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Searched refs:np_data_2d (Results 1 – 1 of 1) sorted by relevance

/frameworks/base/startop/scripts/app_startup/
Danalyze_metrics.py168 def iterate_columns(np_data_2d): argument
169 for col in range(np_data_2d.shape[1]):
170 col_as_array = np_data_2d[:, col]
173 def confidence_interval(np_data_2d, percent=0.95): argument
183 for col_2d in iterate_columns(np_data_2d):
203 for label_list, np_data_2d in it:
209 print("Mean: ", np_data_2d.mean(axis=0))
210 print("Std: ", np_data_2d.std(axis=0))
211 print("CI95%:", confidence_interval(np_data_2d))
212 print("SEM: ", stats_standard_error_one(np_data_2d, axis=0))
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