Time Series Forecasting Toolkit
Timeseriesfcst is a Python package developed as a group project at OpenCampus Kiel. It provides a set of tools for preprocessing, feature engineering, and analysing time series data, as well as implementing LSTM models for time series forecasting.
Features
- Time series preprocessing
- Feature engineering for time series data
- Time series decomposition and stationarity checks
- LSTM model creation and training for time series forecasting
- Model evaluation utilities
Installation
You can install the Time Series Toolkit using pip:
pip install timeseriesfcst
Release files for timeseriesfcst 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| timeseriesfcst-0.1.4.tar.gz | 15.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| timeseriesfcst-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 31.9 kB
Release files / timeseriesfcst-0.1.4.tar.gz
| Download URL | timeseriesfcst-0.1.4.tar.gz |
|---|---|
| Size | 15.1 kB |
| Tags | Source |
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Release files / timeseriesfcst-0.1.4-py3-none-any.whl
| Download URL | timeseriesfcst-0.1.4-py3-none-any.whl |
|---|---|
| Size | 16.8 kB |
| Tags | Python 3 |
|
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.3
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