notebook | Jupyter Interactive Notebook | Widget library

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kandi X-RAY | notebook Summary

notebook is a Jupyter Notebook library typically used in Telecommunications, Media, Advertising, Marketing, User Interface, Widget, Jupyter, Pandas applications. notebook has no bugs, it has no vulnerabilities and it has medium support. However notebook has a Non-SPDX License. You can download it from GitHub.

The Jupyter notebook is a web-based notebook environment for interactive computing.

kandi-support Support

notebook has a medium active ecosystem.
It has 8966 star(s) with 3748 fork(s). There are 314 watchers for this library.
There were 5 major release(s) in the last 6 months.
There are 2014 open issues and 2357 have been closed. On average issues are closed in 375 days. There are 48 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of notebook is v7.0.0a2

quality kandi Quality

notebook has 0 bugs and 0 code smells.

security Security

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

license License

notebook has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

build Reuse

notebook releases are available to install and integrate.
Installation instructions, examples and code snippets are available.
notebook saves you 9168 person hours of effort in developing the same functionality from scratch.
It has 18747 lines of code, 1333 functions and 328 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.

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notebook Key Features

Jupyter Interactive Notebook

notebook Examples and Code Snippets

Installation
Running in a local installation
Compute class weight function issue in 'sklearn' library when used in 'Keras' classification (Python 3.8, only in VS code)
Conflicting Python versions in SageMaker Studio notebook with Python 3.8 kernel
How to undo/redo changes inside the selected cell in Jupyter notebook?
How to get console output and plot side by side in a R Notebook?
Pandas - How to Save A Styled Dataframe to Image
embedding jupyter notebook/ google colab in Django app
JupyterLab Notebook cells going missing
html inline style not applying in Jupyter notebook cells anymore
How can I update Google Colab's Python version?
How to calculate correlation coefficients using sklearn CCA module?

Installation

$ pip install notebook

Community Discussions

Trending Discussions on notebook

Compute class weight function issue in 'sklearn' library when used in 'Keras' classification (Python 3.8, only in VS code)
Conflicting Python versions in SageMaker Studio notebook with Python 3.8 kernel
How to undo/redo changes inside the selected cell in Jupyter notebook?
iPyKernel throwing "TypeError: object NoneType can't be used in 'await' expression"
NoSuchMethodError on com.fasterxml.jackson.dataformat.xml.XmlMapper.coercionConfigDefaults()
How to get console output and plot side by side in a R Notebook?
Pandas - How to Save A Styled Dataframe to Image
embedding jupyter notebook/ google colab in Django app
JupyterLab Notebook cells going missing
html inline style not applying in Jupyter notebook cells anymore

Trending Discussions on notebook

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,

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 notebook

You can find the installation documentation for the Jupyter platform, on ReadTheDocs. The documentation for advanced usage of Jupyter notebook can be found here.
See CONTRIBUTING.rst for how to set up a local development installation.