MCPcopy Create free account
hub / github.com/christopherjenness/ML-lib / locallogisticHessian

Method locallogisticHessian

ML/kernelmethods.py:126–156  ·  view source on GitHub ↗

Hessian for regulatrized local logistic regression L2 loss Args: theta (np.array): Current lwlr parameters of shape [1, n_features] weights (np.array): training set weights of shape [n_samples, 1] reg_param (float)

(self, theta, weights, reg_param)

Source from the content-addressed store, hash-verified

source not stored for this graph (policy: none)

Callers 1

Calls 1

logistic_functionMethod · 0.95

Tested by

no test coverage detected