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for gene in tqdm(range(gene_start, gene_end)): #tqdm(range(gt_interv.shape[0])): |
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model = BICYCLE.load_from_checkpoint(checkpoint_path=OUT_PATH / f"temp_{DATASET}.ckpt", map_location=device, strict=True) |
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model.optimizer = "adam" |
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model.lr = 1e-3 |
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if RANDOMIZE == 1: |
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model.z_loc.data = z_loc_init |
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model.z_scale.data = z_scale_init |
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model.train() |
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for gene in range(61): |
There is a nested for gene in range(61) loop that reuses the same variable name as the outer loop, potentially causing unintended behavior.
How were the I-MAE values for the paper calculated?
bicycle/notebooks/experiments/frangieh/evaluate_imae.py
Lines 184 to 196 in 0bf5c4f
There is a nested
for gene in range(61)loop that reuses the same variable name as the outer loop, potentially causing unintended behavior.How were the I-MAE values for the paper calculated?