InterpreTS Documentation

InterpreTS is a Python library designed for time series analysis, feature extraction, and interpretation.

Contents:

Sections:

• Introduction
  • Main Features:
  • Supported Use Cases:
• Feature Extractors
  • FeatureExtractor
• Available Features
  • Length
  • Mean
  • Peak
  • Spikeness
  • Standard Deviation of the First Derivative (Std_1st_der)
  • Trough
  • Variance
  • Dominant
  • Seasonality Strength
  • Trend Strength
  • Above 9th Decile
  • Distance to the Last Change Point
  • Absolute Energy
  • Below 1st Decile
  • Binarize Mean
  • Crossing Points
  • Entropy
  • Flat Spots
  • Heterogeneity
  • Linearity
  • Missing Points
  • Outliers IQR
  • Outliers STD
  • Significant Changes
  • Stability
  • Variance Change
  • Variability in Sub-Periods
  • Amplitude Change Rate
  • Notes
• Tutorials
  • Feature Extraction Notebook
  • Feature Extraction Using Dask for Large Time Series Data
  • Streaming Feature Extraction
  • Time-Based Aggregation with window_size and stride
  • Basic Usage
  • Classification Notebook
  • Regression Notebook
  • Dimensionality Reduction and Clustering
  • Association Rules and Sequential Patterns
  • Example of Features Notebook
• API Documentation
  • Functions
  • Convert to Data Series Functions
  • Data Manager
  • Data Validation
  • Features Loader
  • Task Manager
• Graphical User Interface (GUI)
  • Getting Started

Quickstart: To install the library, run: .. code-block:: bash

pip install interpreTS