gradient tolerance and alpha
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Description
Hi,
who can kindly tell the meaning of "gradient_tolerance" and "alpha" parameters ? what's the default value for them ? which one is the learning rate ? I cannot not find the usage from linfa-logistic documentation.
let model = LogisticRegression::default()
.max_iterations(max_iterations)
.gradient_tolerance(0.0001)
.alpha(0.001)
.fit(&train)
.expect("Cannot train model");
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Research direction
Start with the linfa-logistic documentation and the LogisticRegression builder methods shown in the issue. Document the meanings and default values of gradient_tolerance and alpha, and clearly identify which parameter controls the learning rate.
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Assessment
- Tech stack
- rust
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100