s434732/ium_434732
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Scared
Some checks failed
s434732-evaluation/pipeline/head There was a failure building this commit
Details
s434732-training/pipeline/head There was a failure building this commit
Details

Browse Source
This commit is contained in:
s434732 2021-05-15 17:09:20 +02:00
parent 61043e2273
commit 8dbf0e8699
1 changed files with 3 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
mongoObserver.py
View File

@ -28,7 +28,7 @@ class LogisticRegressionModel(nn.Module):
@ex.capture @ex.capture
def readAndtrain(epchos, batch_size, _run): def readAndtrain(epochs, batch_size, _run):
train = pd.read_csv("train.csv") train = pd.read_csv("train.csv")
test = pd.read_csv("test.csv") test = pd.read_csv("test.csv")
@ -45,7 +45,7 @@ def readAndtrain(epchos, batch_size, _run):
input_dim = 11 input_dim = 11
output_dim = 1 output_dim = 1
_run.info("Batch: " + str(batch_size) + " epoch: " + epchos) _run.info("Batch: " + str(batch_size) + " epoch: " + epochs)
model = LogisticRegressionModel(input_dim, output_dim) model = LogisticRegressionModel(input_dim, output_dim)
model.load_state_dict(torch.load('DEATH_EVENT.pth')) model.load_state_dict(torch.load('DEATH_EVENT.pth'))
@ -53,7 +53,7 @@ def readAndtrain(epchos, batch_size, _run):
criterion = torch.nn.BCELoss(reduction='mean') criterion = torch.nn.BCELoss(reduction='mean')
optimizer = torch.optim.SGD(model.parameters(), lr=learning_rate) optimizer = torch.optim.SGD(model.parameters(), lr=learning_rate)
for epoch in range(epchos): for epoch in range(epochs):
# print ("Epoch #",epoch) # print ("Epoch #",epoch)
model.train() model.train()
optimizer.zero_grad() optimizer.zero_grad()