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renamed project from convnet to xlearn
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decarlof committed Sep 30, 2016
1 parent 30ae006 commit 465e3b9
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Showing 3 changed files with 15 additions and 15 deletions.
10 changes: 5 additions & 5 deletions doc/demo/classify_evaluate.py
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Example script
"""
# To run this example please download the test data from the classify_evaluate folder at
# http://tinyurl.com/APS-convnet
# http://tinyurl.com/APS-xlearn

from __future__ import print_function
import dxchange
import numpy as np
from convnet.utils import nor_data
from convnet.utils import extract_3d
from convnet.utils import img_window
from convnet.classify import model
from xlearn.utils import nor_data
from xlearn.utils import extract_3d
from xlearn.utils import img_window
from xlearn.classify import model
import matplotlib.pyplot as plt
import time
import glob
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10 changes: 5 additions & 5 deletions doc/demo/classify_train.py
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Example script
"""
# To run this example please download the test data from the classify_train folder at
# http://tinyurl.com/APS-convnet
# http://tinyurl.com/APS-xlearn

from __future__ import print_function
import dxchange
import numpy as np
from convnet.utils import nor_data
from convnet.utils import extract_3d
from convnet.utils import img_window
from convnet.classify import train
from xlearn.utils import nor_data
from xlearn.utils import extract_3d
from xlearn.utils import img_window
from xlearn.classify import train

np.random.seed(1337)

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10 changes: 5 additions & 5 deletions doc/demo/findcenter_evaluate.py
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Expand Up @@ -5,15 +5,15 @@
Example script
"""
# To run this example please download the test data from the classify_evaluate folder at
# http://tinyurl.com/APS-convnet
# http://tinyurl.com/APS-xlearn

from __future__ import print_function
import dxchange
import numpy as np
from convnet.utils import nor_data
from convnet.utils import extract_patches
from convnet.utils import img_window
from convnet.classify import model
from xlearn.utils import nor_data
from xlearn.utils import extract_patches
from xlearn.utils import img_window
from xlearn.classify import model
import matplotlib.pyplot as plt
import time
import glob
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