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We are using a LDA method for topic modeling. In this stage, we are doing parameter tuning for optimal result for clusters that we desire.
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### Apache Airflow Provider(s)
amazon
### Versions of Apache Airflow Providers
8.2.0
### Apache Airflow version
2.6.3
### Operating System
mw1.small
### Deployment
Official Apache Airflow Hel…
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Add automatic tuning with grid search, bayesian search, or any method available is scikit-optimize of spotmax hyperparams, like best thresholding and best effect size that allows max score on GT data
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I try tuning the parameters to reduce false positives in a person cluster.
So I wanted to reset the clustering to recluster with new parameters after that.
The command I used: occ face:reset --clu…
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Hi
I am attempting to call the viral genes from the complete viral genomes and viral MAGs for the further annotation
This question is a little bit basic, whereas I would like to ask when I need…
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1. The paper outlines the hyperparameters sigma_min and sigma_max during deterministic sampling, as well as P_mean, P_std, and sigma_data during training. Could you kindly elaborate on how these hyper…
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Hi there,
Could you please check if there is an option to set different number of L (the default seems to be 10)?
Thank you
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Some of the choices of parameters are currently far from optimal, as quickly explored using the following script:
```julia
using CUDA, GemmKernels
using Hyperopt
using Octavian
# we don't nee…
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What are the parameters we can tune to increase the accuracy of the network?
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Hi
I have more theoretical question. Ideally what I would like to do is to split data in 3 parts: one used for tuning, other for testing and last one for evaluation.
to reproduce:
```
library(t…