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It would be nice to have examples of how to run this with sample data. I was trying to run with input.csv and cols_to_use.txt.
I tried:
python ./SAUCIE-master/SAUCIE.py --input_dir ./input --output_dir ./output
I get:
Finished training models and outputing data!
Except nothing is output..
If I try:
python ./SAUCIE-master/SAUCIE.py --input_dir ./input --output_dir ./output --batch_correct --cluster
I get:
Found 0 batch-corrected models (out of 0 total models)
Found batch correction models.
Found 0 batch-corrected files (out of 1 total files)
Outputing batch corrected data.
Starting to output 1 batch corrected files...
Training cluster model.
C:\Users\kqwt693\AppData\Local\Continuum\Anaconda3\lib\site-packages\h5py\__init__.py:34: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
from ._conv import register_converters as _register_converters
Traceback (most recent call last):
File "./SAUCIE-master/SAUCIE.py", line 359, in <module>
train_cluster(input_files)
File "./SAUCIE-master/SAUCIE.py", line 221, in train_cluster
raise(ex)
File "./SAUCIE-master/SAUCIE.py", line 202, in train_cluster
x = get_data(inputfiles[0], sample=2)
IndexError: list index out of range
It would be nice to have examples of how to run this with sample data. I was trying to run with input.csv and cols_to_use.txt.
I tried:
python ./SAUCIE-master/SAUCIE.py --input_dir ./input --output_dir ./output
I get:
Except nothing is output..
If I try:
python ./SAUCIE-master/SAUCIE.py --input_dir ./input --output_dir ./output --batch_correct --cluster
I get:
The only one that output something was:
It would be nice to have instructions/tutorial on what to do next with this output.
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