Comments (9)
You can consider checking: https://aws.amazon.com/marketplace/pp/prodview-pgna4dj6xqqde
from variantspark.
Is this the new variant spark notebook version on AWS?
Because I already ran this. This is where I got the error before.
I get "roll-back" errors when it starts
from variantspark.
it says out of memory
from variantspark.
Ok, well is there a way to increase the memory?
Do I do it in the configuration file script that comes with the
variant spark notebook configuration?
Because the way it works now, is you need an AWS account,
then you can run the variant spark notebook with it's
template, or you can make one yourself.
from variantspark.
Get nodes with more memory in AWS. But it largely depends on your data.
You can also try to run it on your cluster.
Try a smaller batch size.
from variantspark.
Are you sure that's the issue? Just lack of memory?
Right now I'm just trying to get the demo
version up and running which includes
their own data concerning the disease ALS.
After I get the demo version running I will replace it with my
own VCF files.
from variantspark.
We're experiencing no issues.
But open discuss partnership options if your problems persist.
from variantspark.
What's "partnership options"?
from variantspark.
We're committed to maintaining and further improving this tool but we cannot offer personalized support.
For custom-made solutions and collaborations, you can look at: https://aehrc.csiro.au/work-with-us/
from variantspark.
Related Issues (20)
- Additional support for prediction HOT 1
- Update the Cloud Marketplace example Notebooks to include logistic regression covariates HOT 1
- Make the covariate calculation part of RF HOT 3
- Improve release and versioning HOT 1
- Grid Search for Parameter Optimisation HOT 1
- add p-value calculation to HAIL implementation
- Add variable count extraction from json model
- Migrate to Spark 3.1 HOT 1
- automate pvalue calculation in VariantSpark pipeline
- optimise VariantSpark for large sample size (n>50K) HOT 1
- Add split variable count to hail output
- Integrate python build with maven and revise deployment with github actions.
- How to use vcf file? HOT 4
- run on single chromosomes? HOT 1
- Can we remove the Hail monkey patches after this Hail PR? HOT 1
- fit_trees() unable to run due to IncompatibleClassChangeError HOT 2
- Reporting a vulnerability
- Install on our supercomputer throws ```java.lang.IncompatibleClassChangeError: Inconsistent constant pool data in classfile for class au/csiro/pbdava/ssparkle/spark/SparkApp. Method 'java.lang.String $anonfun$spark$1(au.csiro.pbdava.ssparkle.spark.SparkApp)' at index 118 is CONSTANT_MethodRef and should be CONSTANT_InterfaceMethodRef``` HOT 1
- Install on any machine throws ``` java.lang.IncompatibleClassChangeError``` HOT 1
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from variantspark.