Comments (5)
Can you try to delete the folder ~/.astroNN
.
astroNN version on pip is old and does not support Galaxy10 DECals. So you are right to use the latest commit.
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Hi Henry! Thanks for the response.
Yep, cleared it, and redid the git clone in the CoLab and got this error:
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-25-f237cb2ade41> in <module>()
1 # Import statements
2
----> 3 from astroNN.datasets import load_galaxy10
4 from tensorflow.keras import utils
5
ModuleNotFoundError: No module named 'astroNN.datasets'
---------------------------------------------------------------
I'm not sure why this is the case, since doing some jumping around I can find the datasets folder manually.
I must admit though I'm not familiar with creating python packages, so I'm a bit lost as to why.
I have also tried running setup.py install
and still get the same error.
Thank you again for your help!
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Did you run your ipython or script inside astroNN folder? You cannot run script or ipython inside astroNN folder.
Can you even just do import astroNN
, if error raised then you should pip uninstall astroNN
and python setup.py develop
again
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Hi Henry!
We did those, and it still didn't work. To get it to work in CoLab (at least for us) we did the following in a cell:
!pip install tensorflow==2.5.0 -q
!pip install tensorflow_probability -q
!pip install git+https://github.com/henrysky/astroNN.git
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Thanks! I have updated the docs to reflect this 374e7c2
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Related Issues (15)
- Parrallel odeint integration wrt func or parameter HOT 2
- Galaxy-10 missing images HOT 1
- tensorflow 2.4.1 HOT 3
- ApogeeBCNN() dimensions HOT 11
- DR16 astroNN catalog of distances produces incorrect parsec values for Md and Mg stars HOT 8
- Transfer learning & Fine-tuning HOT 8
- Loading Galaxy10 dataset HOT 3
- Keras's fit_generator failed when use_multiprocessing=True on WIndows only HOT 1
- Bugs in 3 of the demo_tutorial/NN_uncertainty_analysis HOT 1
- Current .h5 dataset loading mechanism is problematic
- Complete Tensorflow support without installing Keras separately HOT 3
- Weird errors raised by running the new accelerated BNN test() method HOT 2
- Can not reproduce results of Uncertainty_Demo_MNIST.ipynb HOT 4
- ODE example on tensorflow 2.2.0 HOT 3
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