some data files are missing?

[EmbraceLife]

when running it, there is an error saying can't find the file names with ultimate_feature, ultimate_label and etc.

Here is the error:

  File "/Users/Natsume/miniconda2/envs/tf-experiment/lib/python3.6/site-packages/numpy/lib/npyio.py", line 860, in loadtxt
    fh = iter(open(fname))
FileNotFoundError: [Errno 2] No such file or directory: './ultimate_feature.30'
Uncaught exception. Entering post mortem debugging
Running 'cont' or 'step' will restart the program

The source code involved:

  23     def read_ultimate(path, input_shape):
  24  ->     ultimate_features = numpy.loadtxt(path + "ultimate_feature." + str(input_sha
  25         ultimate_features = numpy.reshape(ultimate_features, [-1, input_shape[0], in
  26         ultimate_labels = numpy.loadtxt(path + "ultimate_label." + str(input_shape[0
  27         # ultimate_labels = numpy.reshape(ultimate_labels, [-1, 1])
  28         train_set = DataSet(ultimate_features, ultimate_labels)
  29         test_features = numpy.loadtxt(path + "ultimate_feature.test." + str(input_sh
  30         test_features = numpy.reshape(test_features, [-1, input_shape[0], input_shap
  31         test_labels = numpy.loadtxt(path + "ultimate_label.test." + str(input_shape[
  32         # test_labels = numpy.reshape(test_labels, [-1, 1])
  33         test_set = DataSet(test_features, test_labels)
  34         return train_set, test_set

by the way, your code is compatible with keras 2, right?

[markovyao]

use feature.py to generate the ultimate_feature.30

[happynoom]

Sorry，I see the issue late. Yes，feature.py is to generate features, so it is not generated per train. And it's campatible with keras 2, just add two functions to keras source code as readme described. Thanks!