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()
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()
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
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
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