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@glemaitre glemaitre released this 17 Mar 08:46
· 10 commits to 0.1.X since this release
0.1.0
5838ee4

First release of scikit-cycling.

Base

  • Rider allows to store and easily manipulate power data of a cyclist. By Guillaume Lemaitre.

Datasets

  • datasets.load_fit and datasets.load_rider provides datasets for .fit files and internal rider files, respectively. By Guillaume Lemaitre.

Extraction

  • extraction.activity_power_profile allows to extract the power-profile of an activity. By Guillaume Lemaitre.
  • extraction.acceleration, extraction.gradient_elevation, and extraction.gradient_heart_rate allows to extract the gradient of the speed, elevation, and the heart-rate. By Guillaume Lemaitre.
  • extraction.gradient_activity allows to compute the gradient for all available data for a given period. By Guillaume Lemaitre.

Input/Output

  • bikeread implement a common interface to read bike files. By Guillaume Lemaitre.

Metrics

  • metrics.std_dev_squared_error computes the standard deviation of the squared error when dealing with regression. By Guillaume Lemaitre.
  • metrics.aerobic_meta_model computes the aerobic model (MPA mainly). By Guillaume Lemaitre.

Model

  • strava_power_model implements the method used in Strava for the prediction of power from GPS data. By Guillaume Lemaitre.
Assets 2