Scikit-digital-health

Changes
- [Gait] Changed how gait predictions were broadcast to samples, and gait bout start/end creation at native frequency
- [Gait] Add option to save gait predictions to a file

Major Changes:
- Add a GT3X reader for Actigraph files
- [Gait] Change classification downsampling to linear from cubic, and use NumPy.interp for huge memory savings
- [Gait] Allow no downsampling for gait classification if sampling frequency is within +- 1.5% of goal frequencies
- [Gait] Change sampling period computation to use entire time series to minimize effect of poor spacings

Minor Changes:
- Add testing for edge cases for several gait metrics
- Incorporate logging and logging tests
- Harmonic ratio needs a minimum of 11 harmonics

Major Changes:
- Added logging in places where user input/code can't be changed.
- Added logging messages when starting processing, if the user is using logging

Gait changes:
- move vertical axis computation to a per-bout level to deal with potential sensor placement changes
- add a check and minimum of 10 harmonics necessary to compute the Harmonic Ratio
- removed unnecessary keys from the gait results dictionary (IC, FC, FC opp foot, b valid cycle)
- gait results returned now only include the cycles which were valid

Major Changes:

- pipeline infrastructure
- gait is all tests
- numerous bug fixes

First release, with functionality in the following sub-modules:

- sit2stand
- features
- read (for reading in data from geneactiv and axivity data files)