L0Estimator(datafit, penalty, lmbd[, ...])
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Scikit-learn-compatible linear model estimators based on L0-regularized problems. |
L0Classifier(lmbd, M[, fit_intercept, solver])
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Substitute for L0L1L2Classifier with parameters alpha=0 and beta=0. |
L0L1Classifier(lmbd, alpha[, M, ...])
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Substitute for L0L1L2Classifier with parameter beta=0. |
L0L2Classifier(lmbd, beta[, M, ...])
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Substitute for L0L1L2Classifier with parameter alpha=0. |
L0L1L2Classifier(lmbd, alpha, beta[, M, ...])
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L0Regressor(lmbd, M[, fit_intercept, solver])
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Substitute for L0L1L2Regressor with parameters alpha=0 and beta=0. |
L0L1Regressor(lmbd, alpha[, M, ...])
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Substitute for L0L1L2Regressor with parameter beta=0. |
L0L2Regressor(lmbd, beta[, M, ...])
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Substitute for L0L1L2Regressor with parameters alpha=0. |
L0L1L2Regressor(lmbd, alpha, beta[, M, ...])
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L0SVC(lmbd, M[, fit_intercept, solver])
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Substitute for L0L1L2SVC with parameters alpha=0 and beta=0. |
L0L1SVC(lmbd, alpha[, M, fit_intercept, solver])
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Substitute for L0L1L2SVC with parameter beta=0. |
L0L2SVC(lmbd, beta[, M, fit_intercept, solver])
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Substitute for L0L1L2SVC with parameter alpha=0. |
L0L1L2SVC(lmbd, alpha, beta[, M, ...])
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