diff options
author | Daniel Friesel <daniel.friesel@uos.de> | 2022-01-17 11:29:31 +0100 |
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committer | Daniel Friesel <daniel.friesel@uos.de> | 2022-01-17 11:29:31 +0100 |
commit | b619697df57ffa51e7caa44ecd4566a2f6dcf49c (patch) | |
tree | f203803cc25f0214338344fdcd2c17aed1c94dd1 /lib/parameters.py | |
parent | 3340bab4196c2737236216ad3845afa74d0b7f39 (diff) |
build_tree: oops. properly set staticfunction
Diffstat (limited to 'lib/parameters.py')
-rw-r--r-- | lib/parameters.py | 6 |
1 files changed, 4 insertions, 2 deletions
diff --git a/lib/parameters.py b/lib/parameters.py index 1239046..3157c91 100644 --- a/lib/parameters.py +++ b/lib/parameters.py @@ -928,7 +928,8 @@ class ModelAttribute: logger.warning( f"Cannot generate CART due to lack of parameters: parameter shape is {np.array(parameters).shape}, fit_parameter shape is {fit_parameters.shape}" ) - return df.StaticFunction(np.mean(data)) + self.model_function = df.StaticFunction(np.mean(data)) + return cart.fit(fit_parameters, data) self.model_function = df.SKLearnRegressionFunction( np.mean(data), cart, category_to_index, ignore_index @@ -958,7 +959,8 @@ class ModelAttribute: logger.warning( f"Cannot run XGBoost due to lack of parameters: parameter shape is {np.array(parameters).shape}, fit_parameter shape is {fit_parameters.shape}" ) - return df.StaticFunction(np.mean(data)) + self.model_function = df.StaticFunction(np.mean(data)) + return xgb.fit(fit_parameters, np.reshape(data, (-1, 1))) self.model_function = df.SKLearnRegressionFunction( np.mean(data), xgb, category_to_index, ignore_index |