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MAINT parameter validation for sklearn.datasets.fetch_lfw_people #25735

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15 changes: 13 additions & 2 deletions sklearn/datasets/_lfw.py
Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,7 @@

from os import listdir, makedirs, remove
from os.path import join, exists, isdir

from ..utils._param_validation import validate_params,HasMethods
import logging

import numpy as np
Expand Down Expand Up @@ -230,7 +230,18 @@ def _fetch_lfw_people(
faces, target = faces[indices], target[indices]
return faces, target, target_names


@validate_params(
{
"data_home":[str,None],
"funneled":["boolean"],
"resize":[float,None],
"min_faces_per_person":[int,None],
"color":["boolean"],
"slice":["tuple of slice",(slice(0, 250), slice(0, 250))],
"download_if_missing":["boolean"],
"return_X_y":["boolean"],
}
)
def fetch_lfw_people(
*,
data_home=None,
Expand Down
11 changes: 10 additions & 1 deletion sklearn/datasets/_svmlight_format_io.py
Original file line number Diff line number Diff line change
Expand Up @@ -25,6 +25,7 @@
from .. import __version__

from ..utils import check_array, IS_PYPY
from ..utils._param_validation import validate_params,StrOptions

if not IS_PYPY:
from ._svmlight_format_fast import (
Expand Down Expand Up @@ -403,7 +404,15 @@ def _dump_svmlight(X, y, f, multilabel, one_based, comment, query_id):
y_is_sp,
)


@validate_params({
"X":["array-like","sparse matrix"],
"y":["array-like","sparse matrix"],
"f":[str,StrOptions({"file"})],
"zero_based":[bool,True],
"comment":[str,None],
"query_id":["array-like",None],
"multilabel":[bool,False],
})
def dump_svmlight_file(
X,
y,
Expand Down
2 changes: 2 additions & 0 deletions sklearn/tests/test_public_functions.py
Original file line number Diff line number Diff line change
Expand Up @@ -107,6 +107,8 @@ def _check_function_param_validation(
"sklearn.datasets.make_classification",
"sklearn.datasets.make_friedman1",
"sklearn.datasets.make_sparse_coded_signal",
"sklearn.datasets.dump_svmlight_file",
"sklearn.datasets.fetch_lfw_people",
"sklearn.decomposition.sparse_encode",
"sklearn.feature_extraction.grid_to_graph",
"sklearn.feature_extraction.img_to_graph",
Expand Down