Question

使用：

feature_cols = [tf.feature_column.numeric_column(k) for k in df.columns.values]

classifier = tf.contrib.learn.SVM( example_id_column='example_id', feature_columns=feature_cols, l2_regularization=10.0)

input_fn = tf.estimator.inputs.pandas_input_fn(
    x=pd.DataFrame(df),
    y=pd.Series(score),
batch_size=128,
    num_epochs=1,
    shuffle=False,
    queue_capacity=1000,
    num_threads=1,
    target_column='target'
    )

classifier.fit(input_fn=input_fn, steps=2000)

我收到错误：

文件“mlSVM.py”，第68行，in classifier.fit（input_fn = input_fn，steps = 2000）在new_func中输入文件“/home/walker/tf/local/lib/python2.7/site-packages/tensorflow/python/util/deprecation.py”，第316行 return func（* args，** kwargs）文件“/home/walker/tf/local/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py”，第480行，in fit loss = self._train_model（input_fn = input_fn，hooks = hooks）在_train_model中输入文件“/home/walker/tf/local/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py”，第986行 model_fn_ops = self._get_train_ops（功能，标签）在_get_train_ops中输入文件“/home/walker/tf/local/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py”，第1202行 return self._call_model_fn（features，labels，model_fn_lib.ModeKeys.TRAIN）在_call_model_fn中输入文件“/home/walker/tf/local/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py”，第1166行 model_fn_results = self._model_fn（features，labels，** kwargs）在sdca_model_fn中输入文件“/home/walker/tf/local/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/linear.py”，第244行 features.update（layers.transform_features（features，feature_columns））在transform_features中输入文件“/home/walker/tf/local/lib/python2.7/site-packages/tensorflow/contrib/layers/python/layers/feature_column_ops.py”，第647行 transformer.transform（列）文件“/home/walker/tf/local/lib/python2.7/site-packages/tensorflow/contrib/layers/python/layers/feature_column_ops.py”，第838行，在变换中 feature_column.insert_transformed_feature（self._columns_to_tensors） AttributeError：'_ NomericColumn'对象没有属性'insert_transformed_feature'

Answer 1

这种情况正在发生，因为您正在将tf.contrib的SVM估算工具与来自核心TensorFlow（tf.feature_column.numeric_column）的要素列进行混合。

尝试使用功能列的contrib版本。将tf.feature_column.numeric_column(k)替换为tf.contrib.layers.real_valued_column(k)。

This article提供了更多关于这是一个问题的背景信息。

tf.estimator.inputs.pandas_input_fn throws _NumericColumn'对象没有属性'insert_transformed_feature

1 个答案: