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jupyter | Jupyter metapackage for installation, docs and chat | Data Visualization library

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kandi X-RAY | jupyter Summary

jupyter is a Python library typically used in Analytics, Data Visualization, Jupyter applications. jupyter has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can download it from GitHub.
Jupyter metapackage for installation and docs.

kandi-support Support

  • jupyter has a highly active ecosystem.
  • It has 12379 star(s) with 3212 fork(s). There are 684 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 179 open issues and 173 have been closed. On average issues are closed in 42 days. There are 6 open pull requests and 0 closed requests.
  • It has a negative sentiment in the developer community.
  • The latest version of jupyter is current.

quality kandi Quality

  • jupyter has 0 bugs and 0 code smells.

securitySecurity

  • jupyter has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • jupyter code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.

license License

  • jupyter is licensed under the BSD-3-Clause License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.

buildReuse

  • jupyter releases are not available. You will need to build from source code and install.
  • Build file is available. You can build the component from source.
  • Installation instructions are not available. Examples and code snippets are available.
  • jupyter saves you 56 person hours of effort in developing the same functionality from scratch.
  • It has 213 lines of code, 3 functions and 5 files.
  • It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA

kandi has reviewed jupyter and discovered the below as its top functions. This is intended to give you an instant insight into jupyter implemented functionality, and help decide if they suit your requirements.

  • Run Sphinx docs .
  • Install Sphinx docs .
  • Register custom CSS files .

jupyter Key Features

Jupyter metapackage for installation, docs and chat

jupyter Examples and Code Snippets

  • Running the docs locally
  • Compute class weight function issue in 'sklearn' library when used in 'Keras' classification (Python 3.8, only in VS code)
  • How to Export Jupyter Notebook by VSCode in PDF format? (Windows 10)
  • How to undo/redo changes inside the selected cell in Jupyter notebook?
  • "Attempting to perform BLAS operation using StreamExecutor without BLAS support" error occurs
  • Running cells with Python 3.10 requires ipykernel installed
  • ipykernel (Jupyter notebook/labs) cannot import name ''filefind" from traitlets.utils
  • lfortran in a jupyter notebook kills kernel
  • Pandas - How to Save A Styled Dataframe to Image
  • embedding jupyter notebook/ google colab in Django app
  • JupyterLab Notebook cells going missing

Running the docs locally

conda env create -f environment.yml  

Community Discussions

Trending Discussions on jupyter
  • Compute class weight function issue in 'sklearn' library when used in 'Keras' classification (Python 3.8, only in VS code)
  • How to Export Jupyter Notebook by VSCode in PDF format? (Windows 10)
  • How to undo/redo changes inside the selected cell in Jupyter notebook?
  • iPyKernel throwing "TypeError: object NoneType can't be used in 'await' expression"
  • "Attempting to perform BLAS operation using StreamExecutor without BLAS support" error occurs
  • Running cells with Python 3.10 requires ipykernel installed
  • ipykernel (Jupyter notebook/labs) cannot import name ''filefind" from traitlets.utils
  • lfortran in a jupyter notebook kills kernel
  • Pandas - How to Save A Styled Dataframe to Image
  • embedding jupyter notebook/ google colab in Django app
Trending Discussions on jupyter

QUESTION

Compute class weight function issue in 'sklearn' library when used in 'Keras' classification (Python 3.8, only in VS code)

Asked 2022-Mar-27 at 23:14

The classifier script I wrote is working fine and recently added weight balancing to the fitting. Since I added the weight estimate function using 'sklearn' library I get the following error :

compute_class_weight() takes 1 positional argument but 3 were given

This error does not make sense per documentation. The script should have three inputs but not sure why it says expecting only one variable. Full error and code information is shown below. Apparently, this is failing only in VS code. I tested in the Jupyter notebook and working fine. So it seems an issue with VS code compiler. Any one notice? ( I am using Python 3.8 with other latest other libraries)

from sklearn.utils import compute_class_weight

train_classes = train_generator.classes

class_weights = compute_class_weight(
                                        "balanced",
                                        np.unique(train_classes),
                                        train_classes                                                    
                                    )
class_weights = dict(zip(np.unique(train_classes), class_weights)),
class_weights

In Jupyter Notebook,

enter image description here

enter image description here

ANSWER

Answered 2022-Mar-27 at 23:14

After spending a lot of time, this is how I fixed it. I still don't know why but when the code is modified as follows, it works fine. I got the idea after seeing this solution for a similar but slightly different issue.

class_weights = compute_class_weight(
                                        class_weight = "balanced",
                                        classes = np.unique(train_classes),
                                        y = train_classes                                                    
                                    )
class_weights = dict(zip(np.unique(train_classes), class_weights))
class_weights

Source https://stackoverflow.com/questions/69783897

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install jupyter

You can download it from GitHub.
You can use jupyter like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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