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SVM: Better null handling in kernel approximations #30

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SVM: Better null handling in kernel approximations #30

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3 changes: 3 additions & 0 deletions src/ports/postgres/modules/svm/kernel_approximation.py_in
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Expand Up @@ -303,6 +303,7 @@ class PolyKernel(object):
{id_col},
{grouping_col}
from {source_table}
WHERE not {schema_madlib}.array_contains_null({independent_varname})
) q cross join (select {pro.rd_val} from {pro.weights}) as weights
cross join (select {pro.rd_val} from {pro.coefs}) as coefs
cross join (select {pro.rd_val} from {pro.reps}) as reps
Expand Down Expand Up @@ -538,6 +539,7 @@ class GaussianKernel(GaussianKernelBase):
{id_col},
{grouping_col}
from {source_table}
WHERE not {schema_madlib}.array_contains_null({independent_varname})
""".format(**locals())
plpy.execute(run_sql)
source_table = source_with_id
Expand Down Expand Up @@ -688,6 +690,7 @@ class GaussianKernelInMemory(GaussianKernelBase):
{id_col},
{grouping_col}
from {source_table}
WHERE not {schema_madlib}.array_contains_null({independent_varname})
) q
cross join (select {self.rd_val} from {self.rd_weights}) as rw
cross join (select {self.rd_val} from {self.rd_offset}) as ro
Expand Down