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Commitf153615

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PLS: Add loadings output
1 parent1fe223d commitf153615

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2 files changed

+56
-5
lines changed

2 files changed

+56
-5
lines changed

‎Orange/widgets/model/owpls.py‎

Lines changed: 25 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -1,7 +1,8 @@
1-
fromAnyQt.QtCoreimportQt
1+
importnumpyasnp
22
importscipy.sparseassp
3+
fromAnyQt.QtCoreimportQt
34

4-
fromOrange.dataimportTable,Domain
5+
fromOrange.dataimportTable,Domain,ContinuousVariable,StringVariable
56
fromOrange.regressionimportPLSRegressionLearner
67
fromOrange.widgetsimportgui
78
fromOrange.widgets.settingsimportSetting
@@ -24,6 +25,7 @@ class Outputs(OWBaseLearner.Outputs):
2425
coefsdata=Output("Coefficients",Table,explicit=True)
2526
data=Output("Data",Table)
2627
components=Output("Components",Table)
28+
loadings=Output("Loadings",Table)
2729

2830
classWarning(OWBaseLearner.Warning):
2931
sparse_data=Msg(
@@ -49,16 +51,16 @@ def add_main_layout(self):
4951

5052
defupdate_model(self):
5153
super().update_model()
52-
coef_table=None
53-
data=None
54-
components=None
54+
coef_table=data=components=loadings=None
5555
ifself.modelisnotNone:
5656
coef_table=self.model.coefficients_table()
5757
data=self._create_output_data()
5858
components=self.model.components()
59+
loadings=self._create_output_loadings()
5960
self.Outputs.coefsdata.send(coef_table)
6061
self.Outputs.data.send(data)
6162
self.Outputs.components.send(components)
63+
self.Outputs.loadings.send(loadings)
6264

6365
def_create_output_data(self)->Table:
6466
projection=self.model.project(self.data)
@@ -78,6 +80,24 @@ def _create_output_data(self) -> Table:
7880
data.metas[:,-1]=dmodx.X[:,0]
7981
returndata
8082

83+
def_create_output_loadings(self)->Table:
84+
components=self.model.components()
85+
n_comp=len(components)//2
86+
87+
names= [f"Loading{i+1}"foriinrange(n_comp)]
88+
domain=Domain([ContinuousVariable(n)forninnames],
89+
metas=[StringVariable("Feature name")])
90+
91+
rotations=components[n_comp:n_comp*2].X.T
92+
loadings=components[:n_comp].Y.T
93+
X=np.vstack([rotations,loadings])
94+
95+
M=np.array([[v.name]forvincomponents.domain.variables])
96+
97+
table=Table.from_numpy(domain,X,metas=M)
98+
table.name="Loadings"
99+
returntable
100+
81101
@OWBaseLearner.Inputs.data
82102
defset_data(self,data):
83103
# reimplemented completely because the base learner does not

‎Orange/widgets/model/tests/test_owpls.py‎

Lines changed: 31 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -87,6 +87,37 @@ def test_output_components_multi_target(self):
8787
self.assertEqual(components.Y.shape, (4,2))
8888
self.assertEqual(components.metas.shape, (4,1))
8989

90+
deftest_output_loadings(self):
91+
self.send_signal(self.widget.Inputs.data,self._data)
92+
loadings=self.get_output(self.widget.Outputs.loadings)
93+
self.assertEqual(loadings.name,"Loadings")
94+
self.assertEqual(loadings.X.shape, (14,2))
95+
self.assertEqual(loadings.Y.shape, (14,0,))
96+
self.assertEqual(loadings.metas.shape, (14,1))
97+
self.assertEqual(["Loading 1","Loading 2"],
98+
[v.nameforvinloadings.domain.attributes])
99+
self.assertEqual(["Feature name"],
100+
[v.nameforvinloadings.domain.metas])
101+
self.assertAlmostEqual(loadings.X[0,0],0.237,3)
102+
self.assertAlmostEqual(loadings.X[13,0],-0.304,3)
103+
104+
deftest_output_loadings_multi_target(self):
105+
self.send_signal(self.widget.Inputs.data,self._data_multi_target)
106+
loadings=self.get_output(self.widget.Outputs.loadings)
107+
self.assertEqual(loadings.name,"Loadings")
108+
self.assertEqual(loadings.X.shape, (14,2))
109+
self.assertEqual(loadings.Y.shape, (14,0))
110+
self.assertEqual(loadings.metas.shape, (14,1))
111+
self.assertEqual(["Loading 1","Loading 2"],
112+
[v.nameforvinloadings.domain.attributes])
113+
self.assertEqual(["Feature name"],
114+
[v.nameforvinloadings.domain.metas])
115+
metas= [[v.name]forvinself._data_multi_target.domain.variables]
116+
self.assertTrue((loadings.metas==metas).all())
117+
self.assertAlmostEqual(loadings.X[0,0],-0.198,3)
118+
self.assertAlmostEqual(loadings.X[12,0],-0.288,3)
119+
self.assertAlmostEqual(loadings.X[13,0],0.243,3)
120+
90121

91122
if__name__=="__main__":
92123
unittest.main()

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