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This repository was archived by the owner on Jul 16, 2021. It is now read-only.
This repository was archived by the owner on Jul 16, 2021. It is now read-only.

Getting basic statistics #207

Description

@drbh

I am using the logit model

use rusty_machine::learning::logistic_reg::LogisticRegressor;

and I would like to get corresponding pvalues and error rates for the coeffs

my model looks like:

LogisticRegressor {
    base: BaseLogisticRegressor {
        parameters: Some(
            Vector {
                size: 8,
                data: [
                    -0.7278923401926283,
                    0.06431233971308888,
                    0.0030272254896660214,
                    0.016991843894604487,
                    0.010915105151989409,
                    -0.012891552442079453,
                    0.006423837227273267,
                    0.007800680523993605,
                ],
            },
        ),
    },
    alg: GradientDesc {
        alpha: 0.2,
        iters: 200,
    },
}

how do I know which of theses parameters are statistically significant?

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