Pipeline - Unexpected Labels
RetrosynthesisAI opened this issue · 0 comments
RetrosynthesisAI commented
I tried the pipeline code, on your github page and it resulted in the following error
from chemicalx import pipeline
from chemicalx.models import DeepSynergy
from chemicalx.data import DrugCombDB
model = DeepSynergy(context_channels=112, drug_channels=256)
dataset = DrugCombDB()
results = pipeline(
dataset=dataset,
model=model,
# Data arguments
batch_size=5120,
context_features=True,
drug_features=True,
drug_molecules=False,
labels=True,
# Training arguments
epochs=100,
)
# Outputs information about the AUC-ROC, etc. to the console.
results.summarize()
# Save the model, losses, evaluation, and other metadata.
results.save("~/test_results/")
TypeError Traceback (most recent call last)
[<ipython-input-9-b0c19c387d65>](https://localhost:8080/#) in <module>()
16 labels=True,
17 # Training arguments
---> 18 epochs=100,
19 )
20
TypeError: pipeline() got an unexpected keyword argument 'labels'