نمونهگیری در داده های سری زمانی- بخش دوم برای نمونه گیری از سری های زمانی در ماژول scikit-learn از تابع TimeSeriesSplit در کلاس model_selection استفاده می کنیم. در مثال این پست، نمونه های مختلفی از جامعه برای آموزش و آزمون انتخاب می شود.
#code by @python4finance import numpy as np from sklearn.model_selection import TimeSeriesSplit X = np.array([[1, 2], [3, 4], [1, 2], [3, 4], [1, 2], [3, 4]]) y = np.array([1, 2, 3, 4, 5, 6]) tscv = TimeSeriesSplit() for i, (train_index, test_index) in enumerate(tscv.split(X)): print(f"Fold {i}:") print(f" Train: index={train_index}") print(f" Test: index={test_index}")
نمونهگیری در داده های سری زمانی- بخش دوم برای نمونه گیری از سری های زمانی در ماژول scikit-learn از تابع TimeSeriesSplit در کلاس model_selection استفاده می کنیم. در مثال این پست، نمونه های مختلفی از جامعه برای آموزش و آزمون انتخاب می شود.
#code by @python4finance import numpy as np from sklearn.model_selection import TimeSeriesSplit X = np.array([[1, 2], [3, 4], [1, 2], [3, 4], [1, 2], [3, 4]]) y = np.array([1, 2, 3, 4, 5, 6]) tscv = TimeSeriesSplit() for i, (train_index, test_index) in enumerate(tscv.split(X)): print(f"Fold {i}:") print(f" Train: index={train_index}") print(f" Test: index={test_index}")
The SUCK Channel on Telegram, with a message saying some content has been removed by the police. Photo: Telegram screenshot. Done! Now you’re the proud owner of a Telegram channel. The next step is to set up and customize your channel. In handing down the sentence yesterday, deputy judge Peter Hui Shiu-keung of the district court said that even if Ng did not post the messages, he cannot shirk responsibility as the owner and administrator of such a big group for allowing these messages that incite illegal behaviors to exist. The Channel name and bio must be no more than 255 characters long Hui said the messages, which included urging the disruption of airport operations, were attempts to incite followers to make use of poisonous, corrosive or flammable substances to vandalize police vehicles, and also called on others to make weapons to harm police.
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