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https://github.com/robertmartin8/PyPortfolioOpt.git
synced 2022-11-27 18:02:41 +03:00
added hidden API for opt_method
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@@ -107,6 +107,7 @@ class BaseScipyOptimizer(BaseOptimizer):
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- ``bounds`` - float tuple OR (float tuple) list
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- ``initial_guess`` - np.ndarray
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- ``constraints`` - dict list
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- ``opt_method`` - the optimisation algorithm to use. Defaults to SLSQP.
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"""
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def __init__(self, n_assets, tickers=None, weight_bounds=(0, 1)):
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@@ -121,6 +122,7 @@ class BaseScipyOptimizer(BaseOptimizer):
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# Optimisation parameters
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self.initial_guess = np.array([1 / self.n_assets] * self.n_assets)
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self.constraints = [{"type": "eq", "fun": lambda x: np.sum(x) - 1}]
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self.opt_method = "SLSQP"
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def _make_valid_bounds(self, test_bounds):
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"""
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