LiNGAM for bivariate case

[sAviOr287]

Hi

I have been trying to use LiNGAM in the bivariate case, however, the current implementation does seem to support this as it seems to only work on graphs for now. Ideally, I would like to use it the same way as in https://arxiv.org/pdf/1711.08936.pdf

The only difference I currently see is the dataloader:

For the graph example you have:

def load_sachs(**kwargs):
	dirname = os.path.dirname(os.path.realpath(__file__))
	return (pd.read_csv('{}/resources/cyto_full_data.csv'.format(dirname)),
	        read_list_edges('{}/resources/cyto_full_target.csv'.format(dirname)))

whereas for the Tuebingen dataset you have:

def load_tuebingen(shuffle=False):
	dirname = os.path.dirname(os.path.realpath(__file__))

	data = read_causal_pairs('{}/resources/Tuebingen_pairs.csv'.format(dirname), scale=False)
	labels = pd.read_csv('{}/resources/Tuebingen_targets.csv'.format(dirname)).set_index('SampleID')


	if shuffle:
		for i in range(len(data)):
			if random.choice([True, False]):
				labels.iloc[i, 0] = -1
				buffer = data.iloc[i, 0]
				data.iloc[i, 0] = data.iloc[i, 1]
				data.iloc[i, 1] = buffer
	return data, labels

I was wondering if there is an easy fix to make LiNGAM also work on the pairwise case.

i seem to get this error:

FileNotFoundError: File b'/tmp/cdt_LiNGAMa88a58e7-358a-439b-9948-5fde62654c50/result.csv' does not exist

Thanks a lot in advance for your help

Best

[diviyank]

Hello,

Sure i'll try to adapt the LiNGAM for the bivariate case real soon ! the error just shows that the R-process errored.

Best regards, Diviyan

[sAviOr287]

Hi,

Great!

Is there a hint you could give me to check what is going wrong? It seems like results.csv is not being created

I am trying to get LiNGAM as a baseline method atm.

Sorry for the inconvenience.

Best

[diviyank]

Hi, It comes from the data that is not given in the good shape to the R process. One way to solve this problem is to format the data as a 2-variable graph.

We are quite busy during this month so we will look into this in July.

Best, Diviyan