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0.1.0
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ed6433f063
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fda7f7ed5f
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@@ -1,7 +1,8 @@
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from asyncio import run
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from argparse import ArgumentParser, Namespace
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from time import time
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from model import infer_sequence, train_model
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from locimend.model import infer_sequence, train_model
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def parse_arguments() -> Namespace:
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@@ -21,7 +22,10 @@ def parse_arguments() -> Namespace:
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async def execute_task(args):
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if args.task == "train":
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start_time = time()
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train_model(data_file=args.data_file, label_file=args.label_file)
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end_time = time()
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print(f"Training time: {end_time - start_time}")
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else:
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prediction = await infer_sequence(sequence=args.sequence)
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print(f"Error-corrected sequence: {prediction}")
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13
trained_model/keras_metadata.pb
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13
trained_model/keras_metadata.pb
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