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As suggested by @ieee8023 the `ivadomed` library uses the patch-wise performance measurement. More specific at every epoch the algorithm evaluates the performance of the model on each patch and then s…
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My training set has 100,000 doc samples and 1,000 tags, but I found that tags satisfy the long tail distribution. Some tags only appear in less than 10 docs, while others are basically included in eve…
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* cem version: cem 1.1.0
* Python version: sys.version 3.10.12
* Operating System: DBX
### Description
I was trying to duplicate the Boston data example to familiarize myself with this pack…
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Thank you for developing this model.
I found that in the dataset you are using, there are two numerical sequences under a protein sequence in the training set, while there is only one sequence in the…
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We are currently using xgboost 1.6.2 and are trying to upgrade to 2.1.1. On the way through the versions, we observed the following prediction time averages:
1.6.2: 15ms
1.7.6: 17ms
2.0.3: 43ms
…
Raemi updated
14 hours ago
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## Bug description
On running the GeoLift package with 80 markets, the model is giving like 1000 combinations among which Rank 1 shows that the AvgScaledL2Imbalance = 0.54 which is a very high valu…
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This is clear: What do we need to hit 45:55 imbalance across pools? What are cost blockers
Here’s a quick write-up on our rebalancing needs:
Our key pools for rebalancing are Mode ETH, Linea ETH and…
par94 updated
7 months ago
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Hi,
I am running LDSC for genetic heritability and genetic correlation for a variety of datasets. Some of them (biobank data) have very large case/control imbalance (sample prevalence of
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Hi Olaseni!
I’ve had the chance to look through your project, and I must say it’s really interesting! I appreciate the effort that has gone into incorporating such a detailed and structured approach.…
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# Building a multiclass classification model | Practical Cheminformatics
Data cleaning, adding structures to PubChem data, building a multiclass model, dealing with imbalanced data
[https://patwalte…