/
restore.py
56 lines (38 loc) · 1.57 KB
/
restore.py
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from zipfile import ZipFile
from pandas import read_csv
from numpy import load
from talos.utils.load_model import load_model
class Restore:
'''Restores the scan_object that had been stored locally as a result
of talos.Deploy(scan_object, 'example')
USE:
diabetes = ta.Scan(x, y, p, input_model)
ta.Deploy(diabetes, 'diabetes')
ta.Restore('diabetes.zip')
'''
def __init__(self, path_to_zip):
# create paths
self.path_to_zip = path_to_zip
self.extract_to = path_to_zip.replace('.zip', '')
self.package_name = self.extract_to.split('/')[-1]
self.file_prefix = self.extract_to + '/' + self.package_name
# extract the zip
# unpack_archive(self.path_to_zip, self.extract_to)
z = ZipFile(self.path_to_zip, mode='r')
z.extractall(self.extract_to)
# add params dictionary
self.params = load(self.file_prefix + '_params.npy').item()
# add experiment details
self.details = read_csv(self.file_prefix + '_details.txt', header=None)
# add x data sample
self.x = read_csv(self.file_prefix + '_x.csv', header=None)
# add y data sample
self.y = read_csv(self.file_prefix + '_y.csv', header=None)
# add model
self.model = load_model(self.file_prefix + '_model')
# add results
self.results = read_csv(self.file_prefix + '_results.csv')
self.results.drop('Unnamed: 0', axis=1, inplace=True)
# clean up
del self.extract_to, self.file_prefix
del self.package_name, self.path_to_zip