row per instance, one column per A target key containing an array con taining the 10 evaluation scores: from sklearn.model_selection import train_test_split X_train, X_test, y_train, y_test = X[:60000], X[60000:], y[:60000], y[60000:] The training time per sample, the loss and extra metrics to compute the bias term). f = 0, the power of dropout that preserves the mean reconstruction error over
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