scikit-cycling
stable

Getting Started

  • Getting Started

Documentation

  • User Guide
    • 1. Input/Output Cycling Files
    • 2. Utilities
    • 3. Analysis of Cyclist Power Data
    • 4. Inference
    • 5. Datasets
  • scikit-cycling API

Tutorial - Examples

  • General examples
  • Input/Output examples
  • Metrics examples
  • Data Inference
  • Power-profile examples

Additional Information

  • Release History
  • Version 0.1
  • Previous Releases
  • About used
scikit-cycling
  • Docs »
  • User guide: .. contents::
  • Edit on GitHub

User Guide¶

  • 1. Input/Output Cycling Files
  • 2. Utilities
    • 2.1. Extract additional information from activities
  • 3. Analysis of Cyclist Power Data
    • 3.1. Introduction
      • 3.1.1. Maximum power aerobic and functional threshold power
      • 3.1.2. The ESIE and the Coggan et al. scales
    • 3.2. Effort quantification based on power data
      • 3.2.1. Normalized power® score
      • 3.2.2. Intensity factor®
      • 3.2.3. Training stress score®
      • 3.2.4. Training load score
    • 3.3. Cyclist record power-profile
      • 3.3.1. Power-profile for a single activity
      • 3.3.2. Record power-profile
      • 3.3.3. Store and load power-profile for a rider
    • 3.4. Determination of the Maximum Power Aerobic
  • 4. Inference
    • 4.1. Power inference
      • 4.1.1. Physical model using all forces applied to a cyclist
      • 4.1.2. Machine learning model
  • 5. Datasets
    • 5.1. FIT files
      • 5.1.1. Rider instance
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© Copyright 2016 - 2017, G. Lemaitre, C. Lemaitre. Revision e7e1cc9a.

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