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