feat(frontend): implement column_or_1d function for sklearn validatio…

…n submod with test. Complex types are unsupported.

ivy/functional/frontends/sklearn/utils/validation.py

@@ -1,5 +1,6 @@
 import ivy
 from ivy.functional.frontends.numpy.func_wrapper import to_ivy_arrays_and_back
+from ivy.func_wrapper import with_unsupported_dtypes
 
 
 @to_ivy_arrays_and_back
@@ -13,3 +14,15 @@ def as_float_array(X, *, copy=True, force_all_finite=True):
     else:
         return_dtype = ivy.float64
     return ivy.asarray(X, dtype=return_dtype)
+
+
+@with_unsupported_dtypes({"1.3.0 and below": ("complex",)}, "sklearn")
+@to_ivy_arrays_and_back
+def column_or_1d(y, *, warn=False):
+    shape = y.shape
+    if len(shape) == 2 and shape[1] == 1:
+        y = ivy.reshape(y, (-1,))
+    elif len(shape) > 2:
+        raise ValueError(
+            "y should be a 1d array or a column vector")
+    return y

ivy_tests/test_ivy/test_frontends/test_sklearn/test_utils/test_validation.py

@@ -1,3 +1,4 @@
+from hypothesis import strategies as st
 import ivy_tests.test_ivy.helpers as helpers
 from ivy_tests.test_ivy.helpers import handle_frontend_test
 
@@ -26,3 +27,30 @@ def test_sklearn_as_float_array(
         on_device=on_device,
         X=x[0],
     )
+
+
+@handle_frontend_test(
+    fn_tree="sklearn.utils.column_or_1d",
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("valid"),
+        shape=st.one_of(st.tuples(st.integers(1, 10), st.just(1)), st.tuples(st.integers(1, 10))),
+    ),
+)
+def test_sklearn_column_or_1d(
+    dtype_and_x,
+    on_device,
+    fn_tree,
+    frontend,
+    test_flags,
+    backend_fw,
+):
+    dtypes, x = dtype_and_x
+    helpers.test_frontend_function(
+        input_dtypes=dtypes,
+        backend_to_test=backend_fw,
+        test_flags=test_flags,
+        fn_tree=fn_tree,
+        frontend=frontend,
+        on_device=on_device,
+        y=x[0],
+    )