semvec/pypi-packages huggingface dataset:
event-study-test 0.0.18
A package for conducting event studies
Requires Python: >=3.7

# Event Study

event-study is a package designed for economists and researchers to conduct an event study pertaining to stocks and bonds. 

## Overview

Leveraging the Pandas functionality, this package allows one to design an event study and calculate relevent statistics regarding the study. Moreover, this package provides access to multiple different statistical tests, both parametric and nonparametric.

The event-study package supports the following expected return models as a default: Market, CAPM, and Fama-French 3-Factor. In addition, it provides the functionality for researcher to input any model they wish. See examples in the Quick Start section below.

To learn more about event studies, please see the excellent resource by the folks at [Eventstudytools](https://www.eventstudytools.com/introduction-event-study-methodology)
what-the-face-classification 0.0.27
CNN image classification trained on FER2013 for the 7 emotion categories.
Requires Python: >=3.7

This package was created as a part of Talentsprint and Techwise program by James Rodgers of team "What The Face". It uses a pytorch CNN network trained on FER2013 and CK+ images to classify an image passed into it. 

Initialize class and pass a jpg PIL image to the predict() method.

classes:
    Image_classifier()
        returns self

functions:
    predict(image)
        returns [classified_name: str, probability: double]

        Exceptions for predict:
            If the face detection fails and the probability of a category is low it will return:
                returns ['no face detected', '0'] 

Example:

from PIL import Image
from what_the_face_classification.inference import Image_classifier

classifier = Image_classifier()
image = Image.open(test.jpg)

prediction = classifier(image)

print(prediction)


<!-- haarcascade_frontalface_default.xml
    Stump-based 24x24 discrete(?) adaboost frontal face detector.
    Created by Rainer Lienhart.

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  If you do not agree to this license, do not download, install,
  copy or use the software.


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