diff --git a/python/cuML/dbscan/dbscan_wrapper.pyx b/python/cuML/dbscan/dbscan_wrapper.pyx
index d3718ac8ec..3d9cedb3a9 100644
--- a/python/cuML/dbscan/dbscan_wrapper.pyx
+++ b/python/cuML/dbscan/dbscan_wrapper.pyx
@@ -116,6 +116,7 @@ class DBSCAN:
                                <int> self.min_samples,
 		                       <int*> labels_ptr)
         del(X_m)
+        return self
 
     def fit_predict(self, X):
         """
diff --git a/python/cuML/kmeans/kmeans_wrapper.pyx b/python/cuML/kmeans/kmeans_wrapper.pyx
index b6097a3d91..d2f7b2953b 100644
--- a/python/cuML/kmeans/kmeans_wrapper.pyx
+++ b/python/cuML/kmeans/kmeans_wrapper.pyx
@@ -134,8 +134,6 @@ class KMeans:
         """
 
         self.gdf_datatype = np.dtype(X[X.columns[0]]._column.dtype)
-        self.n_rows = len(X)
-        self.n_cols = len(X._cols)
 
         cdef uintptr_t input_ptr
         if (isinstance(X, cudf.DataFrame)):
@@ -235,8 +233,6 @@ class KMeans:
 
         """
         self.gdf_datatype = np.dtype(X[X.columns[0]]._column.dtype)
-        self.n_rows = len(X)
-        self.n_cols = len(X._cols)
 
         cdef uintptr_t input_ptr
         if (isinstance(X, cudf.DataFrame)):
@@ -319,9 +315,6 @@ class KMeans:
 
         """
 
-        self.n_rows = len(X)
-        self.n_cols = len(X._cols)
-
         cdef uintptr_t input_ptr
         if (isinstance(X, cudf.DataFrame)):
             self.gdf_datatype = np.dtype(X[X.columns[0]]._column.dtype)
@@ -349,10 +342,6 @@ class KMeans:
 
         cdef uintptr_t preds_ptr = self._get_ctype_ptr(preds_data)
 
-        ary = np.array([1.0, 1.5, 3.5, 2.5], dtype=np.float32)
-        dary = cuda.to_device(ary)
-        cdef uintptr_t ptr2 = dary.device_ctypes_pointer.value
-
         if self.gdf_datatype.type == np.float32:
             c_kmeans.kmeans_transform(
                 <int> self.verbose,                    # verbose
diff --git a/python/cuML/pca/pca_wrapper.pyx b/python/cuML/pca/pca_wrapper.pyx
index d24df702b5..3358bd6fb7 100644
--- a/python/cuML/pca/pca_wrapper.pyx
+++ b/python/cuML/pca/pca_wrapper.pyx
@@ -297,6 +297,8 @@ class PCA:
         if (isinstance(X, cudf.DataFrame)):
             del(X_m)
 
+        return self
+
     def fit_transform(self, X):
         """
         Fit the model with X and apply the dimensionality reduction on X.
diff --git a/python/cuML/tsvd/tsvd_wrapper.pyx b/python/cuML/tsvd/tsvd_wrapper.pyx
index 6b91f9b79e..251e6fcc47 100644
--- a/python/cuML/tsvd/tsvd_wrapper.pyx
+++ b/python/cuML/tsvd/tsvd_wrapper.pyx
@@ -244,6 +244,7 @@ class TruncatedSVD:
         self.singular_values_ptr = singular_vals_ptr
 
         del(X_m)
+        return self
 
     def fit_transform(self, X):
         """