[FIX] Regression Tree Sparse Support#2497
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Related to #2370. |
nikicc
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Jul 26, 2017
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This seems to be working for me.
| datax = datax.toarray() | ||
| mapping, branches = MappedDiscreteNode.branches_from_mapping( | ||
| data.X[:, attr_no], mapping, len(attr.values)) | ||
| datax, mapping, len(attr.values)) |
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Couldn't we use col_x here?
| self.send_signal("Data", table2) | ||
| model_sparse = self.get_output("Model") | ||
| self.assertTrue(np.array_equal(model_dense._code, model_sparse._code)) | ||
| self.assertTrue(np.array_equal(model_dense._thresholds, model_sparse._thresholds)) |
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Why is this removed from test_sparse_data_classification ? Is this not relevant for regression?
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But it didn't fail before for classification, if it was among tests, right?
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Before did not fail since the test did not run properly. Sparse table had never been sent to the widget.
Codecov Report
@@ Coverage Diff @@
## master #2497 +/- ##
==========================================
+ Coverage 74.53% 74.54% +0.01%
==========================================
Files 321 321
Lines 56134 56149 +15
==========================================
+ Hits 41838 41856 +18
+ Misses 14296 14293 -3 |
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Issue
Regression Tree Sparse Support
Description of changes
Includes