Lines Matching refs:features
33 def _colate_features_to_feeds_and_fetches(continue_from, signature, features,
53 for feature_key, feature_value in features.items():
87 features for the model to use while making the predictions. Values must
103 features = {_feature_keys.PredictionFeatures.TIMES: predict_times}
104 features.update(exogenous_features)
110 features=features,
113 output[_feature_keys.PredictionResults.TIMES] = features[
118 def filter_continuation(continue_from, signatures, session, features):
134 features: A dictionary mapping keys to Numpy arrays, with several possible
138 vector of length [number of features].
141 features] (multivariate).
144 size x series length x number of features].
145 In any case, `VALUES` and any exogenous features must have their shapes
149 in `features`.
153 features = _input_pipeline._canonicalize_numpy_data( # pylint: disable=protected-access
154 data=features,
159 features=features,
164 output[_feature_keys.FilteringResults.TIMES] = features[
