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/dports/math/pspp/pspp-1.4.1/src/data/
H A Dmissing-values.h47 struct missing_values
74 void mv_init (struct missing_values *, int width);
76 void mv_destroy (struct missing_values *);
77 void mv_copy (struct missing_values *, const struct missing_values *);
78 void mv_clear (struct missing_values *);
86 bool mv_is_empty (const struct missing_values *);
87 int mv_get_width (const struct missing_values *);
90 int mv_n_values (const struct missing_values *);
91 bool mv_has_value (const struct missing_values *);
95 bool mv_has_range (const struct missing_values *);
[all …]
H A Dmissing-values.c48 mv_init (struct missing_values *mv, int width) in mv_init()
77 mv_destroy (struct missing_values *mv) in mv_destroy()
90 mv_clear (struct missing_values *mv) in mv_clear()
97 mv_copy (struct missing_values *mv, const struct missing_values *src) in mv_copy()
125 mv_is_empty (const struct missing_values *mv) in mv_is_empty()
133 mv_get_width (const struct missing_values *mv) in mv_get_width()
192 mv_add_num (struct missing_values *mv, double d) in mv_add_num()
227 mv_has_value (const struct missing_values *mv) in mv_has_value()
290 mv_n_values (const struct missing_values *mv) in mv_n_values()
299 mv_has_range (const struct missing_values *mv) in mv_has_range()
[all …]
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/impute/
H A D_base.py22 def _check_inputs_dtype(X, missing_values): argument
75 self.missing_values = missing_values
82 missing_values=self.missing_values, error_on_new=False
228 missing_values=np.nan, argument
235 super().__init__(missing_values=missing_values, add_indicator=add_indicator)
264 if not is_scalar_nan(self.missing_values):
289 _check_inputs_dtype(X, self.missing_values)
346 if self.missing_values == 0:
503 if self.missing_values == 0:
686 missing_values=np.nan, argument
[all …]
H A D_knn.py120 missing_values=np.nan, argument
127 super().__init__(missing_values=missing_values, add_indicator=add_indicator)
198 if not is_scalar_nan(self.missing_values):
219 self._mask_fit_X = _get_mask(self._fit_X, self.missing_values)
241 if not is_scalar_nan(self.missing_values):
254 mask = _get_mask(X, self.missing_values)
332 missing_values=self.missing_values,
H A D_iterative.py227 missing_values=np.nan, argument
241 super().__init__(missing_values=missing_values, add_indicator=add_indicator)
509 if is_scalar_nan(self.missing_values):
521 _check_inputs_dtype(X, self.missing_values)
523 X_missing_mask = _get_mask(X, self.missing_values)
527 missing_values=self.missing_values, strategy=self.initial_strategy
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/impute/tests/
H A Dtest_knn.py43 KNNImputer(missing_values=na).fit(X)
67 imputer = KNNImputer(missing_values=na).fit(X_fit)
115 knn = KNNImputer(missing_values=na, n_neighbors=2).fit(X)
193 imputer = KNNImputer(missing_values=na)
225 imputer = KNNImputer(missing_values=na)
236 imputer = KNNImputer(missing_values=na)
247 imputer = KNNImputer(n_neighbors=1, missing_values=na)
366 dist = nan_euclidean_distances(X, missing_values=na)
506 imputer_comp = KNNImputer(missing_values=na)
528 knn = KNNImputer(missing_values=na, n_neighbors=1)
[all …]
H A Dtest_impute.py42 missing_values,
51 imputer = SimpleImputer(missing_values=missing_values, strategy=strategy)
57 imputer = SimpleImputer(missing_values=missing_values, strategy=strategy)
478 ("imputer", SimpleImputer(missing_values=missing_values)),
1122 X_fit = np.array([[missing_values, missing_values, 1], [4, 2, missing_values]])
1123 X_trans = np.array([[missing_values, missing_values, 1], [4, 12, 10]])
1176 missing_values = 0
1177 X_fit = np.array([[missing_values, missing_values, 1], [4, missing_values, 2]])
1184 indicator = MissingIndicator(missing_values=missing_values)
1208 X_fit = np.array([[missing_values, missing_values, 1], [4, missing_values, 2]])
[all …]
H A Dtest_common.py54 imputer.set_params(missing_values=marker, add_indicator=True)
86 imputer.set_params(missing_values=marker, add_indicator=True)
105 imputer = imputer.set_params(add_indicator=add_indicator, missing_values=marker)
/dports/math/py-numpy/numpy-1.20.3/numpy/lib/
H A D_iotools.py659 if missing_values is None:
660 self.missing_values = {''}
662 if isinstance(missing_values, str):
663 missing_values = missing_values.split(",")
664 self.missing_values = set(list(missing_values) + [''])
766 missing_values='', locked=False): argument
811 if missing_values is None:
814 self.missing_values = set()
816 if not np.iterable(missing_values):
817 missing_values = [missing_values]
[all …]
H A Dnpyio.py1753 converters=converters, missing_values=missing_values,
1888 user_missing_values = missing_values or ()
1893 missing_values = [list(['']) for _ in range(nbcols)]
1921 for miss in missing_values:
1924 missing_values[key].extend(val)
1934 for entry in missing_values:
1938 for entry in missing_values:
1994 zipit = zip(missing_values, filling_values)
2036 missing_values=missing_values[i],)
2263 missing_values = [conv(_) for _ in conv.missing_values
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/dports/science/py-netCDF4/netcdf4-python-1.5.7rel/test/
H A Dtst_compoundatt.py38 v.missing_values = missvals
40 vv.missing_values = missvals
54 assert_array_almost_equal(v.missing_values['speed'], missvals['speed'])
55 assert_array_almost_equal(v.missing_values['direction'],\
57 assert_array_almost_equal(vv.missing_values['speed'], missvals['speed'])
58 assert_array_almost_equal(vv.missing_values['direction'],\
/dports/www/py-bokeh/bokeh-2.3.3/bokeh/models/
H A Drenderers.py157 missing_values = set()
164 missing_values.add((item['field'], name))
165 if missing_values:
167 … get_close_matches(term[0], self.data_source.column_names, n=1) for term in missing_values]]
168 … missing_values = [("".join([m[0], s]), m[1]) for m, s in zip(missing_values, suggestions)]
169 missing = ['key "%s" value "%s' % (k, v) for v, k in missing_values]
/dports/databases/py-tableschema/tableschema-1.20.2/tableschema/
H A Dschema.py94 def missing_values(self): member in Schema
350 … missing_values = self.__current_descriptor.get('missingValues', config.DEFAULT_MISSING_VALUES)
351 guesser = guesser_cls() if guesser_cls else _TypeGuesser(missing_values)
353 descriptor = {'fields': [], 'missingValues': missing_values}
473 missing_values = self.__current_descriptor['missingValues']
475 field = Field(field, missing_values=missing_values, schema=self)
568 def __init__(self, missing_values): argument
569 self.missing_values = missing_values
574 if value not in self.missing_values:
H A Dinfer.py16 missing_values=config.DEFAULT_MISSING_VALUES, argument
47 missing_values=missing_values, guesser_cls=guesser_cls,
/dports/net/google-cloud-sdk/google-cloud-sdk/lib/surface/org_policies/
H A Dallow.py146 missing_values = self._GetMissingAllowedValuesFromRules(
148 if not missing_values:
170 rule_to_update.values.allowedValues += list(missing_values)
213 missing_values = collections.OrderedDict.fromkeys(
215 return list(missing_values)
H A Ddeny.py145 missing_values = self._GetMissingDeniedValuesFromRules(
147 if not missing_values:
166 rule_to_update.values.deniedValues += list(missing_values)
209 missing_values = collections.OrderedDict.fromkeys(
211 return list(missing_values)
/dports/devel/py-frictionless/frictionless-4.18.2/frictionless/
H A Dfield.py51 missing_values=None, argument
69 self.setinitial("missingValues", missing_values)
156 def missing_values(self): member in Field
163 schema.missing_values if schema else copy(settings.DEFAULT_MISSING_VALUES)
165 missing_values = self.get("missingValues", default)
166 return self.metadata_attach("missingValues", missing_values)
322 if cell in self.missing_values:
428 if self.missing_values:
429 return self.missing_values[0]
H A Dschema.py42 missing_values=None, argument
47 self.setinitial("missingValues", missing_values)
53 def missing_values(self): member in Schema
58 missing_values = self.get("missingValues", copy(settings.DEFAULT_MISSING_VALUES))
59 return self.metadata_attach("missingValues", missing_values)
182 self.setdefault("missingValues", self.missing_values)
/dports/math/pspp/pspp-1.4.1/src/ui/gui/
H A Dmissing-val-dialog.h45 struct missing_values mvl;
71 const struct missing_values *psppire_missing_val_dialog_get_missing_values (
76 struct missing_values *);
/dports/www/chromium-legacy/chromium-88.0.4324.182/third_party/catapult/dashboard/dashboard/pinpoint/models/
H A Djob_bug_update.py165 missing_values = self._DifferencesWithNoValues()
178 if missing_values:
189 missing_values=missing_values,
191 elif missing_values:
196 missing_values=missing_values,
/dports/math/py-pymc3/pymc-3.11.4/pymc3/
H A Dmodel.py917 self.missing_values = treelist(parent=self.parent.missing_values)
1170 if var.missing_values:
1172 self.missing_values += var.missing_values
1185 if var.missing_values:
1187 self.missing_values.append(var.missing_values)
1188 self.named_vars[var.missing_values.name] = var.missing_values
1769 dataTensor.missing_values = missing_values
1773 data.missing_values = None
1777 data.missing_values = None
1827 self.missing_values = data.missing_values
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/dports/www/chromium-legacy/chromium-88.0.4324.182/third_party/catapult/dashboard/dashboard/pinpoint/models/templates/
H A Ddifferences_found.j243 {% if missing_values|length > 0 -%}
46 measured while bisecting. Here's a list of {{missing_values[:3]|length}}:
47 {% for diff in missing_values[:3] -%}
/dports/math/py-pymc3/pymc-3.11.4/pymc3/tests/
H A Dtest_missing.py31 (y_missing,) = model.missing_values
48 (y_missing,) = model.missing_values
66 (y_missing,) = model.missing_values
/dports/math/py-numpy/numpy-1.20.3/numpy/lib/tests/
H A Dtest__iotools.py189 converter = StringConverter(missing_values=('missing',
226 converter = StringConverter(None, missing_values='',
233 None, missing_values='', default=0)
241 missing_values="N/A")
247 missing_values="N/A")
249 converter.missing_values, {'', 'N/A'})
/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/impute/
H A Dplot_missing_values.py159 missing_values=np.nan, add_indicator=True, strategy="constant", fill_value=0
183 imputer = KNNImputer(missing_values=np.nan, add_indicator=True)
204 imputer = SimpleImputer(missing_values=np.nan, strategy="mean", add_indicator=True)
231 missing_values=np.nan,

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