regressioninc.base module#

Base class for regression in C

The base class implements some basic functions and the abstract classes for regressors.

regressioninc.base.htranspose(arr: ndarray) → ndarray[source]#

Hermitian transpose of an array (transpose and complex conjugation)

Parameters:

arr (np.ndarray) – Input array

Returns:

Hermitian transpose

Return type:

np.ndarray

regressioninc.base.sum_square_residuals(X: ndarray, y: ndarray, coef: ndarray) → float[source]#

Calculate sum of square residuals

Parameters:

  • X (np.ndarray) – The regressors

  • y (np.ndarray) – The observations

  • coef (np.ndarray) – The estimated coefficients

Returns:

The sum of square residuals

Return type:

float

pydantic model regressioninc.base.Regressor[source]#

Bases: BaseModel

Base class for any regressor

Show JSON schema
{
   "title": "Regressor",
   "description": "Base class for any regressor",
   "type": "object",
   "properties": {}
}