2
張量流,我無法讀取字符串,長,只允許短浮動嗎?爲什麼?如何讀取張量流中的字符串和長特徵
import tensorflow as tf
import numpy as np
# Data sets
IRIS_TRAINING = "seRelFeatures.csv"
IRIS_TEST = "seRelFeatures.csv"
# Load datasets.
training_set = tf.contrib.learn.datasets.base.load_csv(filename=IRIS_TRAINING, target_dtype=np.int)
test_set = tf.contrib.learn.datasets.base.load_csv(filename=IRIS_TEST, target_dtype=np.int)
這裏是錯誤
/home/xuejiao/anaconda2/bin/python /home/xuejiao/Desktop/HDSO_DirectAnswer/training_testing/dnn_semiSuper.py
Traceback (most recent call last):
File "/home/xuejiao/Desktop/HDSO_DirectAnswer/training_testing/dnn_semiSuper.py", line 9, in <module>
training_set = tf.contrib.learn.datasets.base.load_csv(filename=IRIS_TRAINING, target_dtype=np.int)
File "/home/xuejiao/anaconda2/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/datasets/base.py", line 47, in load_csv
target[i] = np.asarray(ir.pop(target_column), dtype=target_dtype)
File "/home/xuejiao/anaconda2/lib/python2.7/site-packages/numpy/core/numeric.py", line 482, in asarray
return array(a, dtype, copy=False, order=order)
ValueError: invalid literal for long() with base 10: ''
Process finished with exit code 1