semvec/pypi-packages huggingface dataset:
zpy-alert-manager 0.1.0
Básic module for delivery alerts
Requires Python: >=3.12

<p align="center">
  <a  href="https://github.com/NoeCruzMW/zpy-flask-msc-docs"><img width="150" src="https://lh3.googleusercontent.com/a-/AOh14GjLO5qYYR5nQl5hgavUKz4Dv3LVzWDvGtV4xNam=s600-k-no-rp-mo" alt="Zurck'z"></a>
</p>
<p align="center">
    <em>ZPy Telegram Alert Notifier</em>
</p>
<p align="center"></p>

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# ZPy Alert Manager

> Zurck'z Py Telegram Bot Alert Notifier

This package contains some helpers features for build python microservices.

## Requirements

- Python 3.9+

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install py flask micro service core .

```bash
pip install zpy-api-core
```

## Features

Contains some helper features.

- Telegram Bot Manager
  - Send message to specific chat

## Basic Usage

```python
notifier = TelegramBot(data={})
notifier.send('Hello',"12121")
```

## Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

## License

[MIT](https://choosealicense.com/licenses/mit/)

## Authors

[Noé Cruz](https://www.linkedin.com/in/zurckz/)
t2r2 0.0.1
T2R2: train, test, record, repeat: incremental environment for AI model training
Requires Python: >=3.9

# T2R2: Train, test, record, repeat - incremental environment for testing AI models

[![Open in Dev Containers](https://img.shields.io/static/v1?label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode)](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/radswn/t2r2)

## Description

*TODO*

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## Quick start

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### Basic training loop

*TODO*

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### Implement your own selector

We give you an opportunity to use your own selectors.

1. Prepare a class you want to use - it should inherit from `Selector` class from `t2r2.selector`. Implement its `select` method.
2. When declarating your own selector - provide `module_path` as one of the arguments.

Below we present a simple example how to do it.

`config.yaml` part

```yaml
  selectors:
    - name: UserSelector
      args: 
        module_path: ./my_selector.py
```

`my_selector.py` code

```python
import pandas as pd
from t2r2.selector import Selector

class UserSelector(Selector):
    def select(self, dataset: pd.DataFrame) -> pd.DataFrame:
        return dataset[:5]
```

### Curriculum learning

To force specific order in which examples will be passed during training:
```yaml
training:
  curriculum_learning: True
```
Then you also need to provide the `order` column in your training data.

Basically, the examples will be _sorted_ according to order column and won't be shuffled.

You can also use the custom selector to dynamically provide the order of your training examples.
For example, to pass examples in the order of increasing lenght of text:
```python
class ClSelector(Selector):
    def select(self, dataset: pd.DataFrame) -> pd.DataFrame:
        dataset["order"] = [len(i) for i in dataset["text"]]
        return dataset
```

---