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Pre-Request Checklist
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- [x] I am running the latest versions of pyQuil and the Forest SDK
- [x] I checked to make sure that this feature has not already been requested
Is…
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A process can change to stable status with the following requirements:
> Processes will only be moved from proposals to the stable process specifications once there are at least two implementations…
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### Describe the type of feature and its functionality.
Could ypu please provide a starting point code for tree-based classifiers (such as random forest)?
### Describe step by step what files and …
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Find which functions will be used for the Decision Tree in R and libraries also. Then apply Random forest and show the confusion matrix using the summary function.
Train
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Find which functions will be used for the Decision Tree in R and libraries also. Then apply Random forest and show the confusion matrix using the summary function.
Train
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@rudecat raised some good domain knowledge considerations like the fact that the number of successful scores should never be greater than the number of attempted scores. We should think of more checks…
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I downloaded the code,but i can't use it,which is main function
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In the case of Binary treatment[1 for treatment group 0 for control group] and Continuous outcome,
CASE1 : discrete_treatment=True
# est = CausalForestDML(criterion='het')
# set parameters for c…
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I really appreciate this package and your work on these meta-learners for treatment effect heterogeneity. I wanted to look more into the propensity scores estimated during the X-Learner with a random …
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### Inhabitants / Races
- [x] Human
- [x] Orc / Goblin
- [x] Elves
- [x] Barbarians
- [ ] Fairy
- [x] Fish/Aquatic people
- [ ] Wizards/Witches
- [ ] Vampires
- [ ] Giants
- [ ] Cat/Neko pe…