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I encountered an error while installing the PyCaret package .

ERROR: numba 0.54.1 has requirement numpy<1.21,>=1.17, but you'll have numpy 1.22.4 which is incompatible.
ERROR: imageio 2.21.1 has requirement pillow>=8.3.2, but you'll have pillow 7.0.0 which is incompatible.
ERROR: shap 0.41.0 has requirement packaging>20.9, but you'll have packaging 20.3 which is incompatible.
ERROR: flask-simplelogin 0.1.1 has requirement click<9.0.0,>=8.0.1, but you'll have click 7.0 which is incompatible.
ERROR: explainerdashboard 0.4.0 has requirement scikit-learn>=1.1, but you'll have scikit-learn 0.23.2 which is incompatible.
ERROR: bokeh 2.4.3 has requirement pillow>=7.1.0, but you'll have pillow 7.0.0 which is incompatible.
ERROR: holoviews 1.15.0 has requirement panel>=0.13.1, but you'll have panel 0.12.7 which is incompatible.
ERROR: tensorboardx 2.5.1 has requirement protobuf<=3.20.1,>=3.8.0, but you'll have protobuf 4.21.5 which is incompatible.
ERROR: ray 1.13.0 has requirement protobuf<4.0.0,>=3.15.3, but you'll have protobuf 4.21.5 which is incompatible.
ERROR: evidently 0.1.56.dev0 has requirement scikit-learn>=0.24.0, but you'll have scikit-learn 0.23.2 which is incompatible.

When I was trying to run an example to train a data set , the code

# compare all models
best = compare_models()

returned nothing including any error. Kindly advise as to how this version anomaly can be corrected.

user1738234
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1 Answers1

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I think you're doing something wrong. Installation of PyCaret is generally straightforward. Simply:

pip install pycaret

And if you are using Google Colab IDE:

!pip install pycaret

Other than this, the error can be related to scikit-learn, notice the error in your post:

ERROR: explainerdashboard 0.4.0 has requirement scikit-learn>=1.1, but you'll have scikit-learn 0.23.2 which is incompatible.

Here is some info from this link: https://scikit-learn.org/stable/install.html

Warning: Scikit-learn 0.20 was the last version to support Python 2.7 and Python 3.4. Scikit-learn 0.21 supported Python 3.5-3.7. Scikit-learn 0.22 supported Python 3.5-3.8. Scikit-learn 0.23 - 0.24 require Python 3.6 or newer. Scikit-learn 1.0 supported Python 3.7-3.10. Scikit-learn 1.1 and later requires Python 3.8 or newer.

You can use this code:

pip install scikit-learn==1.1.3

And for Google Colab IDE:

!pip install scikit-learn==1.1.3

When using pip install, use scikit-learn, not sklearn.

You had better follow one of the tutorials below which you can find here:

https://pycaret.gitbook.io/docs/get-started/tutorials

Binary Classification Multiclass Classification

Regression Clustering

Anomaly Detection Natural Language Processing

Association Rules Time Series Forecasting

You can also use Google Colab IDE, in your chrome browser, by entering https://colab.research.google.com/

Alper Yilmaz
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