Regression
minimum_cycles |
Description |
Example |
|---|---|---|
Required: True Type: <class ‘int’> Units: None |
Minimum number of cycles in the regression |
10 |
max_iterations |
Description |
Example |
|---|---|---|
Required: True Type: <class ‘int’> Units: None |
Max iterations of the regression |
10 |
max_redescending_iterations |
Description |
Example |
|---|---|---|
Required: True Type: <class ‘int’> Units: None |
Max redescending iterations of the regression |
2 |
r0 |
Description |
Example |
|---|---|---|
Required: True Type: <class ‘float’> Units: None |
The number of standard deviations where the influence function changes from linear to quadratic |
1.4 |
u0 |
Description |
Example |
|---|---|---|
Required: True Type: <class ‘float’> Units: None |
Control for redescending Huber regression weights. |
2.8 |
tolerance |
Description |
Example |
|---|---|---|
Required: True Type: <class ‘float’> Units: None |
Control for convergence of RME algorithm. Lower means more iterations |
0.005 |
verbosity |
Description |
Example |
|---|---|---|
Required: True Type: <class ‘int’> Units: None |
Control for logging messages during regression – Higher means more messages |
1 |