Skip to main content

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)

Source distribution for timeseriesfcst 0.1.4
File Size Uploaded
timeseriesfcst-0.1.4.tar.gz 15.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for timeseriesfcst 0.1.4
File Interpreter ABI Platform
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
SHA-256 checksum
How to use checksums
cd1ddfd82c15856164018e42448abdde0ba334540de88540c69df1820b4d083b
BLAKE2b-256 checksum
How to use checksums
34375e127d1418e708102249cf01fdc886dac0f816c59a6a2cf9ce65f854f770
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.12.3

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
SHA-256 checksum
How to use checksums
e27c493f6d60d187da2d469a9986163b7586226ec51083caf3d6747a1ec1c777
BLAKE2b-256 checksum
How to use checksums
8da28381948d84f2cdfcb2adcfbaf0bc8d222008179e79fe96d56e0feea7c34b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.12.3

Release history Release notifications | RSS feed

This release

0.1.4 This release

2 release files

0.1.3

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page