bug fix with class hierarchy
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parent
f63ede2fc5
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74c1f9d511
12
data/gan.py
12
data/gan.py
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@ -76,13 +76,13 @@ class GNet :
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# self.Z_DIM = 128 #self.X_SPACE_SIZE
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self.Z_DIM = 128 #-- used as rows down stream
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self.G_STRUCTURE = [self.Z_DIM,self.Z_DIM]
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if 'real' in args :
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self.D_STRUCTURE = [args['real'].shape[1],256,self.Z_DIM]
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PROPOSED_BATCH_PER_GPU = 2000 if 'batch_size' not in args else int(args['batch_size'])
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if args['real'].shape[0] < PROPOSED_BATCH_PER_GPU :
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self.BATCHSIZE_PER_GPU = int(args['real'].shape[0]* 1)
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else:
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self.BATCHSIZE_PER_GPU = PROPOSED_BATCH_PER_GPU
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self.BATCHSIZE_PER_GPU = PROPOSED_BATCH_PER_GPU
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if 'real' in args :
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self.D_STRUCTURE = [args['real'].shape[1],256,self.Z_DIM]
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if args['real'].shape[0] < PROPOSED_BATCH_PER_GPU :
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self.BATCHSIZE_PER_GPU = int(args['real'].shape[0]* 1)
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# self.BATCHSIZE_PER_GPU = 2000 if 'batch_size' not in args else int(args['batch_size'])
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self.TOTAL_BATCHSIZE = self.BATCHSIZE_PER_GPU * self.NUM_GPUS
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self.STEPS_PER_EPOCH = 256 #int(np.load('ICD9/train.npy').shape[0] / 2000)
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@ -38,8 +38,8 @@ def train (**args) :
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# args['label'] = handler.Export(df[[column_id]])
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# args['label'] = np.ones(df.shape[0]).reshape(df.shape[0],1)
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for col in column :
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# args['real'] = pd.get_dummies(df[col]).astype(np.float32).values
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args['real'] = handler.Export(df[[col]])
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args['real'] = pd.get_dummies(df[col]).astype(np.float32).values
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# args['real'] = handler.Export(df[[col]])
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args['column'] = col
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args['context'] = col
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context = args['context']
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2
setup.py
2
setup.py
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@ -4,7 +4,7 @@ import sys
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def read(fname):
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return open(os.path.join(os.path.dirname(__file__), fname)).read()
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args = {"name":"data-maker","version":"1.1.1","author":"Vanderbilt University Medical Center","author_email":"steve.l.nyemba@vanderbilt.edu","license":"MIT",
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args = {"name":"data-maker","version":"1.1.2","author":"Vanderbilt University Medical Center","author_email":"steve.l.nyemba@vanderbilt.edu","license":"MIT",
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"packages":find_packages(),"keywords":["healthcare","data","transport","protocol"]}
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args["install_requires"] = ['data-transport@git+https://dev.the-phi.com/git/steve/data-transport.git','tensorflow==1.15','pandas','pandas-gbq','pymongo']
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args['url'] = 'https://hiplab.mc.vanderbilt.edu/git/aou/data-maker.git'
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