Release Notes

To understand what updates have happened for what versions, peruse the below lists.

TERMS

  • Added: Feature that did not exist in a previous version

  • Removed: Feature that existed in a previous version but not in the current version

  • Deprecated: Feature that existed in a previous version and still exists in the current version but whose usage is discouraged

  • Improved: Feature that existed in a previous version and with no bugs, but which has been notably improved in the current version

  • Fixed: Feature that existed in a previous version but with bugs, and which has been fixed to ensure no bugs in the current version

Versions above 2.0

The most recent versions of the library involve both logistic and sinusoidal models, and many of the function names and file structures have changed.

Version 2.1.1

10/03/21

FIXED

  • Change syntax in error handling functions to avoid throwing errors with large data sets; library now comfortably handles data sets containing as many as 1,000 coordinate pairs

Version 2.1.0

05/16/21

IMPROVED

  • logistic_model() now produces models with higher correlation coefficients on average, allowing it to better provide models for less logistically inclined data sets

FIXED

  • generate_elements() now converts negative periodic units to their positive counterparts, allowing general forms of sinusoidal points to always include only a plus sign before the periodic unit as opposed to both plus and minus signs in some cases

Version 2.0.8

04/24/21

FIXED

  • Add error handling to block program from attempting to evaluate the logarithm of zero

Version 2.0.7

04/22/21

FIXED

  • Change folder name to ensure installed library will appear as regressions on user’s computer

Version 2.0.6

04/22/21

ADDED

  • Sinusoidal models

  • Logistic models

  • Graphical analysis

  • Correlation coefficient

REMOVED

  • Error calculation (since correlation coefficient can replace it)

Versions above 1.0

The initial versions of the library involved models for the core six functions: linear, quadratic, cubic, hyperbolic, exponential, and logarithmic. All of them were generated using linear algebra techniques.

Version 1.0.1

01/24/21

ADDED

  • Linear models

  • Quadratic models

  • Cubic models

  • Hyperbolic models

  • Exponential models

  • Logarithmic models

  • Matrix manipulations to solve systems of equations

  • Error calculation to determine how well a model fits a data set