I've been using Google CoLab for a project and recently imported the library pycotools3 from a public receptacle to help move some data I have over to COPASI. However, though pycotools3 is recognized by CoLab, none of its classes are.
For instance, when I try any of the following:
from pycotools3 import model
from pycotools3.model import model
from pycotools3 import Model
from pycotools3.model import Model
I receive the error message: "cannot import name 'model'" or "No module named 'pycotools.model'".
The same thing happens with any of the other classes (tasks and viz).
Any ideas on why this is happening or how to fix it?
I think I figured out the problem, so I wanted to answer this in case anyone else has a similar issue. Numpy and scipy, which pycotools3 interacts with, were not up to date. I had updated them for this project, but never restarted my runtime. After restarting my runtime on CoLab, 'model' was recognized.
Related
I need to use spark in transfer learning to train images ,the error is:
"nnot import name 'resnet50' from 'keras.applications' (/usr/local/lib/python3.7/dist-packages/keras/applications/init.py) "
i try to solve this question since one week, this one is coming from sparkdl, if you add to this file (sparkdl/transformers/keras_applications.py)
**
from tensorflow.keras.applications
**, it will be return normal, but this time you will see another error like
AttributeError: module 'tensorflow' has no attribute 'Session'
i tried on different IDE (Pycharm, Vs Code) but i got the same errors. there are different explications on Stackoverflow. but i'm totally confused now
I am sure this is something basic but I have been banging my head against the wall for a while now and I can't figure it out.
I have trained and registered a model using automl in AzureML. The model is visible in the registry.
When I try to load it in order to do something with it, I use this basic/standard code:
from azureml.core.model import Model
import joblib
from azureml.core import Workspace
from azureml.core.environment import Environment
ws = Workspace.from_config()
model_obj = Model(ws, "ModelName")
model_path = model_obj.download(exist_ok = True)
model = joblib.load(model_path)
And I get this lovely error
ImportError: cannot import name 'HoltWintersResultsWrapper' from 'statsmodels.tsa.holtwinters' (/anaconda/envs/azureml_py38/lib/python3.8/site-packages/statsmodels/tsa/holtwinters/__init__.py)
My statsmodels and automl packages are updated.
I have even tried removing exponential models from the automl configuration to see if it was a specific issue with these models.
I have also tried changing the environment to a curated one but nothing seems to work.
I didn't get anywhere online as well so here I am.
Does anyone know what the heck is going on here?
Thanks!
The issue is with the way we are calling the module. Some of the modules are dependent ion calling, they must be called with their parent package name. In the function calling the HoltWintersResultsWrapper, replace the existing calling method with the function.
Check with the document procedure designed by programtalk
**
assert isinstance(
statsmodels_loaded,
statsmodels.tsa.holtwinters.results.HoltWintersResultsWrapper,
)
**
I am trying to start a project to learn how to use opencv and the first problem I encountered is this : "Module 'cv2' has no ---- member pylint(no-member) as posted in the picture.
I have found some information here in Stack Overflow but I'm afraid, I might not be proficient enough to understand what is going on. Could someone point me in the right direction to solve my problem?
Thanks!
One possible reason is that you might have a file named cv2.py somewhere on your machine other than the original cv2 module and now python is importing that file rather than the cv2 module.
Or perhaps you could've downloaded a wrong cv2 module, other than that i don't see anything that could've gone wrong as you don't have a complex code. Try reinstalling the module and/or removing a file named cv2.py (if you've accidentaly created one).
You can check the module by importing the module in the terminal and check for dir, on python console type import cv2 and then dir(cv2), now you should see all the classes contained in the cv2 module.
If the program runs correctly then I guess you are facing linting issue which is answer in this [https://stackoverflow.com/questions/26657265/hide-some-maybe-no-member-pylint-errors] question.
Solution is to turn off no-member linting error using below command
pylint disable=maybe-no-member
OR
pylint --disable=E1101
I was thinking of giving aioxmpp a try. I successfully installed the library using pip.
But when I import it, it gives me
pytz.exceptions.UnknownTimeZoneError: 'Can not find any timezone configuration'
I then googled what the exception is and I don't see any connection between the pytz library and the the aioxmpp library. I tried everything, looking up pytz tutorials to set up a timezone but I can't find anything. Nor can I find any aioxmpp tutorials.
The usual code I start with is this
import aioxmpp
#Find out more about aioxmpp
results = dir(aioxmpp)
for result in results:
print(results)
I even tried using the interpreter. It raises that exception as soon as I import the aioxmpp module.
Now, my question is, why is it raising that exception and how do I fix it? I literally just learned about aioxmpp a few days ago. I don't now where to start.
I don't know if it helps but I'm using an android app called PyDroid3 for programming.
I'm trying to do the Udacity mini project and I've got the latest version of the SKLearn library installed (20.2).
When I run:
from sklearn.decomposition import RandomizedPCA
I get the error:
ImportError: cannot import name 'RandomizedPCA' from 'sklearn.decomposition' (/Users/kintesh/Documents/udacity_ml/python3/venv/lib/python3.7/site-packages/sklearn/decomposition/__init__.py)
I actually even upgraded the version using:
pip3 install -U scikit-learn
Which upgraded from 0.20.0 to 0.20.2, which also uninstalled and reinstalled... so I'm not sure why it can't initialise sklearn.decomposition.
Are there any solutions here that might not result in completely uninstalling python3 from my machine?! Would ideally like to avoid that.
Any help would be thoroughly appreciated!
Edit:
I'm doing some digging and trying to fix this, and it appears as though the __init__.py file in the decomposition library on the SKLearn GitHub doesn't reference RandomizedPCA... has it been removed or something?
Link to the GitHub page
As it turns out, RandomizePCA() was depreciated in an older version of SKLearn and is simply a parameter in PCA().
You can fix this by changing the import statement to:
from sklearn.decomposition import PCA as RandomizedPCA
... and then your classifier looks like this:
pca = RandomizedPCA(n_components=n_components, svd_solver='randomized', whiten=True).fit(X_train)
However, if you're here because you're doing the Udacity Machine Learning course on Eigenfaces.py, you'll notice that the PIL library is also deprecated.
Unfortunately I don't have a solution for that one, but here's the GitHub issue page, and here's a kind hearted soul that used a Jupyter Notebook to solve their mini-project back when these repositories worked.
I hope this helps, and gives enough information for the next person to get into Machine Learning. If I get some time I might take a crack at recoding eigenfaces.py for SKLearn 0.20.2, but for now I'm just going to crack on with the rest of this course.
In addition to what #Aaraeus said, the PIL library has been forked to Pillow.
You can fix the PIL import error using
pip3 install pillow