diff --git a/pyproject.toml b/pyproject.toml index 84117b1a..d1f5250c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,9 +7,9 @@ name = "tabpfn-extensions" version = "0.2.2" dependencies = [ "torch>=2.1,<3", - "pandas>=1.4.0,<3", - "scikit-learn>=1.6.0,<1.7", - "scipy>=1.11.1,<2", + "pandas>=1.4.0", + "scikit-learn>=1.6.0", + "scipy>=1.11.1", "tabpfn>=6.0.5,<8", "tabpfn-common-utils[telemetry-interactive]>=0.2.0", ] diff --git a/src/tabpfn_extensions/misc/sklearn_compat.py b/src/tabpfn_extensions/misc/sklearn_compat.py index e3a5bdca..04e104e2 100644 --- a/src/tabpfn_extensions/misc/sklearn_compat.py +++ b/src/tabpfn_extensions/misc/sklearn_compat.py @@ -245,7 +245,7 @@ def _raise_for_params(params, owner, method): f" details. Extra parameters passed are: {set(params)}", ) - def _is_pandas_df(X): + def is_pandas_df(X): """Return True if the X is a pandas dataframe.""" try: pd = sys.modules["pandas"] @@ -260,7 +260,6 @@ def _is_pandas_df(X): ) from sklearn.utils.validation import ( _is_fitted, # noqa: F401 - _is_pandas_df, # noqa: F401 ) @@ -861,3 +860,15 @@ def parametrize_with_checks( check_X_y, # noqa: F401 validate_data, # noqa: F401 ) + + +######################################################################################## +# Upgrading for scikit-learn 1.8 +######################################################################################## + + +if sklearn_version < parse_version("1.8"): + if sklearn_version >= parse_version("1.4"): + from sklearn.utils.validation import _is_pandas_df as is_pandas_df +else: + from sklearn.utils._dataframe import is_pandas_df # noqa: F401 diff --git a/uv.lock b/uv.lock index b5036596..28f95b6d 100644 --- a/uv.lock +++ b/uv.lock @@ -2,13 +2,24 @@ version = 1 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