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improved plotting
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@@ -252,8 +252,8 @@ class BaseConvexOptimizer(BaseOptimizer):
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w = ef.convex_objective(logarithmic_barrier, cov_matrix=ef.cov_matrix)
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:param custom_objective: an objective function to be MINIMISED. This should be written using
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cvxpy atoms Should map (w, **kwargs) -> float.
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:type custom_objective: function with signature (cp.Variable, **kwargs) -> cp.Expression
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cvxpy atoms Should map (w, `**kwargs`) -> float.
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:type custom_objective: function with signature (cp.Variable, `**kwargs`) -> cp.Expression
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:param weights_sum_to_one: whether to add the default objective, defaults to True
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:type weights_sum_to_one: bool, optional
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:raises OptimizationError: if the objective is nonconvex or constraints nonlinear.
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