[英]TensorFlow import data for linear regression
我正在研究TensorFlow上的項目,我正在嘗試用線性回歸器訓練模型。 要在估算器上添加我的數據我正在使用函數tf.estimator.inputs.pandas_input_fn()但我無法啟動訓練因為我有一些問題。 我收到了這個錯誤:
TypeError: Failed to convert object of type <class 'dict'> to Tensor. Contents: {'DispositionSoldAmount': <tf.Tensor 'random_shuffle_queue_DequeueMany:4' shape=(128,) dtype=float64>}. Consider casting elements to a supported type.
我試圖將yData更改為pandas.core.series.Series ,但這並沒有改變結果。
有人有解決方案來解決我的問題嗎?
此外,我使用相同的DataSet訓練另一個模型與sklearn.linear_regression,並且正常工作。
這是我的代碼:
FEATURES = ["DispositionMileage", "PurchasePrice", "Age"] # X
feature_cols = [tf.feature_column.numeric_column(k) for k in FEATURES]
estimator = tf.estimator.LinearRegressor(feature_columns=feature_cols,model_dir="train")
def get_input_fn( num_epochs=None, n_batch = 128, shuffle=True):
return tf.estimator.inputs.pandas_input_fn(
x=Xdata,
y=ydata,
batch_size=n_batch,
num_epochs=num_epochs,
shuffle=shuffle)
estimator.train(input_fn=get_input_fn(num_epochs=None,n_batch = 128,shuffle=True),steps=1000)
使用的數據:
Xdata type is pandas.core.frame.DataFrame:
DispositionMileage PurchasePrice Age
9741 3849 16472.0 0
9744 3849 16472.0 0
9745 3849 16472.0 0
9748 3849 16472.0 0
...
[18105 rows x 3 columns]
ydata type is pandas.core.frame.DataFrame:
DispositionSoldAmount
9741 1650.0
9744 1650.0
9745 1650.0
9748 1650.0
13465 7750.0
...
[18105 rows x 1 columns]
完整的追溯:
WARNING:tensorflow:From /home/USER/.local/lib/python3.6/site-packages/tensorflow/python/estimator/inputs/queues/feeding_queue_runner.py:62: QueueRunner.__init__ (from tensorflow.python.training.queue_runner_impl) is deprecated and will be removed in a future version.
Instructions for updating:
To construct input pipelines, use the `tf.data` module.
WARNING:tensorflow:From /home/USER/.local/lib/python3.6/site-packages/tensorflow/python/estimator/inputs/queues/feeding_functions.py:500: add_queue_runner (from tensorflow.python.training.queue_runner_impl) is deprecated and will be removed in a future version.
Instructions for updating:
To construct input pipelines, use the `tf.data` module.
Traceback (most recent call last):
File "/home/USER/.local/lib/python3.6/site-packages/tensorflow/python/framework/tensor_util.py", line 527, in make_tensor_proto
str_values = [compat.as_bytes(x) for x in proto_values]
File "/home/USER/.local/lib/python3.6/site-packages/tensorflow/python/framework/tensor_util.py", line 527, in <listcomp>
str_values = [compat.as_bytes(x) for x in proto_values]
File "/home/USER/.local/lib/python3.6/site-packages/tensorflow/python/util/compat.py", line 61, in as_bytes
(bytes_or_text,))
TypeError: Expected binary or unicode string, got {'DispositionSoldAmount': <tf.Tensor 'random_shuffle_queue_DequeueMany:4' shape=(128,) dtype=float64>}
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "tuto.py", line 85, in <module>
estimator.train(input_fn=get_input_fn(num_epochs=None,n_batch = 128,shuffle=True),steps=1000)
File "/home/USER/.local/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 354, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "/home/USER/.local/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 1207, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "/home/USER/.local/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 1237, in _train_model_default
features, labels, model_fn_lib.ModeKeys.TRAIN, self.config)
File "/home/USER/.local/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 1195, in _call_model_fn
model_fn_results = self._model_fn(features=features, **kwargs)
File "/home/USER/.local/lib/python3.6/site-packages/tensorflow/python/estimator/canned/linear.py", line 537, in _model_fn
sparse_combiner=sparse_combiner)
File "/home/USER/.local/lib/python3.6/site-packages/tensorflow/python/estimator/canned/linear.py", line 215, in _linear_model_fn
logits=logits)
File "/home/USER/.local/lib/python3.6/site-packages/tensorflow/python/estimator/canned/head.py", line 239, in create_estimator_spec
regularization_losses))
File "/home/USER/.local/lib/python3.6/site-packages/tensorflow/python/estimator/canned/head.py", line 1482, in _create_tpu_estimator_spec
features=features, mode=mode, logits=logits, labels=labels)
File "/home/USER/.local/lib/python3.6/site-packages/tensorflow/python/estimator/canned/head.py", line 1381, in create_loss
expected_labels_dimension=self._logits_dimension)
File "/home/USER/.local/lib/python3.6/site-packages/tensorflow/python/estimator/canned/head.py", line 305, in _check_dense_labels_match_logits_and_reshape
labels = sparse_tensor.convert_to_tensor_or_sparse_tensor(labels)
File "/home/USER/.local/lib/python3.6/site-packages/tensorflow/python/framework/sparse_tensor.py", line 279, in convert_to_tensor_or_sparse_tensor
value, dtype=dtype, name=name)
File "/home/USER/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1146, in internal_convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/home/USER/.local/lib/python3.6/site-packages/tensorflow/python/framework/constant_op.py", line 229, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "/home/USER/.local/lib/python3.6/site-packages/tensorflow/python/framework/constant_op.py", line 208, in constant
value, dtype=dtype, shape=shape, verify_shape=verify_shape))
File "/home/USER/.local/lib/python3.6/site-packages/tensorflow/python/framework/tensor_util.py", line 531, in make_tensor_proto
"supported type." % (type(values), values))
TypeError: Failed to convert object of type <class 'dict'> to Tensor. Contents: {'DispositionSoldAmount': <tf.Tensor 'random_shuffle_queue_DequeueMany:4' shape=(128,) dtype=float64>}. Consider casting elements to a supported type.
您需要將您的ydata Dataframe轉換為pandas.Series
ydata = pd.Series(ydata[column_name])
檢查隨機數據,它正在工作。 我真的很驚訝,它看起來像在較新的TF版本中tf.estimator.inputs.pandas_input_fn
不接受數據幀作為標簽。
好的,與pandas.Series一起工作。 感謝您的回答。 pandas.DataFrame看起來與tf.estimator.inputs.pandas_input_fn函數中的y參數不兼容 。
聲明:本站的技術帖子網頁,遵循CC BY-SA 4.0協議,如果您需要轉載,請注明本站網址或者原文地址。任何問題請咨詢:yoyou2525@163.com.