jaccard_similarity_score import error from seganalysis

[JonoSax]

Using Windows, python 3.6.10

File ".\Anaconda3\envs\survos-env\lib\site-packages\survos\actions\seganalysis.py", line 8, in from sklearn.metrics import cohen_kappa_score, jaccard_similarity_score ImportError: cannot import name 'jaccard_similarity_score'

--> I went into seganalysis.py and changed the module being imported to jaccard_score (from sklearn.metrics import cohen_kappa_score, jaccard_score). I haven't used the software extensively so don't know if this is a substantial change, however it now opens and it would appear that it is a change in import name.....

[OllyK]

Thanks @JonoSax for pointing this out. Seems that the sklearn folks replaced this function in version 0.23 that was released last month. Will take a look into it. As a temporary fix you could downgrade your scikit-learn version to 0.22

[mridulrb]

Using Jupyter Notebook (Python 3.7)

# Evaluation Metrices
from sklearn.metrics import jaccard_similarity_score, f1_score, log_loss

ImportError Traceback (most recent call last)

in 1 # Evaluation Metrices ----> 2 from sklearn.metrics import jaccard_similarity_score, f1_score, log_loss ImportError: cannot import name 'jaccard_similarity_score' from 'sklearn.metrics' (/opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages/sklearn/metrics/__init__.py) Tried ```!pip install scikit-learn==0.22``` & ```!conda install scikit-learn=0.22``` but I still get the same error. @OllyK

[mridulrb]

Update from sklearn.metrics import jaccard_similarity_score needs to be replaced by from sklearn.metrics import jaccard_score and new parameter pos_label is required, for e.g. - jaccard_score(y_test, dt_yhat,pos_label = "PAIDOFF"). Valid labels for pos_label are: array(['COLLECTION', 'PAIDOFF'], dtype='<U10')

[davecampbell]

found this issue when searching for something similar in another project. i found that downgrading scikit-learn to 0.20.4 restored to the last version where that format was used.

pip uninstall scikit-learn
Found existing installation: scikit-learn 0.23.2
Uninstalling scikit-learn-0.23.2:
  Would remove:
    /opt/conda/lib/python3.7/site-packages/scikit_learn-0.23.2.dist-info/*
    /opt/conda/lib/python3.7/site-packages/sklearn/*
Proceed (y/n)? y
  Successfully uninstalled scikit-learn-0.23.2
daveccampbell@tensorflow-115-vm:~/projects$ pip install scikit-learn==0.20.4

[BekBrace]

Thank you @JonoSax , I struggled a bit with this - Cheers

[shreytalreja25]

Using Jupyter Notebook (Python 3.7)

# Evaluation Metrices
from sklearn.metrics import jaccard_similarity_score, f1_score, log_loss

ImportError Traceback (most recent call last) in 1 # Evaluation Metrices ----> 2 from sklearn.metrics import jaccard_similarity_score, f1_score, log_loss

ImportError: cannot import name 'jaccard_similarity_score' from 'sklearn.metrics' (/opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages/sklearn/metrics/init.py)

Tried !pip install scikit-learn==0.22 & !conda install scikit-learn=0.22 but I still get the same error. @OllyK

Did u find a solution?

[OllyK]

Using Jupyter Notebook (Python 3.7)

# Evaluation Metrices
from sklearn.metrics import jaccard_similarity_score, f1_score, log_loss

ImportError Traceback (most recent call last) in 1 # Evaluation Metrices ----> 2 from sklearn.metrics import jaccard_similarity_score, f1_score, log_loss ImportError: cannot import name 'jaccard_similarity_score' from 'sklearn.metrics' (/opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages/sklearn/metrics/init.py) Tried !pip install scikit-learn==0.22 & !conda install scikit-learn=0.22 but I still get the same error. @OllyK

Did u find a solution?

Importing jaccard_score rather than jaccard_similarity_score seems to work for me

[BekBrace]

Using Jupyter Notebook (Python 3.7)

# Evaluation Metrices
from sklearn.metrics import jaccard_similarity_score, f1_score, log_loss

ImportError Traceback (most recent call last) in 1 # Evaluation Metrices ----> 2 from sklearn.metrics import jaccard_similarity_score, f1_score, log_loss ImportError: cannot import name 'jaccard_similarity_score' from 'sklearn.metrics' (/opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages/sklearn/metrics/init.py) Tried !pip install scikit-learn==0.22 & !conda install scikit-learn=0.22 but I still get the same error. @OllyK

Did u find a solution?

Hi there! Yes, do not import jaccad_similarity_score, instead import jaccard_score And it will work. I have a machine learning video where I import only jaccard_score, and it's working perfectly, check it out : https://www.youtube.com/watch?v=zIsk5fN0aSs&t=1064s [minute 3:15]

[mridulrb]

Using Jupyter Notebook (Python 3.7)

# Evaluation Metrices
from sklearn.metrics import jaccard_similarity_score, f1_score, log_loss

ImportError Traceback (most recent call last) in 1 # Evaluation Metrices ----> 2 from sklearn.metrics import jaccard_similarity_score, f1_score, log_loss ImportError: cannot import name 'jaccard_similarity_score' from 'sklearn.metrics' (/opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages/sklearn/metrics/init.py) Tried !pip install scikit-learn==0.22 & !conda install scikit-learn=0.22 but I still get the same error. @OllyK

Did u find a solution?

Hi,

I found the solution - https://github.com/DiamondLightSource/SuRVoS/issues/103#issuecomment-731122304

[Sharath-prsnl]

jaccard_score solves the problem of syntax error but, it produces a different value than that of jaccard_similarity_score. Can anyone suggest what are the parameters that are needed to be tuned in jaccard_score() to get those values which are obtained by using jaccard_similarity_score.

[Saanidhyavats]

This link might help(downgrade to 0.22 version): https://www.gitmemory.com/issue/DiamondLightSource/SuRVoS/103/638711139 . For me this is working

[husainritonga]

Update from sklearn.metrics import jaccard_similarity_score needs to be replaced by from sklearn.metrics import jaccard_score and new parameter pos_label is required, for e.g. - jaccard_score(y_test, dt_yhat,pos_label = "PAIDOFF"). Valid labels for pos_label are: array(['COLLECTION', 'PAIDOFF'], dtype='<U10')

Hi, could you explain me, I am confused here. I got different jaccard_score when using pos_label = 'PAIDOFF' and using pos_label = 'COLLECTION' Thanks

[abo3abed2]

from sklearn.metrics import jaccard_score

can you explain more about pos_label replacement ? thank you

[Brita-Inteligencia-Artificial]

puedes resolverlo usando from sklearn.metrics import jaccard_score print(jaccard_score(y_test, yhat, average='macro'))

Te invito a que busques en la documentacion oficial https://scikit-learn.org/stable/modules/generated/sklearn.metrics.jaccard_score.html Saludos!

[taeefnajib]

I had to replace jaccard_similarity_score with jaccard_score and add pos_label="PAIDOFF" jaccard_score(test_y, LR_yhat, pos_label="PAIDOFF") As you can see here, the last version of scikit-learn replaced jaccard_similarity_score with jaccard_score https://scikit-learn.org/stable/modules/generated/sklearn.metrics.jaccard_score.html