semvec/pypi-packages huggingface dataset:
ceemdan-seglstm-gradient-boost 0.1.0
CEEMDAN-LSTM-GradientBoosting model for state-of-the-art time series forecasting
Requires Python: >=3.7

# CEEMDAN-LSTM-GradientBoosting

A state-of-the-art time series forecasting model combining CEEMDAN decomposition, LSTM neural networks, and Gradient Boosting.

## Installation

You can install the package using pip:

```
pip install ceemdan_seglstm_gradient_boost
```

## Usage

Here's a basic example of how to use the package:

```python
from ceemdan_seglstm_gradient_boost import Model, Dataset_ETT_hour

# Load your data
dataset = Dataset_ETT_hour(root_path='path/to/data', flag='train', size=[12, 12, 12], 
                           features='M', data_path='your_data.csv', 
                           target='your_target_column', max_imfs=8)

# Initialize the model
model = Model(your_config)

# Train the model
# ... (add training code here)

# Make predictions
# ... (add prediction code here)
```

## Dependencies

- torch
- numpy
- pandas
- matplotlib
- scikit-learn
- joblib
- PyEMD

## License

This project is licensed under the MIT License.
JacksonBorbon-LinkChecker 10.4.0.post36
check links in web documents or full websites
Requires Python: >=3.9
Keywords: checking, crawling, link, site, url, validation, verification

LinkChecker
============

|Build Status|_ |License|_

.. |Build Status| image:: https://github.com/linkchecker/linkchecker/actions/workflows/build.yml/badge.svg?branch=master
.. _Build Status: https://github.com/linkchecker/linkchecker/actions/workflows/build.yml
.. |License| image:: https://img.shields.io/badge/license-GPL2-d49a6a.svg
.. _License: https://opensource.org/licenses/GPL-2.0

Check for broken links in web sites.

Features
---------

- recursive and multithreaded checking and site crawling
- output in colored or normal text, HTML, SQL, CSV, XML or a sitemap graph in different formats
- HTTP/1.1, HTTPS, FTP, mailto: and local file links support
- restrict link checking with regular expression filters for URLs
- proxy support
- username/password authorization for HTTP and FTP
- honors robots.txt exclusion protocol
- Cookie support
- HTML5 support
- a command line and web interface
- various check plugins available

Installation
-------------

Python 3.9 or later is needed. Using pip to install LinkChecker:

``pip3 install linkchecker``

pipx can also be used to install LinkChecker.

The version in the pip repository may be old, to find out how to get the latest
code, plus platform-specific information and other advice see `doc/install.txt`_
in the source code archive.

.. _doc/install.txt: https://linkchecker.github.io/linkchecker/install.html


Usage
------
Execute ``linkchecker https://www.example.com``.
For other options see ``linkchecker --help``, and for more information the
manual pages `linkchecker(1)`_ and `linkcheckerrc(5)`_.

.. _linkchecker(1): https://linkchecker.github.io/linkchecker/man/linkchecker.html

.. _linkcheckerrc(5): https://linkchecker.github.io/linkchecker/man/linkcheckerrc.html

Docker usage
-------------

If you do not want to install any additional libraries/dependencies you can use
the Docker image which is published on GitHub Packages.

Example for external web site check::

  docker run --rm -it -u $(id -u):$(id -g) ghcr.io/linkchecker/linkchecker:latest --verbose https://www.example.com

Local HTML file check::

  docker run --rm -it -u $(id -u):$(id -g) -v "$PWD":/mnt ghcr.io/linkchecker/linkchecker:latest --verbose index.html

In addition to the rolling latest image, uniquely tagged images can also be found
on the `packages`_ page.

.. _packages: https://github.com/linkchecker/linkchecker/pkgs/container/linkchecker