semvec/pypi-packages huggingface dataset:
converge-load-forecast 0.0.1
Residential electricity forecasting and disaggregation module

# Introuction

In this repository, you can find the functions required for load forecasting in the Converge project. 

This repository contains the following forecasting methods:

* A forecasting approach, using the **skforecast** library, that is based on a [Recursive multi-step forecasting](https://joaquinamatrodrigo.github.io/skforecast/0.4.3/quick-start/introduction-forecasting.html#recursive-multi-step-forecasting) algorithm. This implementation outputs a forecasted value for aggregated solar generation and demand for a desired number of days with a granularity of 30 minutes for each *nmi*.

* A forecasting approach, using the **skforecast** library, that is based on a [Prediction intervals](https://joaquinamatrodrigo.github.io/skforecast/0.4.3/notebooks/prediction-intervals.html)(A prediction interval defines the interval within which the true value of a time-series variable can be expected to be found with a given probability) algorithm. This implementation outputs probabilitic values of expected value, upper bound and lower for aggregated solar generation and demand for a desired number of days with a granularity of 30 minutes for each *nmi*.
postman_api 3.0.0
Postman client, generated from the OpenAPI spec.
Requires Python: >=3.7

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Postman client, generated from the OpenAPI spec.

# Usage

```python
import os
from postman_api import AsyncPostmanClient
from postman_api import PostmanClient

def main():
    client = PostmanClient.from_env()
    response = client.get_all_apis()
    print(f"{response!r}")

async def async_main():
    client = AsyncPostmanClient.from_env()
    response = await client.get_all_apis()
    print(f"{response!r}")


if __name__ == "__main__":
    if os.environ.get("ASYNC"):
        import asyncio
        asyncio.run(async_main())
    else:
        main()


```

This example loads configuration from environment variables, specifically:

* `POSTMAN_API_KEY`





# Documentation


* [API Documentation](https://www.postman.com/postman/workspace/postman-public-workspace/documentation/12959542-c8142d51-e97c-46b6-bd77-52bb66712c9a)



You can see working examples of every API call in the `examples/` directory.

# Contributing

Contributions are welcome!

*Library created with [Libninja](https://www.libninja.com).*
EasyDataSetToBOP 1.0.2
Convert Dataset from EasyDatasetGenerator to BOP Dataset
Requires Python: >=3.9

# EasyDatasetToBOP
Convert Datasets from the EasyDatasetGenerator to BOP Dataset Format

## Install
```
pip install easydatasettobop
```

## Usage
```
python -m easydatasettobop <path-to-easydataset-generator-root> -e <3d-file-format>
```
#### To visualize the dataset use:
```
python -m easydatasettobop <path-to-bop-train-set> -v
```

## Tips
If you use another 3D model file for creating the bop dataset, it must have the same name as the gltf file for the EasyDatasetGenerator
py-simple-lorem 0.0.1
Simple, compressed Lorem Ipsum generator. Get a different output each time.
Requires Python: >=3.8

# py_simple_lorem 0.0.1<a name="mark0"></a>

***Simple, compressed Lorem Ipsum generator. Get a different output each time.***

![lorem](https://raw.githubusercontent.com/AndrewSpangler/py_simple_lorem/main/lorem.png)

---

- [About](#mark1)
	- [Installation](#mark2)
- [Command Line Usage](#mark3)
- [Module Usage](#mark4)

---

# About<a name="mark1"></a>[^](#mark0)

This module provides a single function `lorem` that produces Lorem Ipsum. py_simple_lorem.py contains a large amount of Lorem Ipsum stored in a compressed format.

## Installation<a name="mark2"></a>[^](#mark1)

Available on pip - `pip install py_simple_lorem`

# Command Line Usage<a name="mark3"></a>[^](#mark0)

Command line usage is simple. Run py_simple_lorem.py without arguments for one paragraph or pass an integer for the appropriate number of paragraphs.

# Module Usage<a name="mark4"></a>[^](#mark0)

Module usage is simple. Import lorem from py_simple_lorem.py and call `lorem(COUNT)` to get a string containing *COUNT* entries