Dylan Plummer dylan-plummer

## pathological_autoencoder_example.py
import numpy as np
import matplotlib.pyplot as plt
from sklearn.neural_network import MLPRegressor
from sklearn.decomposition import PCA
from sklearn.preprocessing import StandardScaler
import itertools

# Generate 4D Hypercube Data
np.random.seed(42)
n_samples = 2000
	import numpy as np
	import matplotlib.pyplot as plt
	from sklearn.neural_network import MLPRegressor
	from sklearn.decomposition import PCA
	from sklearn.preprocessing import StandardScaler
	import itertools

	# Generate 4D Hypercube Data
	np.random.seed(42)
	n_samples = 2000