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Copy file name to clipboardExpand all lines: torchvinecopulib/vinecop/__init__.py
+2-2Lines changed: 2 additions & 2 deletions
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@@ -417,7 +417,7 @@ def fit(
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mtd_vine: str="rvine",
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mtd_bidep: str="chatterjee_xi",
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thresh_trunc: None|float=0.01,
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mtd_kde: str="fastKDE",
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mtd_kde: str="tll",
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mtd_tll: str="constant",
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num_iter_max: int=17,
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is_tau_est: bool=False,
@@ -434,7 +434,7 @@ def fit(
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matrix (torch.Tensor, optional): matrix representation of the vine structure. Defaults to None.
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first_tree_vertex (tuple, optional): vertices of the first tree (set of conditioning variables). Defaults to ().
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mtd_vine (str, optional): method for vine structure. One of "cvine", "dvine", "rvine". Defaults to "rvine".
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mtd_bidep (str, optional): method for bivariate dependence. One of "chatterjee_xi", "ferreira_tail_dep_coeff", "kendall_tau", "mutual_info", "spearman_rho". Defaults to "chatterjee_xi".
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mtd_bidep (str, optional): method for bivariate dependence. One of "chatterjee_xi", "ferreira_tail_dep_coeff", "kendall_tau", "mutual_info". Defaults to "chatterjee_xi".
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thresh_trunc (None | float, optional): threshold for truncating bivariate copulas using p-val from Kendall's tau stats test. Defaults to 0.01.
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mtd_kde (str, optional): method for bicop KDE. One of "fastKDE" or "tll". Defaults to "fastKDE".
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mtd_tll (str, optional): fit method for the transformation local-likelihood (TLL) nonparametric family, one of ("constant", "linear", or "quadratic"). Defaults to "constant".
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