el0ps.estimator.L0SVC¶

class el0ps.estimator.L0SVC(lmbd, M, fit_intercept=False, solver=<el0ps.solver.bnb.BnbSolver object>)¶

Substitute for L0L1L2SVC with parameters alpha=0 and beta=0.

__init__(lmbd, M, fit_intercept=False, solver=<el0ps.solver.bnb.BnbSolver object>)¶

Methods

`__init__`(lmbd, M[, fit_intercept, solver])
`decision_function`(X)	Predict confidence scores for samples.
`fit`(X, y)	Fit model.
`get_metadata_routing`()	Get metadata routing of this object.
`get_params`([deep])	Get parameters for this estimator.
`predict`(X)	Predict using the linear model.
`score`(X, y[, sample_weight])	Return the mean accuracy on the given test data and labels.
`set_params`(**params)	Set the parameters of this estimator.
`set_score_request`(*[, sample_weight])	Request metadata passed to the `score` method.