keras/src/layers/preprocessing/feature_space.py/FeatureSpace/float_normalized
class FeatureSpace:    def float_normalized(cls, name=None):
        name = name or auto_name("float_normalized")
        preprocessor = layers.Normalization(
            axis=-1, name=f"{name}_preprocessor"
        )
        return Feature(
            dtype="float32", preprocessor=preprocessor, output_mode="float"
        )