rainmanp7

import numpy as np
import tensorflow as tf
from sklearn.model_selection import train_test_split
from multiprocessing import Pool

# =============================================
# Enhanced 4D Data Generation
# =============================================
def generate_4d_data_sample(num_points=10):
    X = np.random.randn(num_points, 4) * 2  # Wider spread