A
A Fast and Flexible Polya-Gamma Variable Sampler for Data Augmentation
A Fast and Flexible Polya-Gamma Variable Sampler for Data Augmentation
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Launch Intel predictions
Analyze your own launch →75%75% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
60%60% predicted probability of success on AppSumo, based on ML models trained on real launch data.
49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
37%37% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
25%25% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
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