tejasshah93

# In[5]:
B = sparse.csr_matrix([[1, 1, 1],[1, 1, 1],[1, 1, 1]])
A = sparse.csr_matrix(
[
    [2, 2, 1],
    [1, 0, 1],
    [1, 1, 1]
])

# In[6]:

tejasshah93

import sklearn


class UserCustomDistance(MatrixMetricSearch):
    def __init__(self, features, records_data):
        super(UserCustomDistance, self).__init__(features, records_data)
        self.matrix = self.matrix
        self.max_overlap = self.matrix.shape[0]  # for testing purpose

    @staticmethod

tejasshah93

mkdir -p /usr/local/etc/nginx/sites-{enabled,available}
cd /usr/local/etc/nginx/sites-enabled
ln -s ../sites-available/default.conf
ln -s ../sites-available/default-ssl.conf

File locations:

• nginx.conf to /usr/local/etc/nginx/
• default.conf and default-ssl.conf to /usr/local/etc/nginx/sites-available
• homebrew.mxcl.nginx.plist to /Library/LaunchDaemons/

tejasshah93

{
  "_id": "7155b91bd41dc06b7b9289fac2ba33b1",
  "collectionName": "TCGA-LUSC",
  "countSeries": 221,
  "countImages": 29136,
  "totalSizeMB": 8192,
  "countPatients": 31,
  "countStudies": 60,
  "seriesPath": "/download/TCGA-LUSC/",
  "series": [