keras-team/keras · error · ValueError

The `features` argument cannot be None or empty.

Error message

The `features` argument cannot be None or empty.

What it means

Error "The `features` argument cannot be None or empty." thrown in keras-team/keras.

Source

Thrown at keras/src/layers/preprocessing/feature_space.py:399

            name=f"{name}_preprocessor", num_bins=num_bins
        )
        return Feature(
            dtype="int32", preprocessor=preprocessor, output_mode=output_mode
        )

    def __init__(
        self,
        features,
        output_mode="concat",
        crosses=None,
        crossing_dim=32,
        hashing_dim=32,
        num_discretization_bins=32,
        name=None,
    ):
        super().__init__(name=name)
        if not features:
            raise ValueError("The `features` argument cannot be None or empty.")
        self.crossing_dim = crossing_dim
        self.hashing_dim = hashing_dim
        self.num_discretization_bins = num_discretization_bins
        self.features = {
            name: self._standardize_feature(name, value)
            for name, value in features.items()
        }
        self.crosses = []
        if crosses:
            feature_set = set(features.keys())
            for cross in crosses:
                if isinstance(cross, dict):
                    cross = serialization_lib.deserialize_keras_object(cross)
                if isinstance(cross, Cross):
                    self.crosses.append(cross)
                else:
                    if not crossing_dim:
                        raise ValueError(

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/layers/preprocessing/feature_space.py:399 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of keras-team/keras@7a34a03db6 (2026-08-25). Data as JSON: /api/errors/b042666dd9923709. Report an issue: GitHub.