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Correct two mistakes in annotation.
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@@ -44,7 +44,8 @@ class Model(BaseModel):
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# get weights
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try:
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wdf_train, wdf_valid = dataset.prepare(["train", "valid"], col_set=["weight"],
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data_key=DataHandlerLP.DK_L, w_train, w_valid = wdf_train["weight"], wdf_valid["weight"]
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data_key=DataHandlerLP.DK_L)
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w_train, w_valid = wdf_train["weight"], wdf_valid["weight"]
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except KeyError as e:
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w_train = pd.DataFrame(np.ones_like(y_train.values), index=y_train.index)
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w_valid = pd.DataFrame(np.ones_like(y_valid.values), index=y_valid.index)
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@@ -292,7 +292,7 @@ class EnhancedIndexingOptimizer(BaseOptimizer):
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delta: float = 0.4,
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bench_dev: float = 0.01,
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inds_dev: float = 0.01,
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scale_alpha=True,
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scale_alpha: bool = True,
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verbose: bool = False,
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warm_start: str = DO_NOT_START_FROM,
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max_iters: int = 10000,
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@@ -303,6 +303,7 @@ class EnhancedIndexingOptimizer(BaseOptimizer):
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delta (float): turnover rate limit
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bench_dev (float): benchmark deviation limit
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inds_dev (float): industry deviation limit
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scale_alpha (bool): if to scale alpha to match the volatility of the covariance matrix
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verbose (bool): if print detailed information about the solver
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warm_start (str): whether try to warm start (`w0`/`benchmark`/``)
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(https://www.cvxpy.org/tutorial/advanced/index.html#warm-start)
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