disarray | Confusion matrix metrics directly from your pandas | Machine Learning library

by arvkevi Python Version: 0.2.0 License: MIT

X-Ray Key Features Code Snippets(3)Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | disarray Summary

disarray is a Python library typically used in Artificial Intelligence, Machine Learning, Pandas applications. disarray has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install disarray' or download it from GitHub, PyPI.

disarray calculates metrics derived from a confusion matrix and makes them directly accessible from a pandas DataFrame.

Support

Quality

Security

License

Reuse

Support

disarray has a low active ecosystem.

It has 15 star(s) with 3 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 43 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of disarray is 0.2.0

Quality

disarray has 0 bugs and 0 code smells.

Security

disarray has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

disarray code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

disarray is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

disarray releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

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disarray Key Features

No Key Features are available at this moment for disarray.

disarray Examples and Code Snippets

disarray,Usage,Multi-Class Classification

Python

Lines of Code : 26

License : Permissive (MIT)

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# load the iris dataset
iris = datasets.load_iris()
X = iris.data
y = iris.target
class_names = iris.target_names
# split the training and testing data
X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)
# train and fit a SVM
cl

disarray,Usage,Binary Classification

Python

Lines of Code : 22

License : Permissive (MIT)

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from sklearn import svm, datasets
from sklearn.model_selection import train_test_split
from sklearn.metrics import confusion_matrix
# Generate a random binary classification dataset
X, y = datasets.make_classification(n_classes=2, random_state=42)
X_

disarray,Usage,Supported Metrics

Python

Lines of Code : 13

License : Permissive (MIT)

Copy

'accuracy',
'f1',
'false_discovery_rate',
'false_negative_rate',
'false_positive_rate',
'negative_predictive_value',
'positive_predictive_value',
'precision',
'recall',
'sensitivity',
'specificity',
'true_negative_rate',
'true_positive_rate',

Community Discussions

Trending Discussions on disarray

How do I create checkerboard with set heigt

Pandas, most efficient way to apply a two functions on entire row

SOLVED: I get an error when trying to use threading with GTK & Pycairo (to draw a window and signal it from another thread)

QUESTION

How do I create checkerboard with set heigt

Asked 2021-Mar-09 at 13:21

so I have created a checker board that's 4x4 in JS, but I want to make it 4x5(5 being the width) using Java. but whenever I add squares they go the bottom when I want them to go to the side, and I think the css is the issue here, so if you could tell me what css I should use for this that would be great.

This is my css:

...

ANSWER

Answered 2021-Mar-09 at 13:21

You have set it to be 4 columns. Change the grid template from columns to rows

Source https://stackoverflow.com/questions/66546731

QUESTION

Pandas, most efficient way to apply a two functions on entire row

Asked 2020-Nov-03 at 09:25

I have the following DataFrame:

...

ANSWER

Answered 2020-Nov-03 at 09:25

You need to pass in the rows to the apply-function. Try this:

Source https://stackoverflow.com/questions/64659356

QUESTION

SOLVED: I get an error when trying to use threading with GTK & Pycairo (to draw a window and signal it from another thread)

Asked 2020-Apr-07 at 10:10

SOLUTION

Remove the channel and associated code
Add a new update function inside the window class which takes the new shapes as a parameter
modify the initialisation of the class
call the update function

Modifications for the solution

Apologies, but the diff markdown doesn't seem to be displaying properly, hopefully you should still get an idea of how the solution works

Window class ...

ANSWER

Answered 2020-Mar-22 at 18:46

About your assumptions:

It is unclear if your channel object is possible to safely access from two threads.
The signal handler is executed in the thread that emits the signal.

My guess would be that it is the fact that you emit the signal from another thread that causes the issue.

You can solve this by using GLib.idle_add(your_update_func). Instead of calling your_update_func directly, a request is added to the Gtk main loop, which executes it when there are no more events to process, preventing any threading issues.

Source https://stackoverflow.com/questions/60795154

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

Vulnerabilities

No vulnerabilities reported

Install disarray

You can install using 'pip install disarray' or download it from GitHub, PyPI.
You can use disarray 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.