nstat.PoissonGLMResult

class nstat.PoissonGLMResult(intercept: 'float', coefficients: 'np.ndarray', n_iter: 'int', converged: 'bool', log_likelihood: 'float')

Bases: object

Parameters:

• intercept (float)

• coefficients (ndarray)

• n_iter (int)

• converged (bool)

• log_likelihood (float)

__init__(intercept, coefficients, n_iter, converged, log_likelihood)

Parameters:

• intercept (float)

• coefficients (ndarray)

• n_iter (int)

• converged (bool)

• log_likelihood (float)

Return type:

None

intercept: float

coefficients: ndarray

n_iter: int

converged: bool

log_likelihood: float

predict_rate(x, offset=None)

Parameters:

• x (Sequence[float] | Sequence[Sequence[float]] | ndarray)

• offset (Sequence[float] | ndarray | None)

Return type:

ndarray