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2023-11-26 00:44:26.282311: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
Using TensorFlow backend
Namespace(data_input='imu-bvp', feature_method='tsfresh', lbl_str='pss', model='linreg', overwrite=0, subject=3, test_standing=1, train_len=5, win_shift=0.2, win_size=12)
unable to find matching config id
Data id not set, auto assigned to: 2
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imu-bvp_rr_Pilot03_id2_combi5.0-7.0-10.0-12.0-15.0
train
(101, 74)
test
(978, 73)
---LinearRegression---
Traceback (most recent call last):
File "regress_rr.py", line 1374, in <module>
sens_rr_model(subject,
File "regress_rr.py", line 1268, in sens_rr_model
x_test = transforms.transform(x_test)
File "/usr/local/lib/python3.8/dist-packages/sklearn/utils/_set_output.py", line 140, in wrapped
data_to_wrap = f(self, X, *args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/sklearn/preprocessing/_polynomial.py", line 432, in transform
X = self._validate_data(
File "/usr/local/lib/python3.8/dist-packages/sklearn/base.py", line 625, in _validate_data
self._check_n_features(X, reset=reset)
File "/usr/local/lib/python3.8/dist-packages/sklearn/base.py", line 414, in _check_n_features
raise ValueError(
ValueError: X has 70 features, but PolynomialFeatures is expecting 71 features as input.