This release changes the mechanism to raise if there is an anomaly in the readings. Previoulsy you would select HARD or SOFT strictness; now you can simply provide the limits you want to use; this allows you to compensate for different sensor setups
1.3.0
Further updates to the anomaly detection process - now allows you to select OFF, SOFT, or HARD tolerances
1.2.2
Fix minor documentation issues
1.2.1
Fix test code
1.2.0
This release adds anomaly detection.
The `Calibration` object now has a new method `raise_if_anomaly`. This raises an error if the magnetic field strength is greater than 3 standard deviations form the mean (as recorded during calibration).
There is also a bug fix for ulabs np.cross function - this failed when the passed data was a view of another matrix. This lead to incorrect reports of the accuracy of data