semvec/pypi-packages huggingface dataset:
CountEst 0.1.0
CountEst is a module containing the implementation of count-based estimators, i.e., supervised learning algorithms that make predictions based on the frequency or count of specific events, categories, or values within a dataset.
Requires Python: >=3.9
Keywords: supervised learning,machine learning,count-based classifier

# CountEst

CountEst is a Python module containing the implementation of count-based estimators, i.e., supervised learning algorithms that make predictions based on the frequency or count of specific events, categories, or values within a dataset. These estimators operate under the assumption that the distribution of counts or frequencies provides valuable information for making predictions or inferences.

Currently, we have implemented count-based classifier for categorical data. It operates by learning the distribution of category counts (i.e. the number of occurrences or frequency of each distinct category within a specific feature) within each class during the training phase. It then predicts class probabilities for unseen data based on the observed counts of categories within each feature, employing a voting mechanism to handle ties. 

## Installation Dependencies

countlib requires:

- Python (>= 3.9)
- NumPy (>= 1.5)
- Pandas (>= 1.1.5)
- Scikit-Learn

## Development

This project is currently in its early stages. We're actively building and shaping it, and we welcome contributions from everyone, regardless of experience level. If you're interested in getting involved, we encourage you to explore the project and see where you can contribute! For specific contribution guidelines, visit our [GitHub page](https://github.com/sanskriti-02/CountEst).
certcloner 2024.3.11
Clones certificates with keys you control
Requires Python: >=3.10

# certcloner

[![PyPI - Version](https://img.shields.io/pypi/v/certcloner.svg)](https://pypi.org/project/certcloner)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/certcloner.svg)](https://pypi.org/project/certcloner)

-----

So you need to create some test data for something that is signed with a certificate? Then you need to create your own certificate, preferably with a full chain, as similar to the original as possible. You could always fire up `step-ca` or something similar, but why not just clone the original chain, so that everything is as close to the real thing as possible?

Certcloner lets you do just that. Give it some certificates, and it will create clones with a private key that you control.

Limitations:

* Subject and Authority Key Identifiers will, by default, be updated, but stuff like SCT and CRL/AIA urls will not be.
* Only RSA and ECC keys are supported.

## Installation

You probably want to install this using `pipx`:

```console
pipx install certcloner
```

Or, you can install it with plain pip:

```console
pip install certcloner
```


## Usage

Just point certcloner to one or several files with certificates, in either PEM or DER format:

```console
certcloner ./mycert1.pem ./mycert2.crt ./mychain.pem
```

It will load all certificates, and output copies (plus the corresponding private key) to standard out.

Advanced usage:

```
Usage: certcloner [OPTIONS] [FILES]...

Options:
  --version               Show the version and exit.
  --no-comment            Do not include a comment in the finished certs.
  --keep-key-identifiers  Keep the original key identifiers in the finished
                          certs.
  -h, --help              Show this message and exit.
```

## License

`certcloner` is distributed under the terms of the [MIT](https://spdx.org/licenses/MIT.html) license.
AletheiaPy 0.0.5
AletheiaPy is a Python wrapper of Aletheia API, which provides access to financial data.

# AletheiaPy

AletheiaPy is a Python wrapper of [Aletheia API](https://aletheiaapi.com/), which provides access to financial data.

[![Downloads](https://static.pepy.tech/badge/aletheiapy)](https://pypi.org/project/AletheiaPy/)
[![Downloads](https://static.pepy.tech/badge/aletheiapy/month)](https://pypi.org/project/AletheiaPy/)


## Installation

Run the following to install:

```python
pip install AletheiaPy
```

## Usage

Note that an API key is required to use the client. AletheiaPy essentially follows [Aletheia API's usage](https://aletheiaapi.com/docs/). Note that AletheiaPy currently supports GET requests only.

```python
from Aletheia import Client

# Initialize Client
key = "333acb16de254844ab64783232d2ba66" # Example from Aletheia's website
theia = Client(key)

# Get a stock summary for a security
theia.StockData("FB")
```