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option to train on sim alone #347

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05cecad
option to train on sim alone
RevathiJambunathan Dec 16, 2025
fc6bebe
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Dec 16, 2025
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4 changes: 3 additions & 1 deletion ml/Neural_Net_Classes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -136,6 +136,7 @@ def train_model(
exp_inputs_val,
exp_targets_val,
num_epochs=1500,
train_on_exp=1,
):
for epoch in range(num_epochs):
self.optimizer.zero_grad()
Expand All @@ -146,7 +147,8 @@ def train_model(
loss += nan_mse_loss(sim_targets, sim_outputs)
if len(exp_inputs) > 0:
exp_outputs = self.calibrate(self(exp_inputs))
loss += nan_mse_loss(exp_targets, exp_outputs)
if train_on_exp == 1:
loss += nan_mse_loss(exp_targets, exp_outputs)
loss.backward()

self.optimizer.step()
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2 changes: 2 additions & 0 deletions ml/train_model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -218,6 +218,7 @@
model = CombinedNN(len(input_names), n_outputs, learning_rate=0.0001)
model.to(device) # moving to GPU
NNmodel_start_time = time.time()
train_on_experiments = 1
model.train_model(
norm_sim_inputs_train.to(device),
norm_sim_outputs_train.to(device),
Expand All @@ -228,6 +229,7 @@
norm_expt_inputs_val.to(device),
norm_expt_outputs_val.to(device),
num_epochs=20000,
train_on_expt
)
NNmodel_end_time = time.time()
print(f"Model_{i + 1} trained in ", NNmodel_end_time - NNmodel_start_time)
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