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github.com/ddbourgin/numpy-ml
/ grad
Method
grad
numpy_ml/trees/losses.py:60–62 ·
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(self, y, y_pred)
Source
from the content-addressed store, hash-verified
58
return
ClassProbEstimator()
59
60
def
grad(self, y, y_pred):
61
eps = np.finfo(float).eps
62
return
-y * 1 / (y_pred + eps)
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64
def
line_search(self, y, y_pred, h_pred):
65
raise
NotImplementedError
Callers
1
fit
Method · 0.95
Calls
no outgoing calls
Tested by
no test coverage detected