-
Notifications
You must be signed in to change notification settings - Fork 447
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Missing directories and symbolic links #29
Comments
Nice, it seems your code addition did in fact fix the initial problem. However, while the neural net is training now, the script still runs into another path error (directory not found)... Perhaps I'm still missing something... |
I'm changing my suggestion to pick up the missing processing directories. `import os os.makedirs(datadir, exist_ok=True) if not os.path.exists('sample_data') : if not os.path.exists('rf_data') : os.chdir(sampledataprocessed)
os.chdir(aialpha_home) |
|
With a clean git clone of this, run.py errors out quickly because of path errors. It should be addressed internally but with this at the top of run.py, it will run
import os
aialpha_home=os.getcwd()
datadir = aialpha_home + '/data/processed_data'
os.makedirs(datadir, exist_ok=True)
os.chdir(datadir)
sampledata = aialpha_home + '/sample_data/'
if not os.path.exists('sample_data') :
os.symlink(sampledata, 'sample_data')
autoencodedata = aialpha_home + '/sample_data/processed_data/autoencoder_data'
if not os.path.exists('rf_data'):
os.symlink(autoencodedata, 'rf_data')
os.chdir(aialpha_home)
The text was updated successfully, but these errors were encountered: