19 lines
491 B
Python
19 lines
491 B
Python
import joblib
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import numpy as np
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cache_file = "dataset_cache/training_data_2d.joblib"
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data = joblib.load(cache_file)
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X = np.array(data['X'])
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y = np.array(data['y'])
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print("X shape:", X.shape)
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print("X mean:", np.mean(X))
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print("X std:", np.std(X))
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print("X min:", np.min(X))
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print("X max:", np.max(X))
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print("Any NaN:", np.isnan(X).any())
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for i in range(6):
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print(f"Channel {i} mean: {np.mean(X[:, i, :, :]):.4f}, min: {np.min(X[:, i, :, :]):.4f}, max: {np.max(X[:, i, :, :]):.4f}")
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