DNNCLassifier Tensorflowのlabel_keysタイプエラー

Question

TensorflowのDNNClassifierモデルにラベルを埋め込みたいとします。一方、 'int64型'>

：

label_keys_values = ["satan", "ipsweep", "nmap", "portsweep"] 
m = tf.contrib.learn.DNNClassifier(model_dir=model_dir, 
            feature_columns=deep_columns, 
            n_classes=4, 
            hidden_units=[12, 4], 
            label_keys=label_keys_values) 
m.fit(input_fn=train_input_fn, steps=200) 

File "embedding_model_probe.py", line 118, in m.fit(input_fn=train_input_fn, steps=200) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation.py", line 281, in new_func return func(*args, **kwargs) File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 430, in fit loss = self._train_model(input_fn=input_fn, hooks=hooks) File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 927, in _train_model model_fn_ops = self._get_train_ops(features, labels) File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 1132, in _get_train_ops return self._call_model_fn(features, labels, model_fn_lib.ModeKeys.TRAIN) File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 1103, in _call_model_fn model_fn_results = self._model_fn(features, labels, **kwargs) File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/estimators/dnn.py", line 180, in _dnn_model_fn logits=logits) File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/estimators/head.py", line 1004, in create_model_fn_ops labels = self._transform_labels(mode=mode, labels=labels) File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/estimators/head.py", line 1033, in _transform_labels "label_ids": table.lookup(labels_tensor), File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/lookup/lookup_ops.py", line 179, in lookup (self._key_dtype, keys.dtype)) TypeError: Signature mismatch. Keys must be dtype

<はDTYPE： '文字列'>、< DTYPEを得た は、ドキュメントの例とは異なり、hereは、私は、次のエラーメッセージが表示されます

label_keys_values = np.array(["satan", "ipsweep", "nmap", "portsweep"], dtype='string') 

Traceback (most recent call last): File "embedding_model_probe.py", line 116, in label_keys=label_keys_values) File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/estimators/dnn.py", line 337, in init label_keys=label_keys), File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/estimators/head.py", line 331, in multi_class_head label_keys=label_keys) File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/estimators/head.py", line 986, in init if label_keys and len(label_keys) != n_classes: ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

0123：私は label_key_values列 numpy.arrayを加えた場合、私は次のエラーを取得します

Answer 1

私は解決策を得ました。公式の文書によると、here：

"ユーザーがコンストラクタでlabel_keysを指定する場合、labelはlabel_keysの語彙の文字列でなければなりません。"

私のケースでは、トレーニングとテストセットのラベル列をワンホットベクトル（整数値）に変換し、label_keys_values配列の値が一致しませんでした。