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import warnings | |
with warnings.catch_warnings(): | |
warnings.filterwarnings('ignore', category=FutureWarning) | |
import h5py | |
import os | |
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '1' | |
import tensorflow as tf |
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# It is highly recommended to use Pandas for such data processing problems | |
import pandas as pd | |
import numpy as np | |
dataset = {'feature1': np.random.rand(5000), | |
'feature2': np.random.rand(5000), | |
'feature3': np.random.rand(5000) | |
} |