diff --git a/methods/k-means/src/pg_gp/kmeans_create.sql_in b/methods/k-means/src/pg_gp/kmeans_create.sql_in
index 648e8ff4b..8ce1bafc2 100644
--- a/methods/k-means/src/pg_gp/kmeans_create.sql_in
+++ b/methods/k-means/src/pg_gp/kmeans_create.sql_in
@@ -234,12 +234,15 @@ CREATE AGGREGATE MADLIB_SCHEMA.__kmeans_meanPosition( MADLIB_SCHEMA.SVEC )
 CREATE OR REPLACE FUNCTION MADLIB_SCHEMA.kmeans_run( input_table text, k int, goodness int, run_id text, output_table text)
   RETURNS text
 AS $$
-
-  from madlib import kmeans
-
-  plpy.execute( 'set client_min_messages=warning');
-  return kmeans.kmeans_run( input_table, k, goodness, run_id, output_table);
- 
+    import sys
+    try:
+        from madlib import kmeans
+    except:
+        sys.path.append("PLPYTHON_LIBDIR")
+        from madlib import kmeans
+    
+    plpy.execute( 'set client_min_messages=warning');
+    return kmeans.kmeans_run( input_table, k, goodness, run_id, output_table);
 $$ LANGUAGE plpythonu;
 
-COMMIT;
\ No newline at end of file
+COMMIT;
diff --git a/methods/profile/src/pg_gp/profile_create.sql_in b/methods/profile/src/pg_gp/profile_create.sql_in
index 3cddbc77d..7c9583357 100644
--- a/methods/profile/src/pg_gp/profile_create.sql_in
+++ b/methods/profile/src/pg_gp/profile_create.sql_in
@@ -79,10 +79,13 @@ seems to be present as of version 2.3.2.  The simple workaround is to use
 CREATE OR REPLACE FUNCTION MADLIB_SCHEMA.profile_run( input_table text)
   RETURNS text
 AS $$
-
-  from madlib import profile
-
-  plpy.execute( 'set client_min_messages=warning');
-  return profile.profile_run( input_table);
- 
-$$ LANGUAGE plpythonu;
\ No newline at end of file
+    import sys
+    try:
+        from madlib import profile
+    except:
+        sys.path.append("PLPYTHON_LIBDIR")
+        from madlib import profile
+
+    plpy.execute( 'set client_min_messages=warning');
+    return profile.profile_run( input_table);
+$$ LANGUAGE plpythonu;
diff --git a/methods/regress/src/pg_gp/logRegress.py_in b/methods/regress/src/pg_gp/logRegress.py_in
index 29ea5d523..09e6cf100 100644
--- a/methods/regress/src/pg_gp/logRegress.py_in
+++ b/methods/regress/src/pg_gp/logRegress.py_in
@@ -227,7 +227,7 @@ def compute_logregr_coef(**kwargs):
            in the log-likelihood of less than <tt>precision</tt>. In other
            words, we terminate if the objective function value has converged.
            If this parameter is 0.0, then the algorithm will not check for
-           convergence and only terminate after <tt><em>numIterations</em></tt>
+           convergence and only terminate after <tt>numIterations</tt>
            iterations.
     
     @return array with coefficients in case of convergence, otherwise None
diff --git a/methods/regress/src/pg_gp/regression.sql_in b/methods/regress/src/pg_gp/regression.sql_in
index 3a931e68d..b4e709109 100644
--- a/methods/regress/src/pg_gp/regression.sql_in
+++ b/methods/regress/src/pg_gp/regression.sql_in
@@ -501,7 +501,13 @@ CREATE FUNCTION MADLIB_SCHEMA.logregr_coef(
 	"depColumn" VARCHAR,
 	"indepColumn" VARCHAR)
 RETURNS DOUBLE PRECISION[] AS $$
-	from madlib import logRegress
+    import sys
+    try:
+        ifdef(<nom4>DEBUG</nom4>,,<nom4>from madlib </nom4>)import logRegress
+    except:
+        sys.path.append("PLPYTHON_LIBDIR")
+        ifdef(<nom4>DEBUG</nom4>,,<nom4>from madlib </nom4>)import logRegress
+
 	return logRegress.compute_logregr_coef(**globals())
 $$ LANGUAGE plpythonu VOLATILE;
 
@@ -511,7 +517,13 @@ CREATE FUNCTION MADLIB_SCHEMA.logregr_coef(
 	"indepColumn" VARCHAR,
 	"numIterations" INTEGER)
 RETURNS DOUBLE PRECISION[] AS $$
-	from madlib import logRegress
+    import sys
+    try:
+        ifdef(<nom4>DEBUG</nom4>,,<nom4>from madlib </nom4>)import logRegress
+    except:
+        sys.path.append("PLPYTHON_LIBDIR")
+        ifdef(<nom4>DEBUG</nom4>,,<nom4>from madlib </nom4>)import logRegress
+
 	return logRegress.compute_logregr_coef(**globals())
 $$ LANGUAGE plpythonu VOLATILE;
 
@@ -522,7 +534,13 @@ CREATE FUNCTION MADLIB_SCHEMA.logregr_coef(
 	"numIterations" INTEGER,
 	"optimizer" VARCHAR)
 RETURNS DOUBLE PRECISION[] AS $$
-	from madlib import logRegress
+    import sys
+    try:
+        ifdef(<nom4>DEBUG</nom4>,,<nom4>from madlib </nom4>)import logRegress
+    except:
+        sys.path.append("PLPYTHON_LIBDIR")
+        ifdef(<nom4>DEBUG</nom4>,,<nom4>from madlib </nom4>)import logRegress
+
 	return logRegress.compute_logregr_coef(**globals())
 $$ LANGUAGE plpythonu VOLATILE;
 
@@ -553,7 +571,8 @@ $$ LANGUAGE plpythonu VOLATILE;
  *     0.001);</tt>
  *
  * @internal
- * @sa This function is a wrapper for logRegress::compute_logregr_coef().
+ * @sa This function is a wrapper for logRegress::compute_logregr_coef(), which
+ *     sets the default values.
  */
 CREATE FUNCTION MADLIB_SCHEMA.logregr_coef(
 	"source" VARCHAR,
@@ -563,7 +582,13 @@ CREATE FUNCTION MADLIB_SCHEMA.logregr_coef(
 	"optimizer" VARCHAR /*+ DEFAULT 'irls' */,
 	"precision" DOUBLE PRECISION /*+ DEFAULT 0.0001 */)
 RETURNS DOUBLE PRECISION[] AS $$
-	from madlib import logRegress
+    import sys
+    try:
+        ifdef(<nom4>DEBUG</nom4>,,<nom4>from madlib </nom4>)import logRegress
+    except:
+        sys.path.append("PLPYTHON_LIBDIR")
+        ifdef(<nom4>DEBUG</nom4>,,<nom4>from madlib </nom4>)import logRegress
+
 	return logRegress.compute_logregr_coef(**globals())
 $$ LANGUAGE plpythonu VOLATILE;
 
diff --git a/methods/svd-mf/src/pg_gp/svdmf_create.sql_in b/methods/svd-mf/src/pg_gp/svdmf_create.sql_in
index 20c8705bb..509232671 100644
--- a/methods/svd-mf/src/pg_gp/svdmf_create.sql_in
+++ b/methods/svd-mf/src/pg_gp/svdmf_create.sql_in
@@ -127,10 +127,13 @@ CREATE OR REPLACE FUNCTION MADLIB_SCHEMA.svdmf_run(
 )
 RETURNS TEXT
 AS $$
-
-  from madlib import svdmf
-
-  plpy.execute( 'set client_min_messages=warning');
-  return svdmf.svdmf_run( input_table, col_name, row_name, value, num_features);
- 
+    import sys
+    try:
+        from madlib import svdmf
+    except:
+        sys.path.append("PLPYTHON_LIBDIR")
+        from madlib import svdmf
+
+    plpy.execute( 'set client_min_messages=warning');
+    return svdmf.svdmf_run( input_table, col_name, row_name, value, num_features);
 $$ LANGUAGE plpythonu;