semvec/pypi-packages huggingface dataset:
topsis-Gurpreet-Singh-101803019 0.1
A Python package implementing TOPSIS technique.
License: MIT

# Topsis_Gurpreet_101803019
This is a python package used to implement TOPSIS(Technique of Order Preference Similarity to the Ideal Solution) for MCDA(Multiple criteria decision analysis)

<br>

## How to use this package:

pip install topsis-Gurpreet-Singh-101803019==0.0.1

### In Command Prompt
```
>> topsispy data.csv "1,1,1,1" "+,+,-,+" out.csv
```
## Sample dataset

Model | Correlation | R<sup>2</sup> | RMSE | Accuracy
------------ | ------------- | ------------ | ------------- | ------------
M1 |	0.79 | 0.62	| 1.25 | 60.89
M2 |  0.66 | 0.44	| 2.89 | 63.07
M3 |	0.56 | 0.31	| 1.57 | 62.87
M4 |	0.82 | 0.67	| 2.68 | 70.19
M5 |	0.75 | 0.56	| 1.3	 | 80.39

## Output
This will be in our Output csv file
Model | Correlation | R<sup>2</sup> | RMSE | Accuracy | TOPSIS SCORE | Rank
------------ | ------------- | ------------ | ------------- | ------------ | ------------ | ------------
M1 |	0.79 | 0.62	| 1.25 | 60.89 | 0.77 | 2.0
M2 |  0.66 | 0.44	| 2.89 | 63.07 | 0.23 | 5.0
M3 |	0.56 | 0.31	| 1.57 | 62.87 | 0.44 | 4.0
M4 |	0.82 | 0.67	| 2.68 | 70.19 | 0.52 | 3.0
M5 |	0.75 | 0.56	| 1.3	 | 80.39 | 0.81 | 1.0
napari-brainreg 0.2.3
Visualise brainreg registration output
License: MIT
Requires Python: >=3.6

# napari-brainreg

[![License](https://img.shields.io/pypi/l/napari-brainreg.svg?color=green)](https://github.com/brainglobe/napari-brainreg/raw/master/LICENSE)
[![PyPI](https://img.shields.io/pypi/v/napari-brainreg.svg?color=green)](https://pypi.org/project/napari-brainreg)
[![Python Version](https://img.shields.io/pypi/pyversions/napari-brainreg.svg?color=green)](https://python.org)
[![tests](https://github.com/brainglobe/napari-brainreg/workflows/tests/badge.svg)](https://github.com/brainglobe/napari-brainreg/actions)
[![Development Status](https://img.shields.io/pypi/status/napari-brainreg.svg)](https://github.com/brainglobe/napari-brainreg)
[![codecov](https://codecov.io/gh/brainglobe/napari-brainreg/branch/master/graph/badge.svg)](https://codecov.io/gh/brainglobe/napari-brainreg)
[![Gitter](https://badges.gitter.im/cellfinder/brainreg.svg)](https://gitter.im/cellfinder/brainreg?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)

Visualise [brainreg](https://github.com/brainglobe/brainreg) registration output in [napari](https://github.com/napari/napari)

Based on the [napari cookiecutter plugin template](https://github.com/napari/cookiecutter-napari-plugin) and [napari-ndtiffs](https://github.com/tlambert03/napari-ndtiffs) by [@tlambert03](https://github.com/tlambert03)

----------------------------------

## Installation
Assuming you already have [napari](https://github.com/napari/napari) installed, you can install `napari-brainreg` via pip:

    pip install napari-brainreg

## Usage
#### Sample space
Open napari and drag your [brainreg](https://github.com/brainglobe/brainreg) output directory (the one with the log file) onto the napari window.
    
Various images should then open, including:
* `Registered image` - the image used for registration, downsampled to atlas resolution
* `atlas_name` - e.g. `allen_mouse_25um` the atlas labels, warped to your sample brain
* `Boundaries` - the boundaries of the atlas regions

If you downsampled additional channels, these will also be loaded.

Most of these images will not be visible by default. Click the little eye icon to toggle visibility.

_N.B. If you use a high resolution atlas (such as `allen_mouse_10um`), then the files can take a little while to load._

![sample_space](https://raw.githubusercontent.com/brainglobe/napari-brainreg/master/resources/sample_space.gif)


#### Atlas space
`napari-brainreg` also comes with an additional plugin, for visualising your data 
in atlas space. 

This is typically only used in other software, but you can enable it yourself:
* Open napari
* Navigate to `Plugins` -> `Plugin Call Order`
* In the `Plugin Sorter` window, select `napari_get_reader` from the `select hook...` dropdown box
* Drag `brainreg_standard` (the atlas space viewer plugin) above `brainreg` (the normal plugin) to ensure that the atlas space plugin is used preferentially.

![atlas_space](https://raw.githubusercontent.com/brainglobe/napari-brainreg/master/resources/atlas_space.gif)