semvec/pypi-packages huggingface dataset:
hindi-wsd 1.0.1
A pipeline for transliteration of hinglish code mixed data to hindi along with spell correction and word sense disambiguation of hindi words.
Requires Python: >=3.6
Keywords: nlp,machine learning,spell correction,IndoWordNet,Hindi,Hinglish code mixed to Hindi transliteration

# Hinglish-Hindi-WSD

A pipeline for transliteration, spell correction and word sense disambiguation of Hinglish code mixed data to Hindi Devanagari script.
pyqt6-forms 0.3.0
Forms for PyQt6
Requires Python: >=3.10

# pyqt6-forms

How to install:
<p> 
<pre>
<code>
pip install pyqt6_forms
pip3 install pyqt6_forms
</code>
</pre>
</p>

How to use:
<p> 
<pre>
<code>
from pyqt6_forms.forms import QLineEditForm
....
form = QLineEditForm(form_name='username', parent=QWidget |QHBoxLayout)
...
user_input_username = form.get_value()
</code>
</pre>


# Road map (What will be added)
<p> 
    <h4>0.3.0</h4>
    <ul>
        <li> Forms:
         <ol> 
            <li> QFloatSpinBoxForm  </li>
            <li> QSubmitButtonForm  </li>
            <li> QTextAreaForm      </li>
         </ol>
        </li>
    </ul>
</p>
model-performance 0.0.2
Model Analysis and Performance Package
Keywords: python,model performance

# Model Performance

# Introduction

This package calculates model performance metrics and confusion metrics at decile level of prediciton. Instead of calculating
the model performance at default probability cut-off of 0.5, this function divides prediction in 10 equal buckets and for each bucket
provides the model performance.

# Input

The function "conf_matrix" requires an input dataset name, the prediction feature name and the target feature name

# Results

decile_pred - Deciles of predictions.
cnt - Count of observations in each decile.
max_pred - Maximum probablity in each decile.
resp - Actual sum of target in each decile.
non_resp - Actual sum of non-target in each decile.
cumresp - Actual cumulative sum of target in each decile.
cumcnt - Cumulative count of observations in each decile.
resp_rate - Target rate of each decile.
lift - Lift in target rate of each decile. ex - By targeting top 20% customers we achieve 4x lift than random targeting.
tp - True positive at each decile cut-off.
fp - False positive at each decile cut-off.
tn - True negative at each decile cut-off.
fn - False negative at each decile cut-off.
precision - Precision at each decile cut-off.
recall - Recall at each decile cut-off.
fscore - Fscore at each decile cut-off.
ks - Maximum separation between target and non-target at each decile.

# Contact
Mrinal Shankar (https://github.com/mrinal-shankar)
galtopy 0.0.10
Efficient implmenetations of instantiations of the Trinity of Interaction.
Requires Python: >=3.6

# GaltoPy
The GaltoPy library provides scientific functions that are developed from the metaphor of the Trinity of Interaction.

Supervisory Committee Members

- Supervisor: [Dr. Alex Aravind](https://web.unbc.ca/~csalex/) ([Department of Computer Science](https://www2.unbc.ca/computer-science))
- Interim Supervisor: [Dr. Edward Dobrowolski](https://www2.unbc.ca/people/dobrowolski-dr-edward) ([Department of Mathematics and Statistics, UNBC](https://www2.unbc.ca/math-statistics))
- Committee Member: [Dr. Brent Murray](https://www2.unbc.ca/people/murray-dr-brent) ([Department of Biology, UNBC](https://www2.unbc.ca/biology))
- Committee Member: [Dr. Mohammad El Smaily](https://smaily.opened.ca/) ([Department of Mathematics and Statistics, UNBC](https://www2.unbc.ca/math-statistics))
- External Examiner: TBA

The code in this repository is intended to support researchers analyzing multivariate data.

For questions and comments contact the developer directly at: <seilis@unbc.ca>

This package is name after Sir Francis Galton whose intuitive thinking was pivotal in motivating the notion of statistical correlation. While Francis Galton had a tabular method of calculating correlation, and Auguste Bravais had previously developed an equivalent calculation before, it was Karl Pearson who formulated the product-moment correlation coefficient that bears his name.