacing(0, 80)
box.layout().insertWidget(0, self.report_button)
self.data = None
self.modified = False
self.default_method = self.METHODS[self.default_method_index]
self.update_varview()
@property
def default_method_index(self):
return self._default_method_index
@default_method_index.setter
def default_method_index(self, index):
if self._default_method_index != index:
self._default_method_index = index
self.default_button_group.button(index).setChecked(True)
self.default_method = self.METHODS[self.default_method_index]
self.METHODS[self.DEFAULT].method = self.default_method
# update variable view
for index in map(self.varmodel.index, range(len(self.varmodel))):
self.varmodel.setData(index,
self.variable_methods.get(index.row(), self.METHODS[self.DEFAULT]),
Qt.UserRole)
self._invalidate()
def set_default_method(self, index):
"""Set the current selected default imputation method.
"""
self.default_method_index = index
@check_sql_input
def set_data(self, data):
self.closeContext()
self.varmodel[:] = []
self.variable_methods = {}
self.modified = False
self.data = data
if data is not None:
self.varmodel[:] = data.domain.variables
self.openContext(data.domain)
self.update_varview()
self.unconditional_commit()
def set_learner(self, learner):
self.learner = learner or self.DEFAULT_LEARNER
imputer = self.METHODS[self.MODEL_BASED_IMPUTER]
imputer.learner = self.learner
button = self.default_button_group.button(self.MODEL_BASED_IMPUTER)
button.setText(imputer.name)
variable_button = self.variable_button_group.button(self.MODEL_BASED_IMPUTER)
variable_button.setText(imputer.name)
if learner is not None:
self.default_method_index = self.MODEL_BASED_IMPUTER
self.commit()
def get_method_for_column(self, column_index):
"""Returns the imputation method for column by its index.
"""
if not isinstance(column_index, int):
column_index = column_index.row()
return self.variable_methods.get(column_index,
self.METHODS[self.DEFAULT])
def _invalidate(self):
self.modified = True
self.commit()
def commit(self):
data = self.data
if self.data is not None:
drop_mask = np.zeros(len(self.data), bool)
attributes = []
class_vars = []
self.warning()
with self.progressBar(len(self.varmodel)) as progress:
for i, var in enumerate(self.varmodel):
method = self.variable_methods.get(i, self.default_method)
if not method.supports_variable(var):
self.warning("Default method can not handle '{}'".
format(var.name))
elif isinstance(method, impute.DropInstances):
drop_mask |= method(self.data, var)
else:
var = method(self.data, var)
if isinstance(var, Orange.data.Variable):
var = [var]
if i < len(self.data.domain.attributes):
attributes.extend(var)
else:
class_vars.extend(var)
progress.advance()
domain = Orange.data.Domain(attributes, class_vars,
self.data.domain.metas)
data = self.data.from_table(domain, self.data[~drop_mask])
self.send("Data", data)
self.modified = False
def send_report(self):
specific = []
for i, var in enumerate(self.varmodel):
method = self.variable_methods.get(i, None)
if method is not None:
specific.append("{} ({})".format(var.name, str(method)))
default = self.default_method.name
if specific:
self.report_items((
("Default method", default),
("Specific imputers", ", ".join(specific))
))
else:
self.report_items((("Method", default),))
def _on_var_selection_changed(self):
indexes = self.selection.selectedIndexes()
methods = set(self.get_method_for_column(i.row()).name for i in indexes)
selected_vars = [self.varmodel[index.row()] for index in indexes]
has_discrete = any(var.is_discrete for var in selected_vars)
if len(methods) == 1:
method = methods.pop()
for i, m in enumerate(self.METHODS):
if method == m.name:
self.variable_button_group.button(i).setChecked(True)
elif self.variable_button_group.checkedButton() is not None:
self.variable_button_group.setExclusive(False)
self.variable_button_group.checkedButton().setChecked(False)
self.variable_button_group.setExclusive(True)
for method, button in zip(self.METHODS,
self.variable_button_group.buttons()):
enabled = all(method.supports_variable(var) for var in
selected_vars)
button.setEnabled(enabled)
if not has_discrete:
self.value_stack.setEnabled(True)
self.value_stack.setCurrentWidget(self.value_double)
self._on_value_changed()
elif len(selected_vars) == 1:
self.value_stack.setEnabled(True)
self.value_stack.setCurrentWidget(self.value_combo)
self.value_combo.clear()
self.value_combo.addItems(selected_vars[0].values)
self._on_value_changed()
else:
self.variable_button_group.button(self.AS_INPUT).setEnabled(False)
self.value_stack.setEnabled(False)
def set_method_for_current_selection(self, method_index):
indexes = self.selection.selectedIndexes()
self.set_method_for_indexes(indexes, method_index)
def set_method_for_indexes(self, indexes, method_index):
if method_index == self.DEFAULT:
for index in indexes:
self.variable_methods.pop(index, None)
else:
method = self.METHODS[method_index].copy()
for index in indexes:
self.variable_methods[index.row()] = method
self.update_varview(indexes)
self._invalidate()
def update_varview(self, indexes=None):
if indexes is None:
indexes = map(self.varmodel.index, range(len(self.varmodel)))
for index in indexes:
self.varmodel.setData(index, self.get_method_for_column(index.row()), Qt.UserRole)
def _on_value_selected(self):
self.variable_button_group.button(self.AS_INPUT).setChecked(True)
self._on_value_changed()
def _on_value_changed(self):
widget = self.value_stack.currentWidget()
if widget is self.value_combo:
value = self.value_combo.currentText()
else:
value = self.value_double.value()
self.default_value = value
self.METHODS[self.AS_INPUT].default = value
index = self.variable_button_group.checkedId()
if index == self.AS_INPUT:
self.set_method_for_current_selection(index)
def reset_variable_methods(self):
indexes = map(self.varmodel.index, range(len(self.varmodel)))
self.set_method_for_indexes(indexes, self.DEFAULT)
self.variable_button_group.button(self.DEFAULT).setChecked(True)
