Python KMeans Examples

Example #1

File: test_base_table_manipulation.py Project: tariksalay/ibmdbpy

 def test_idadb_drop_model_positive(self, idadb, idadf_tmp):
     idadb.add_column_id(idadf_tmp, destructive = True)
     # Create a simple KMEANS model
     kmeans = KMeans(n_clusters = 3)
     kmeans.fit(idadf_tmp)
     assert(idadb.is_model(kmeans.modelname) == 1)
     idadb.drop_model(kmeans.modelname)
     idadb.commit()

Example #2

File: test_base_table_manipulation.py Project: ibmdbanalytics/ibmdbpy

 def test_idadb_drop_model_positive(self, idadb, idadf_tmp):
     idadb.add_column_id(idadf_tmp, destructive = True)
     # Create a simple KMEANS model
     kmeans = KMeans(n_clusters = 3)
     kmeans.fit(idadf_tmp)
     assert(idadb.is_model(kmeans.modelname) == 1)
     idadb.drop_model(kmeans.modelname)
     idadb.commit()

Example #3

File: test_base.py Project: alexmid/ibmdbpy

 def test_idadb_exists_model_positive(self, idadb, idadf_tmp):
     idadb.add_column_id(idadf_tmp, destructive=True)
     # Create a simple KMEANS model
     kmeans = KMeans(n_clusters=3, modelname="MODEL_58979457385")
     kmeans.fit(idadf_tmp)
     assert (idadb.exists_model("MODEL_58979457385") == 1)
     try:
         idadb.drop_model(kmeans.modelname)
     except:
         pass

Example #4

File: test_base.py Project: ibmdbanalytics/ibmdbpy

 def test_idadb_exists_model_positive(self, idadb, idadf_tmp):
     idadb.add_column_id(idadf_tmp, destructive=True)
     # Create a simple KMEANS model
     kmeans = KMeans(n_clusters=3, modelname="MODEL_58979457385")
     kmeans.fit(idadf_tmp)
     assert idadb.exists_model("MODEL_58979457385") == 1
     try:
         idadb.drop_model(kmeans.modelname)
     except:
         pass

Example #5

File: test_base.py Project: alexmid/ibmdbpy

 def test_idadb_exists_model_with_schema_positive_mixed_case(
         self, idadb, idadf_tmp):
     idadb.add_column_id(idadf_tmp, destructive=True)
     # Create a simple KMEANS model
     kmeans = KMeans(n_clusters=3, modelname="mySchema.Model_85584573979")
     kmeans.fit(idadf_tmp)
     assert (idadb.exists_model("mySchema.Model_85584573979") == 1)
     assert (idadb.exists_model("MYSCHEMA.MODEL_85584573979") == 1)
     assert (idadb.exists_model("myschema.model_85584573979") == 1)
     try:
         idadb.drop_model(kmeans.modelname)
     except:
         pass