glm_fit: Runs multiple Fisher scoring steps
In tfprobability: Interface to 'TensorFlow Probability'
glm_fit R Documentation
Runs multiple Fisher scoring steps
Description
Runs multiple Fisher scoring steps
Usage
glm_fit(x, ...)
Arguments
x
float-like, matrix-shaped Tensor where each row represents a sample's
features.
...
other arguments passed to specific methods.
Value
A glm_fit object with parameter estimates, number of iterations,
etc.
See Also
glm_fit.tensorflow.tensor()
tfprobability documentation built on Sept. 1, 2022, 5:07 p.m.
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| glm_fit | R Documentation |
Runs multiple Fisher scoring steps
Description
Runs multiple Fisher scoring steps
Usage
glm_fit(x, ...)
Arguments
x |
float-like, matrix-shaped Tensor where each row represents a sample's features. |
... |
other arguments passed to specific methods. |
Value
A glm_fit object with parameter estimates, number of iterations,
etc.
See Also
glm_fit.tensorflow.tensor()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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