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Snappydata is:
1. spark which allows us to use machine learning algorithms from spark
2. a sql database which allows us to use standard sql
3. apache licensed which is the same license as octo.ai
4. a…
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### Description
rollout_fragment_length is super confusing for RL users.
It isn't used in PPO for controlling sampling, train batch size is used for controlling sampling.
It is used by DQN, bu…
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Dear developers:
First of all, thank you for developing this great algorithms, it really helped my research.
Recently, I'm trying to run BayesPrism with ScRef 115000cells*19500genes on bulk 17500sam…
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@rebeccafair has reported that the generation of q-point lists is taking time during powder-averaging calculations.
The sampling algorithms are currently implemented as generator functions returnin…
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https://cs.stanford.edu/people/jure/pubs/sampling-kdd06.pdf
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The algorithm for calculation of joint inclusion probabilities are different for different probabilistic sampling schemes that are not differentiated by the current codes for selectionMethod. Pairwise…
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Using wfdb as a python package to read the waveforms, data preprocess is required.
Following steps should be taken:
- Noise cleaning: removing data spikes that reach zero, and search how to approach…
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Add a warning if a model is being trained that is not reproducible. For example, if a GBM model is trained with sampling turned on and no seed, then a warning would be outputted that this model canno…
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At the moment this can be hacked by doing `MeasureFock` and converting any nonzero results to a value of 1. However, there is likely a simpler way to implement these things by leveraging sampling algo…