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bug fix with class hierarchy

This commit is contained in:
Steve Nyemba 2020-02-20 09:52:53 -06:00
parent f63ede2fc5
commit 74c1f9d511
3 changed files with 9 additions and 9 deletions
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6
data/gan.py
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@ -76,13 +76,13 @@ class GNet :
# self.Z_DIM = 128 #self.X_SPACE_SIZE # self.Z_DIM = 128 #self.X_SPACE_SIZE
self.Z_DIM = 128 #-- used as rows down stream self.Z_DIM = 128 #-- used as rows down stream
self.G_STRUCTURE = [self.Z_DIM,self.Z_DIM] self.G_STRUCTURE = [self.Z_DIM,self.Z_DIM]
PROPOSED_BATCH_PER_GPU = 2000 if 'batch_size' not in args else int(args['batch_size'])
self.BATCHSIZE_PER_GPU = PROPOSED_BATCH_PER_GPU
if 'real' in args : if 'real' in args :
self.D_STRUCTURE = [args['real'].shape[1],256,self.Z_DIM] self.D_STRUCTURE = [args['real'].shape[1],256,self.Z_DIM]
PROPOSED_BATCH_PER_GPU = 2000 if 'batch_size' not in args else int(args['batch_size'])
if args['real'].shape[0] < PROPOSED_BATCH_PER_GPU : if args['real'].shape[0] < PROPOSED_BATCH_PER_GPU :
self.BATCHSIZE_PER_GPU = int(args['real'].shape[0]* 1) self.BATCHSIZE_PER_GPU = int(args['real'].shape[0]* 1)
else:
self.BATCHSIZE_PER_GPU = PROPOSED_BATCH_PER_GPU
# self.BATCHSIZE_PER_GPU = 2000 if 'batch_size' not in args else int(args['batch_size']) # self.BATCHSIZE_PER_GPU = 2000 if 'batch_size' not in args else int(args['batch_size'])
self.TOTAL_BATCHSIZE = self.BATCHSIZE_PER_GPU * self.NUM_GPUS self.TOTAL_BATCHSIZE = self.BATCHSIZE_PER_GPU * self.NUM_GPUS
self.STEPS_PER_EPOCH = 256 #int(np.load('ICD9/train.npy').shape[0] / 2000) self.STEPS_PER_EPOCH = 256 #int(np.load('ICD9/train.npy').shape[0] / 2000)

4
data/maker/__init__.py
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@ -38,8 +38,8 @@ def train (**args) :
# args['label'] = handler.Export(df[[column_id]]) # args['label'] = handler.Export(df[[column_id]])
# args['label'] = np.ones(df.shape[0]).reshape(df.shape[0],1) # args['label'] = np.ones(df.shape[0]).reshape(df.shape[0],1)
for col in column : for col in column :
# args['real'] = pd.get_dummies(df[col]).astype(np.float32).values args['real'] = pd.get_dummies(df[col]).astype(np.float32).values
args['real'] = handler.Export(df[[col]]) # args['real'] = handler.Export(df[[col]])
args['column'] = col args['column'] = col
args['context'] = col args['context'] = col
context = args['context'] context = args['context']

2
setup.py
View File

@ -4,7 +4,7 @@ import sys
def read(fname): def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read() return open(os.path.join(os.path.dirname(__file__), fname)).read()
args = {"name":"data-maker","version":"1.1.1","author":"Vanderbilt University Medical Center","author_email":"steve.l.nyemba@vanderbilt.edu","license":"MIT", args = {"name":"data-maker","version":"1.1.2","author":"Vanderbilt University Medical Center","author_email":"steve.l.nyemba@vanderbilt.edu","license":"MIT",
"packages":find_packages(),"keywords":["healthcare","data","transport","protocol"]} "packages":find_packages(),"keywords":["healthcare","data","transport","protocol"]}
args["install_requires"] = ['data-transport@git+https://dev.the-phi.com/git/steve/data-transport.git','tensorflow==1.15','pandas','pandas-gbq','pymongo'] args["install_requires"] = ['data-transport@git+https://dev.the-phi.com/git/steve/data-transport.git','tensorflow==1.15','pandas','pandas-gbq','pymongo']
args['url'] = 'https://hiplab.mc.vanderbilt.edu/git/aou/data-maker.git' args['url'] = 'https://hiplab.mc.vanderbilt.edu/git/aou/data-maker.git'