as_float_array implementation (sklearn frontend)

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

@@ -1,2 +1,4 @@
 from . import multiclass
 from .multiclass import *
+from . import validation
+from .validation import *

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

@@ -0,0 +1,13 @@
+import ivy
+from ivy.functional.frontends.numpy.func_wrapper import to_ivy_arrays_and_back
+
+
+@to_ivy_arrays_and_back
+def as_float_array(X, *, copy=True, force_all_finite=True):
+    if X.dtype in [ivy.float32, ivy.float64]:
+        return X.copy_array() if copy else X
+    if ("bool" in X.dtype or "int" in X.dtype or "uint" in X.dtype) and ivy.itemsize(X) <= 4:
+        return_dtype = ivy.float32
+    else:
+        return_dtype = ivy.float64
+    return ivy.asarray(X, dtype=return_dtype)

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

@@ -0,0 +1,28 @@
+import ivy_tests.test_ivy.helpers as helpers
+from ivy_tests.test_ivy.helpers import handle_frontend_test
+
+
+@handle_frontend_test(
+    fn_tree="sklearn.utils.as_float_array",
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("valid"),
+    ),
+)
+def test_sklearn_as_float_array(
+    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,
+        X=x[0],
+    )