search

AnthonyRentsch / calibrated_regression

A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.
50 stars 11 forks source link

Can you share requirements.txt #5

Open XZLeo opened 1 year ago

XZLeo commented 1 year ago

First of all, thanks for the illustrative notebook. I'm trying to replicate the result but maybe using a later version of pymc. I got 

ModuleNotFoundError: No module named 'pymc3'

If I call pymc instead, there will be other bugs. Many thanks!

XZLeo commented 1 year ago

Using pymc3 will cause numpy problem:

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Cell In[2], line 4
      2 import pandas as pd
      3 import numpy as np
----> 4 import pymc3 as pm
      6 # source files
      7 import sys

File [~/miniconda3/envs/pymc3_env/lib/python3.10/site-packages/pymc3/__init__.py:23](https://vscode-remote+ssh-002dremote-002bsmaug.vscode-resource.vscode-cdn.net/home/zilxi06/calibrated_regression/~/miniconda3/envs/pymc3_env/lib/python3.10/site-packages/pymc3/__init__.py:23)
     20 import platform
     22 import semver
---> 23 import theano
     25 _log = logging.getLogger("pymc3")
     27 if not logging.root.handlers:

File [~/miniconda3/envs/pymc3_env/lib/python3.10/site-packages/theano/__init__.py:83](https://vscode-remote+ssh-002dremote-002bsmaug.vscode-resource.vscode-cdn.net/home/zilxi06/calibrated_regression/~/miniconda3/envs/pymc3_env/lib/python3.10/site-packages/theano/__init__.py:83)
     75 # This is the api version for ops that generate C code.  External ops
     76 # might need manual changes if this number goes up.  An undefined
     77 # __api_version__ can be understood to mean api version 0.
     78 #
     79 # This number is not tied to the release version and should change
     80 # very rarely.
     81 __api_version__ = 1
---> 83 from theano import scalar, tensor
...

AttributeError: module 'numpy' has no attribute 'bool'.
`np.bool` was a deprecated alias for the builtin `bool`. To avoid this error in existing code, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations