andyweizhao

# -*- coding: utf-8 -*-
"""
===================================
Swiss Roll reduction with LLE
===================================

An illustration of Swiss Roll reduction
with locally linear embedding

"""

andyweizhao

import numpy as np
import pylab as plt
'''
Performs the Principal Coponent analysis of the Matrix X
Matrix must be n * m dimensions
where n is # features
m is # examples
'''

def PCA(X, varRetained = 0.95, show = False):

andyweizhao

import matplotlib.pyplot as plt
plt.style.use("classic")

case = 91
betas = distance_list[case]
alphas = connection_strengh_list[case]

for i in [0,2,3,4,6]:
    _, ax = plt.subplots()
    ax.spines['top'].set_visible(False)

andyweizhao

#!/bin/bash
## This gist contains step by step instructions to install cuda v9.0 and cudnn 7.3 in ubuntu 18.04

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###