Is there any way to change the heap size when I run a code from jupyter?
I am working on GFCI and trying the testId = 'kci-test' (and scoreId = 'mvp-bic-score') and given that my dataset is consists of 120 variables I run into a that heap space error.
Here is my code:
tetrad.run(algoId = 'gfci', dfs = df, testId = 'kci-test',alpha = 0.05, kernelType =2, scoreId = 'mvp-bic-score',
maxDegree = 3, maxPathLength = -1,
completeRuleSetUsed = False, faithfulnessAssumed = True, verbose = True,
resamplingEnsemble = 1, addOriginalDataset = True, colliderDiscoveryRule =2)
Is there any way to change the heap size when I run a code from jupyter?
I am working on GFCI and trying the testId = 'kci-test' (and scoreId = 'mvp-bic-score') and given that my dataset is consists of 120 variables I run into a that heap space error.
Here is my code:
tetrad.run(algoId = 'gfci', dfs = df, testId = 'kci-test',alpha = 0.05, kernelType =2, scoreId = 'mvp-bic-score',