I imported sklearn DecisionBoundaryDisplay via the below command in my Google Colab file.
from sklearn.inspection import DecisionBoundaryDisplay
And I'm getting the following error.
ImportError: cannot import name 'DecisionBoundaryDisplay' from 'sklearn.inspection'
I even installed the following packages & also tried by restarting my runtime but still I'm getting the error.
!pip install --upgrade scikit-learn
!pip install scipy
!pip3 install -U scikit-learn scipy matplotlib
How to fix this issue?
what worked for me was installing scikit learn 1.1.0, i had version 1.0.2 before and got the same error you're encountering.
pip install -U scikit-learn --user
Hope it helps.
It seems DecisionBoundaryDisplay is a new feature and it is currently in an unstable development version. To use it, you need to install the nightly build.
Related
I am trying to import Top2Vec package for nlp topic modelling. But even after upgrading pip, numpy this error is coming.
I tried
pip install --upgrade pip
pip install --upgrade numpy
I was expecting to run
from top2vec import Top2Vec
model = Top2Vec(FAQs, speed='learn', workers=8)
but it is giving the mentioned error
It's probably related to the latest numpy release (v1.24.0). Try installing version 1.23.5:
pip install numpy==1.23.5
For me it was not the numpy release as I was already on the version 1.23.5.
I simply restarted the kernel and re-imported top2vec and it worked.
after importing and installing required packages and libraries I am encountering an import error on patch_sklearn().
from sklearnx import patch_sklearn()
patch_sklearn()
ImportError: cannot import name 'sparse_lsqr' from 'sklearn.utils.fixes' (C:\Users\yogis\AppData\Roaming\Python\Python38\site-packages\sklearn\utils\fixes.py)
Didn't know what you want to do here.
But you can try this:
from sklearn.feature_extraction.image import extract_patches_2d
You must install scikit learn version 1.0 and not 1.1
pip install scikit-learn==1.0
Then after this, restart kernel. If it doesn't work after this, I also had to force reinstall the other packages for conda.
conda install numpy scipy joblib scikit-learn --force-reinstall
and then restart kernel. It worked fine. This is a known bug and is fixed on pypi releases but not yet on conda.
I installed imageai,tensorflow,keras in python with pip
i typed this code
from imageai.Detection import ObjectDetection
it shows this error
ModuleNotFoundError: No module named 'keras.layers.advanced_activations'
module versions
imageai - 2.0.2
keras - 2.90
tensorflow - 2.9.1
im running on windows 10 pro
Try to update version of imageai to new versions.
try this
As imageai now uses Pytorch in backend, you must install a few library dependencies before installing imageai. Please refer to this link for the same.
pip install cython pillow>=7.0.0 numpy>=1.18.1 opencv-python>=4.1.2 torch>=1.9.0 --extra-index-url https://download.pytorch.org/whl/cpu torchvision>=0.10.0 --extra-index-url https://download.pytorch.org/whl/cpu pytest==7.1.3 tqdm==4.64.1 scipy>=1.7.3 matplotlib>=3.4.3 mock==4.0.3
pip install imageai --upgrade
Import the Object detection api from imageai
from imageai.Detection import ObjectDetection
Let us know if the issue still persists. Thank you.
ImportError: cannot import name '_joblib_parallel_args' from 'sklearn.utils.fixes' (c:\users\ezgi\appdata\local\programs\python\python38\lib\site-packages\sklearn\utils\fixes.py)
To fix I update sklearn library. But, it don't work. Anyone know the reason behind it?
I update sklearn with
pip install --upgrade scikit-learn
Also, uninstall and install it with pip.
This is because one of pycaret's dependencies (imbalanced-learn) fails with the latest version of sklearn
https://github.com/scikit-learn-contrib/imbalanced-learn/issues/894
A temporary workaround until this is fixed would be to use a lower version of sklearn. If you are using pip install pycaret, then you need to use a version of sklearn < 1.0.0
I can't import pyLDAvis.
It is installed but for some reason, I can not import it.
I tried
conda update anaconda
pip install --upgrade pip
pip install --upgrade jupyter notebook
pip install pyLDAvis
Installing pyLDAvis returns the message 'requirement already satisfied'. So I tried uninstalling and reinstalled the package but still doesn't work. This never happened with any other packages.
How can I solve this problem?
The pyLDAvis gensim name changed. When I use gensim_models rather than gensim the interactive viz works.
The 'gensim_models' name is in the latest commit to bmabey's repo.
import pyLDAvis
import pyLDAvis.gensim_models as gensimvis
pyLDAvis.enable_notebook()
# feed the LDA model into the pyLDAvis instance
lda_viz = gensimvis.prepare(ldamodel, corpus, dictionary)
Following code worked for me and I'm using Google Colaboratory.
!pip install pyLDAvis
import pyLDAvis
import pyLDAvis.gensim_models
pyLDAvis.enable_notebook()
vis = pyLDAvis.gensim_models.prepare(ldamodel, doc_term_matrix, dictionary)
vis
If you are working in jupyter notebook (python vs3.3.0)
"the No module named ‘pyLDAvis.gensim’"
error can be solved using:
import pyLDAvis.gensim_models
instead of:
import pyLDAvis.gensim
Try this
!pip install pyLDAvis
import pyLDAvis.gensim_models
This should work.
I faced the same issue and it worked for me
Please follow the below
import pyLDAvis.gensim_models as gensimvis
pyLDAvis.enable_notebook()
vis = gensimvis.prepare(lda_model, corpus, dictionary)
vis
The pip installation may not agree with Anaconda. It is better to use conda installation.
conda install -c conda-forge pyldavis
Then it should work fine with Anaconda Python.