Index

B

bias (blitzml._sparse_linear.LassoSolution attribute)

blitzml (module), [1] blitzml._sparse_linear (module)

C

compute_loss() (blitzml._sparse_linear.LassoSolution method)

compute_max_l1_penalty() (blitzml.LassoProblem method)

D

dual_solution (blitzml._sparse_linear.LassoSolution attribute)

duality_gap (blitzml._sparse_linear.LassoSolution attribute)

L

LassoProblem (class in blitzml)

LassoSolution (class in blitzml._sparse_linear) load_solution() (in module blitzml)

O

objective_value (blitzml._sparse_linear.LassoSolution attribute)

P

parse_log_directory() (in module blitzml)

predict() (blitzml._sparse_linear.LassoSolution method) predict_probabilities() (blitzml._sparse_linear.SparseLogisticRegressionSolution method)

S

save() (blitzml._sparse_linear.LassoSolution method) solution_status (blitzml._sparse_linear.LassoSolution attribute) solve() (blitzml.LassoProblem method) SparseHuberProblem (class in blitzml) SparseHuberSolution (class in blitzml._sparse_linear) SparseLogisticRegressionProblem (class in blitzml)

SparseLogisticRegressionSolution (class in blitzml._sparse_linear) SparseSmoothedHingeProblem (class in blitzml) SparseSmoothedHingeSolution (class in blitzml._sparse_linear) SparseSquaredHingeProblem (class in blitzml) SparseSquaredHingeSolution (class in blitzml._sparse_linear) suppress_warnings() (in module blitzml)

U

unsuppress_warnings() (in module blitzml)

W

weights (blitzml._sparse_linear.LassoSolution attribute)