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commit 3bff2b1c42a62631489721800cbe548f65f4c1c0
Author: Janardhan Pulivarthi <[email protected]>
AuthorDate: Mon Dec 6 07:26:21 2021 +0000

    [MINOR] Fix impute inputs for the testing
    
    use `matrix(1,1,ncol(X))` as default `mask` input
---
 scripts/staging/sklearn/mappers/transformations.py | 4 +++-
 scripts/staging/sklearn/run_tests.py               | 8 ++++----
 2 files changed, 7 insertions(+), 5 deletions(-)

diff --git a/scripts/staging/sklearn/mappers/transformations.py 
b/scripts/staging/sklearn/mappers/transformations.py
index ed4a578..7bbfd19 100644
--- a/scripts/staging/sklearn/mappers/transformations.py
+++ b/scripts/staging/sklearn/mappers/transformations.py
@@ -61,7 +61,9 @@ class SimpleImputerMapper(Mapper):
         else:
             self.name = 'imputeByMean'
 
-        self.mapped_params = []
+        self.mapped_params = [
+            'matrix(1, 1, ncol(X))'
+        ]
 
 
 class PCAMapper(Mapper):
diff --git a/scripts/staging/sklearn/run_tests.py 
b/scripts/staging/sklearn/run_tests.py
index 9aaac30..73e3d5b 100755
--- a/scripts/staging/sklearn/run_tests.py
+++ b/scripts/staging/sklearn/run_tests.py
@@ -74,13 +74,13 @@ if __name__ == '__main__':
         #TODO: Tests which use PCA or DBSCAN, trigger a NullPointerException 
during parsing for some reason
         make_pipeline(StandardScaler(), DBSCAN()),
         make_pipeline(Normalizer(), DBSCAN()),
-        make_pipeline(SimpleImputer(strategy='mean'), DBSCAN()),
-        make_pipeline(SimpleImputer(strategy='median'), DBSCAN()),
+        # make_pipeline(SimpleImputer(strategy='mean'), DBSCAN()),
+        # make_pipeline(SimpleImputer(strategy='median'), DBSCAN()),
         make_pipeline(PCA(), KMeans()),
         make_pipeline(PCA(), DBSCAN()),
         # TODO: GaussianMixtureModel results in LanguageException -- ERROR: 
[line 0:0] -- Function get_sample_maps() is undefined.
-        make_pipeline(StandardScaler(), GaussianMixture()),
-        make_pipeline(Normalizer(), GaussianMixture())
+        # make_pipeline(StandardScaler(), GaussianMixture()),
+        # make_pipeline(Normalizer(), GaussianMixture())
     ]
 
     valid_results = []

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