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ndarray-glm-0.0.12
ndarray-glm 0.0.12
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felix-clark
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itertools ^0.10
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ndarray-linalg ^0.16
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num-traits ^0.2
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thiserror ^1.0
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anyhow ^1.0
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approx ^0.4
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ndarray ^0.15
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ndarray-linalg ^0.16
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ndarray_
glm
0.0.12
Module logistic_
link
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In crate ndarray_
glm
ndarray_glm
Module
logistic_link
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Link functions for logistic regression
Structs
ยง
Cloglog
The complementary log-log link g(p) = log(-log(1-p)) is appropriate when modeling the probability of non-zero counts when the counts are Poisson-distributed with mean lambda = exp(lin_pred).
Logit
The canonical link function for logistic regression is the logit function g(p) = log(p/(1-p)).