Hi,
It seems very interesting to try GS with ML. Thanks for your excellent work.
wondering why I'm getting an error while testing your code with demo data.
I plan to apply ML to canola plant.
Here is what i did;
conda create -n ML_Pipeline numpy pandas scikit-learn scipy matplotlib biopython nb_conda
conda activate ML_Pipeline
(ML_Pipeline) python test_set.py -df soy_geno.csv -df2 soy_pheno.csv -p 0.2 -type r -y_name HT -sep ',' -save soy_testset_1.txt
Traceback (most recent call last):
File "test_set.py", line 48, in
start_dim = a.df.shape
AttributeError: 'str' object has no attribute 'shape'
(ML_Pipeline)
Also, wonder what is the CVF data and how it was generated?
Thanks in advance
Sam
Hi,
It seems very interesting to try GS with ML. Thanks for your excellent work.
wondering why I'm getting an error while testing your code with demo data.
I plan to apply ML to canola plant.
Here is what i did;
conda create -n ML_Pipeline numpy pandas scikit-learn scipy matplotlib biopython nb_conda
conda activate ML_Pipeline
(ML_Pipeline) python test_set.py -df soy_geno.csv -df2 soy_pheno.csv -p 0.2 -type r -y_name HT -sep ',' -save soy_testset_1.txt
Traceback (most recent call last):
File "test_set.py", line 48, in
start_dim = a.df.shape
AttributeError: 'str' object has no attribute 'shape'
(ML_Pipeline)
Also, wonder what is the CVF data and how it was generated?
Thanks in advance
Sam