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Minyus
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causallift
CausalLift: Python package for causality-based Uplift Modeling in real-world business
https://causallift.readthedocs.io/
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Getting Json Formatter error
#25
ukamath
opened
1 year ago
1
pipeline issue (Kedro?)
#24
Peccer
opened
1 year ago
1
XGBooster Invalid missing value: null
#23
Peccer
opened
1 year ago
1
TypeError: run() missing 1 required positional argument: 'hook_manager'
#22
ya-stack
closed
2 years ago
2
ValueError: Input contains NaN, infinity or a value too large for dtype('float64').
#21
arsine1996
closed
2 years ago
2
A question about train.df and test.df
#20
Jami1141
closed
2 years ago
1
How do we can give separtae scale_pos_weight for two separated models?
#19
Jami1141
closed
3 years ago
1
Error regarding to base_score
#18
Jami1141
closed
4 years ago
2
Examples with Observational data
#17
XmataAdmin
closed
3 years ago
2
Question Code & Result
#16
sjioisjcdsc
closed
3 years ago
6
cl.estimate_cate_by_2_models() does not work with XGBoost version 1.0.2
#15
kennethverstraete
closed
4 years ago
4
Is there a causal modeling for multiple treatments?
#14
Jami1141
closed
4 years ago
5
Some clarification about the code
#13
Jami1141
closed
4 years ago
14
Order of features in train and new data
#12
Jami1141
closed
4 years ago
5
Generated data are random data?
#11
Jami1141
closed
4 years ago
3
Using Causallift for later predition
#10
Jami1141
closed
4 years ago
23
A clear explanation
#9
Jami1141
closed
4 years ago
1
The effect of Stratify = ['Treatment']
#8
Jami1141
closed
4 years ago
3
The robustness of uplift
#7
crystalowl
closed
4 years ago
1
CATE vs Propensity
#6
soliverc
closed
4 years ago
5
Handle imbalance
#5
jroessler
closed
4 years ago
10
Add Kedro-Viz as a dependency
#4
921kiyo
closed
4 years ago
0
Merge branch 'v1.0' into master
#3
Minyus
closed
5 years ago
0
Utility functions unit test
#2
farismosman
closed
5 years ago
0
estimate_cate_by_2_models crashes when col_propensity is provided in the data and enable_ipw=False
#1
farismosman
closed
5 years ago
1