def set_info(self):
if self.data is not None:
self.info_summary.setText('<b>%s</b> contains %s with %s' % (
self.data.name,
plural('{number} instance{s}', self.model.n_instances),
plural('{number} feature{s}', self.model.n_attributes)
))
self.info_attr.setText(
'<b>Attributes:</b><br>%s' %
self._format_variables_string(self.data.domain.attributes)
)
self.info_class.setText(
'<b>Class variables:</b><br>%s' %
self._format_variables_string(self.data.domain.class_vars)
)
self.info_meta.setText(
'<b>Metas:</b><br>%s' %
self._format_variables_string(self.data.domain.metas)
)
else:
self.info_summary.setText('No data on input.')
self.info_attr.setText('')
self.info_class.setText('')
self.info_meta.setText('')
def _format_variables_string(self, variables):
agg = []
for var_type_name, var_type in [
('categorical', DiscreteVariable),
('numeric', ContinuousVariable),
('time', TimeVariable),
('string', StringVariable)
]:
var_type_list = [v for v in variables if type(v) is var_type]
if var_type_list:
shown = var_type in self.model.HIDDEN_VAR_TYPES
agg.append((
'%d %s%s' % (len(var_type_list), var_type_name, ['', ' (not shown)'][shown]),
len(var_type_list)
))
if not agg:
return 'No variables'
attrs, counts = list(zip(*agg))
if len(attrs) > 1:
var_string = ', '.join(attrs[:-1]) + ' and ' + attrs[-1]
else:
var_string = attrs[0]
return plural('%s variable{s}' % var_string, sum(counts))
def send_report(self):
items = OrderedDict()
for feature in self.featuremodel:
if isinstance(feature, DiscreteDescriptor):
items[feature.name] = "{} (discrete with values {}{})".format(
feature.expression, feature.values,
"; ordered" * feature.ordered)
elif isinstance(feature, ContinuousDescriptor):
items[feature.name] = "{} (numeric)".format(feature.expression)
else:
items[feature.name] = "{} (text)".format(feature.expression)
self.report_items(
report.plural("Constructed feature{s}", len(items)), items)
def send_report(self):
items = OrderedDict()
for feature in self.featuremodel:
if isinstance(feature, DiscreteDescriptor):
items[feature.name] = "{} (categorical with values {}{})".format(
feature.expression, feature.values,
"; ordered" * feature.ordered)
elif isinstance(feature, ContinuousDescriptor):
items[feature.name] = "{} (numeric)".format(feature.expression)
else:
items[feature.name] = "{} (text)".format(feature.expression)
self.report_items(
report.plural("Constructed feature{s}", len(items)), items)
def _format_variables_string(variables):
agg = []
for var_type_name, var_type in [
('categorical', DiscreteVariable),
('numeric', ContinuousVariable),
('time', TimeVariable),
('string', StringVariable)
]:
var_type_list = [v for v in variables if isinstance(v, var_type)]
if var_type_list:
agg.append((
'%d %s' % (len(var_type_list), var_type_name),
len(var_type_list)
))
if not agg:
return 'No variables'
attrs, counts = list(zip(*agg))
if len(attrs) > 1:
var_string = ', '.join(attrs[:-1]) + ' and ' + attrs[-1]
else:
var_string = attrs[0]
return plural('%s variable{s}' % var_string, sum(counts))
def data(self, data):
def n_or_none(i):
return i or "(none)"
def count(s, tpe):
return sum(isinstance(x, tpe) for x in s)
def count_n(s, tpe):
return n_or_none(count(s, tpe))
def pack_table(data):
return "<table>\n" + "\n".join(
'<tr><td align="right" width="90">%s:</td>\n'
'<td width="40">%s</td></tr>\n' % dv for dv in data
) + "</table>\n"
if data is None:
self.data_set_size = "No data"
self.features = self.targets = self.meta_attributes = "None"
self.location = ""
self.data_desc = None
return
sparses = [s for s, m in (("features", data.X_density),
("meta attributes", data.metas_density),
("targets", data.Y_density)) if m() > 1]
if sparses:
sparses = "<p>Sparse representation: %s</p>" % ", ".join(sparses)
else:
sparses = ""
domain = data.domain
self.data_set_size = pack_table((
("Rows", '~{}'.format(data.approx_len())),
("Variables", len(domain)))) + sparses
def update_size():
self.data_set_size = pack_table((
("Rows", len(data)),
("Variables", len(domain)))) + sparses
threading.Thread(target=update_size).start()
if not domain.attributes:
self.features = "None"
else:
disc_features = count(domain.attributes, DiscreteVariable)
cont_features = count(domain.attributes, ContinuousVariable)
self.features = pack_table((
("Discrete", n_or_none(disc_features)),
("Numeric", n_or_none(cont_features))
))
if not domain.metas:
self.meta_attributes = "None"
else:
disc_metas = count(domain.metas, DiscreteVariable)
cont_metas = count(domain.metas, ContinuousVariable)
str_metas = count(domain.metas, StringVariable)
self.meta_attributes = pack_table((
("Discrete", n_or_none(disc_metas)),
("Numeric", n_or_none(cont_metas)),
("Textual", n_or_none(str_metas))))
class_var = domain.class_var
if class_var:
if class_var.is_continuous:
self.targets = "Numeric target variable"
else:
self.targets = "Discrete outcome with %i values" % \
len(class_var.values)
elif domain.class_vars:
disc_class = count(domain.class_vars, DiscreteVariable)
cont_class = count(domain.class_vars, ContinuousVariable)
if not cont_class:
self.targets = "Multitarget data,\n%i discrete targets" % \
n_or_none(disc_class)
elif not disc_class:
self.targets = "Multitarget data,\n%i numeric targets" % \
n_or_none(cont_class)
else:
self.targets = "<p>Multi target data</p>\n" + pack_table(
(("Discrete", disc_class), ("Numeric", cont_class)))
self.data_desc = dd = OrderedDict()
if SqlTable is not None and isinstance(data, SqlTable):
connection_string = ' '.join(
'%s=%s' % (key, value)
for key, value in data.connection_params.items()
if value is not None and key != 'password')
self.location = "Table '%s', using connection:\n%s" % (
data.table_name, connection_string)
dd["Rows"] = data.approx_len()
else:
self.location = "Data is stored in memory"
dd["Rows"] = len(data)
def join_if(items):
return ", ".join(s.format(n) for s, n in items if n)
dd["Features"] = len(domain.attributes) and join_if((
("{} discrete", disc_features),
("{} numeric", cont_features)
))
if domain.class_var:
name = domain.class_var.name
if domain.class_var.is_discrete:
dd["Target"] = "discrete outcome '{}'".format(name)
else:
dd["Target"] = "numeric target '{}'".format(name)
elif domain.class_vars:
tt = ""
if disc_class:
tt += report.plural("{number} discrete outcome{s}", disc_class)
if cont_class:
tt += report.plural("{number} numeric target{s}", cont_class)
dd["Meta attributes"] = len(domain.metas) > 0 and join_if((
("{} discrete", disc_metas),
("{} numeric", cont_metas),
("{} textual", str_metas)
))
def data(self, data):
def n_or_none(i):
return i or "(none)"
def count(s, tpe):
return sum(isinstance(x, tpe) for x in s)
def count_n(s, tpe):
return n_or_none(count(s, tpe))
def pack_table(data):
return "<table>\n" + "\n".join(
'<tr><td align="right" width="90">%s:</td>\n'
'<td width="40">%s</td></tr>\n' % dv
for dv in data) + "</table>\n"
if data is None:
self.data_set_size = "No data"
self.features = self.targets = self.meta_attributes = "None"
self.location = ""
self.data_desc = None
return
sparses = [
s for s, m in (("features", data.X_density), ("meta attributes",
data.metas_density),
("targets", data.Y_density)) if m() > 1
]
if sparses:
sparses = "<p>Sparse representation: %s</p>" % ", ".join(sparses)
else:
sparses = ""
domain = data.domain
self.data_set_size = pack_table(
(("Rows", '~{}'.format(data.approx_len())),
("Variables", len(domain)))) + sparses
def update_size():
self.data_set_size = pack_table(
(("Rows", len(data)), ("Variables", len(domain)))) + sparses
threading.Thread(target=update_size).start()
if not domain.attributes:
self.features = "None"
else:
disc_features = count(domain.attributes, DiscreteVariable)
cont_features = count(domain.attributes, ContinuousVariable)
self.features = pack_table((("Discrete", n_or_none(disc_features)),
("Numeric", n_or_none(cont_features))))
if not domain.metas:
self.meta_attributes = "None"
else:
disc_metas = count(domain.metas, DiscreteVariable)
cont_metas = count(domain.metas, ContinuousVariable)
str_metas = count(domain.metas, StringVariable)
self.meta_attributes = pack_table(
(("Discrete", n_or_none(disc_metas)),
("Numeric", n_or_none(cont_metas)), ("Textual",
n_or_none(str_metas))))
class_var = domain.class_var
if class_var:
if class_var.is_continuous:
self.targets = "Numeric target variable"
else:
self.targets = "Discrete outcome with %i values" % \
len(class_var.values)
elif domain.class_vars:
disc_class = count(domain.class_vars, DiscreteVariable)
cont_class = count(domain.class_vars, ContinuousVariable)
if not cont_class:
self.targets = "Multitarget data,\n%i discrete targets" % \
n_or_none(disc_class)
elif not disc_class:
self.targets = "Multitarget data,\n%i numeric targets" % \
n_or_none(cont_class)
else:
self.targets = "<p>Multi target data</p>\n" + pack_table(
(("Discrete", disc_class), ("Numeric", cont_class)))
self.data_desc = dd = OrderedDict()
if SqlTable is not None and isinstance(data, SqlTable):
connection_string = ' '.join(
'%s=%s' % (key, value)
for key, value in data.connection_params.items()
if value is not None and key != 'password')
self.location = "Table '%s', using connection:\n%s" % (
data.table_name, connection_string)
dd["Rows"] = data.approx_len()
else:
self.location = "Data is stored in memory"
dd["Rows"] = len(data)
def join_if(items):
return ", ".join(s.format(n) for s, n in items if n)
dd["Features"] = len(domain.attributes) and join_if(
(("{} discrete", disc_features), ("{} numeric", cont_features)))
if domain.class_var:
name = domain.class_var.name
if domain.class_var.is_discrete:
dd["Target"] = "discrete outcome '{}'".format(name)
else:
dd["Target"] = "numeric target '{}'".format(name)
elif domain.class_vars:
tt = ""
if disc_class:
tt += report.plural("{number} discrete outcome{s}", disc_class)
if cont_class:
tt += report.plural("{number} numeric target{s}", cont_class)
dd["Meta attributes"] = len(domain.metas) > 0 and join_if(
(("{} discrete", disc_metas), ("{} numeric", cont_metas),
("{} textual", str_metas)))
