Skip to main content
Ctrl+K
sktime  documentation - Home
  • Get Started
  • Documentation
  • Installation
  • API Reference
  • Get Involved
    • Development
    • About
    • Examples
  • GitHub
  • Discord
  • LinkedIn
  • Get Started
  • Documentation
  • Installation
  • API Reference
  • Get Involved
  • Development
  • About
  • Examples
  • GitHub
  • Discord
  • LinkedIn

Section Navigation

  • Forecasting with sktime
  • Forecasting with sktime - appendix: forecasting, supervised regression, and pitfalls in confusing the two
  • Probabilistic Forecasting with sktime
  • Hierarchical, Global, and Panel Forecasting with sktime
  • Window Splitters in Sktime
  • Time Series Classification, Regression, Clustering & More
  • Channel Selection in Multivariate Time Series Classification
  • Dictionary based time series classification in sktime
  • Early time series classification with sktime
  • Interval based time series classification in sktime
  • Partition based time series clustering in sktime
  • Time Series Segmentation with sktime and ClaSP
  • Overview of this notebook
  • Transformers cheat sheets
  • 4 Forecasting Pipelines, Tuning, and AutoML
  • The Canonical Time-series Characteristics (catch22) transform
  • Feature extraction with tsfresh transformer
  • Time series interpolating with sktime
  • MiniRocket
  • Demo of the PlateauFinder transformer
  • Demo of ROCKET transform
  • The Signature Method with Sktime
  • Theta Lines transformer
  • In-memory data representations and data loading
  • Loading data into sktime
  • Introduction to sktime
  • Benchmarking with sktime
  • Benchmarking - comparing estimator performance
  • MLflow
  • Examples

Examples#

Forecasting#

Forecasting with sktime
Forecasting with sktime - appendix: forecasting, supervised regression, and pitfalls in confusing the two
Probabilistic Forecasting with sktime
Hierarchical, Global, and Panel Forecasting with sktime
Window Splitters in Sktime

Classification#

Time Series Classification, Regression, Clustering & More
Channel Selection in Multivariate Time Series Classification
Dictionary based time series classification in sktime
Early time series classification with sktime
Interval based time series classification in sktime

Regression#

To come!

Clustering#

Partition based time series clustering in sktime

Annotation#

Time Series Segmentation with sktime and ClaSP

Transformation#

Overview of this notebook
Transformers cheat sheets
4 Forecasting Pipelines, Tuning, and AutoML
The Canonical Time-series Characteristics (catch22) transform
Feature extraction with tsfresh transformer
<no title>
Time series interpolating with sktime
MiniRocket
Demo of the PlateauFinder transformer
Demo of ROCKET transform
The Signature Method with Sktime
Theta Lines transformer

Data#

In-memory data representations and data loading
Loading data into sktime

Other#

Introduction to sktime
Benchmarking with sktime
Benchmarking - comparing estimator performance
<no title>
MLflow
On this page
  • Forecasting
  • Classification
  • Regression
  • Clustering
  • Annotation
  • Transformation
  • Data
  • Other

© Copyright 2019 - 2024 (BSD-3-Clause License).

Created using Sphinx 7.3.7.

Built with the PyData Sphinx Theme 0.15.4.