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thekingofkings
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chicago-partition
Automatically partition Chicago into Community Areas (CA), while minize the CA level crime prediction error.
MIT License
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Guided MCMC simulation bug
#19
thekingofkings
opened
6 years ago
1
How to set lambda
#18
thekingofkings
opened
6 years ago
2
Convergence condition for both tasks
#17
thekingofkings
opened
6 years ago
0
Numerical overflow in q_learning.py
#16
porterjenkins
closed
6 years ago
2
Convergence plot
#15
thekingofkings
closed
6 years ago
1
Perform Qualitative Study of region partition before and after
#14
porterjenkins
opened
6 years ago
1
Naive MCMC gives the best house prediction accuracy (compares to softmax and q-learning MCMC)
#13
thekingofkings
closed
6 years ago
2
Improve the efficiency of Q-learning
#12
thekingofkings
closed
6 years ago
1
alpha value calculation
#11
thekingofkings
closed
6 years ago
1
Add other features as predictors
#10
thekingofkings
opened
6 years ago
0
Add house_price prediction task
#9
thekingofkings
closed
6 years ago
0
Use smart sampling (Q-learning) to optimize the partition
#8
thekingofkings
closed
6 years ago
0
Fair evaluation scheme
#7
thekingofkings
closed
6 years ago
1
Naive MCMC sample process
#6
thekingofkings
closed
6 years ago
3
SVD non-convergence issue in NB regression
#5
thekingofkings
closed
6 years ago
2
Manipulation of polygon boundary
#4
thekingofkings
closed
6 years ago
1
How to merge various features for prediction model
#3
thekingofkings
closed
6 years ago
0
Visualize tract file to see whether the missing regions matter?
#2
thekingofkings
closed
6 years ago
1
Match tract level shapefile and census statistics by year
#1
thekingofkings
closed
6 years ago
1