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author | Daniel Friesel <daniel.friesel@uos.de> | 2022-03-03 09:59:21 +0100 |
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committer | Daniel Friesel <daniel.friesel@uos.de> | 2022-03-03 09:59:21 +0100 |
commit | fe7a702e6a7724ba8ef31697f5bf60eb800102b3 (patch) | |
tree | 915941977dd773181805193db680d820d7fcfbb5 /lib/functions.py | |
parent | c8f8b54632fcbc91543078b07ac3516883cc762d (diff) |
functions: black
Diffstat (limited to 'lib/functions.py')
-rw-r--r-- | lib/functions.py | 8 |
1 files changed, 5 insertions, 3 deletions
diff --git a/lib/functions.py b/lib/functions.py index c81c3e3..ac92af9 100644 --- a/lib/functions.py +++ b/lib/functions.py @@ -527,7 +527,9 @@ class CARTFunction(SKLearnRegressionFunction): if left_child != self.leaf_id: sub_data["child"]["left"] = self.recurse_(tree, left_child, depth=depth + 1) if right_child != self.leaf_id: - sub_data["child"]["right"] = self.recurse_(tree, right_child, depth=depth + 1) + sub_data["child"]["right"] = self.recurse_( + tree, right_child, depth=depth + 1 + ) return sub_data @@ -847,7 +849,7 @@ class analytic: "logarithmic": np.log, "logarithmic1": lambda x: np.log(x + 1), "exponential": np.exp, - "square": lambda x: x ** 2, + "square": lambda x: x**2, "inverse": lambda x: 1 / x, "sqrt": lambda x: np.sqrt(np.abs(x)), "num0_8": _num0_8, @@ -906,7 +908,7 @@ class analytic: #'polynomial' : lambda reg_param, model_param: reg_param[0] + reg_param[1] * model_param + reg_param[2] * model_param ** 2, "square": ParamFunction( lambda reg_param, model_param: reg_param[0] - + reg_param[1] * model_param ** 2, + + reg_param[1] * model_param**2, lambda model_param: True, 2, repr_str="β₀ + β₁ * x²", |