tensorflow/models · error · ValueError
Layer inputs is missing features: {missing_features}
Error message
Layer inputs is missing features: {missing_features} What it means
Error "Layer inputs is missing features: {missing_features}" thrown in tensorflow/models.
Source
Thrown at official/recommendation/uplift/layers/encoders/concat_features.py:59
super().__init__(**kwargs)
self._feature_names = feature_names
# Validate feature names.
if not feature_names:
raise ValueError(
"feature_names must be a non-empty list of strings but got"
f" {feature_names} instead."
)
if not all(isinstance(name, str) for name in feature_names):
raise TypeError(
"feature_names must be a list of strings, but got types"
f" {list(map(type, feature_names))}"
)
def build(self, input_shapes: Mapping[str, tf.TensorShape]) -> None:
missing_features = set(self._feature_names) - input_shapes.keys()
if missing_features:
raise ValueError(f"Layer inputs is missing features: {missing_features}")
feature_shapes = {
feature_name: tensor_shape
for feature_name, tensor_shape in input_shapes.items()
if feature_name in self._feature_names
}
most_specific_shape = tf.TensorShape(None)
for feature_name, shape in feature_shapes.items():
if not isinstance(shape, tf.TensorShape):
raise TypeError(
f"Got unsupported tensor shape type for feature {feature_name}. The"
" feature tensor must be one of `tf.Tensor`, `tf.SparseTensor` or"
" `tf.RaggedTensor`, with a well defined tensor shape but got shape"
f" {shape} instead."
)
shape = shape[:-1]View on GitHub (pinned to e006f5f0d5)
When it happens
Trigger: Thrown at official/recommendation/uplift/layers/encoders/concat_features.py:59 when the library encounters an invalid state.
Common situations: See trigger scenarios.
AI-assisted analysis of tensorflow/models@e006f5f0d5 (2026-08-24).
Data as JSON: /api/errors/a2c7260ff39c0292.
Report an issue: GitHub.