Maple CXO — Offline Simulations
8 finished runs · source: s3://maple-cxo/run-history/ · generated 2026-09-10 20:57 UTC
intelligent-collapse
use_case
8
mPPSP
placement
7
marketplace US (1)
7
bo-2
2026-09-10 16:46
jinzy
Training data
s3://maple-cxo/intelligent-collapse/mPPSP/offline/train_input/APX_ENABLE_MAPLE_FOR_PP_PRIME_MOBILE_1286721/1/v2/
Testing data
— none (held out via CV folds)
Model config
cap_quantile
1
scaler
none
select_active_customer
False
rlearner_type
direct
predict_target
y_Ind
var_config
mPPSP_Collapse_Lasso_Full
folds
5
mode
offline_train
propensity
empirical
effect_learner
ridge
effect_params.alpha
1
effect_params.fit_intercept
True
outcome_learner
lgbm
outcome_folds
10
outcome_params.n_estimators
32
outcome_params.learning_rate
0.492116
outcome_params.max_depth
-1
outcome_params.subsample
0.8
outcome_params.n_jobs
-1
outcome_params.objective
binary
outcome_params.min_data_in_leaf
79825
outcome_params.verbose
-1
outcome_params.linear_tree
False
training_run
10
ridge_standard
2026-09-10 02:31
jinzy
Training data
s3://maple-cxo/intelligent-collapse/mPPSP/offline/train_input/APX_ENABLE_MAPLE_FOR_PP_PRIME_MOBILE_1286721/1/v2/
Testing data
— none (held out via CV folds)
Model config
cap_quantile
1
scaler
standard
select_active_customer
False
rlearner_type
direct
predict_target
y_Ind
var_config
mPPSP_Collapse_Lasso_Full
folds
5
mode
offline_train
propensity
empirical
effect_learner
ridge
effect_params.alpha
1
effect_params.fit_intercept
True
outcome_learner
lgbm
outcome_folds
10
outcome_params.n_estimators
100
outcome_params.learning_rate
0.01
outcome_params.max_depth
-1
outcome_params.subsample
0.8
outcome_params.n_jobs
-1
outcome_params.objective
binary
outcome_params.min_data_in_leaf
200000
outcome_params.verbose
-1
training_run
20
ridge_minmax
2026-09-10 02:30
jinzy
Training data
s3://maple-cxo/intelligent-collapse/mPPSP/offline/train_input/APX_ENABLE_MAPLE_FOR_PP_PRIME_MOBILE_1286721/1/v2/
Testing data
— none (held out via CV folds)
Model config
cap_quantile
1
scaler
minmax
select_active_customer
False
rlearner_type
direct
predict_target
y_Ind
var_config
mPPSP_Collapse_Lasso_Full
folds
5
mode
offline_train
propensity
empirical
effect_learner
ridge
effect_params.alpha
1
effect_params.fit_intercept
True
outcome_learner
lgbm
outcome_folds
10
outcome_params.n_estimators
100
outcome_params.learning_rate
0.01
outcome_params.max_depth
-1
outcome_params.subsample
0.8
outcome_params.n_jobs
-1
outcome_params.objective
binary
outcome_params.min_data_in_leaf
200000
outcome_params.verbose
-1
training_run
20
ridge_none
2026-09-10 02:30
jinzy
Training data
s3://maple-cxo/intelligent-collapse/mPPSP/offline/train_input/APX_ENABLE_MAPLE_FOR_PP_PRIME_MOBILE_1286721/1/v2/
Testing data
— none (held out via CV folds)
Model config
cap_quantile
1
scaler
none
select_active_customer
False
rlearner_type
direct
predict_target
y_Ind
var_config
mPPSP_Collapse_Lasso_Full
folds
5
mode
offline_train
propensity
empirical
effect_learner
ridge
effect_params.alpha
1
effect_params.fit_intercept
True
outcome_learner
lgbm
outcome_folds
10
outcome_params.n_estimators
100
outcome_params.learning_rate
0.01
outcome_params.max_depth
-1
outcome_params.subsample
0.8
outcome_params.n_jobs
-1
outcome_params.objective
binary
outcome_params.min_data_in_leaf
200000
outcome_params.verbose
-1
training_run
20
mppsp_scaler_standard
2026-09-09 18:23
jinzy
Training data
s3://maple-cxo/intelligent-collapse/mPPSP/offline/train_input/APX_ENABLE_MAPLE_FOR_PP_PRIME_MOBILE_1286721/1/v2/
Testing data
— none (held out via CV folds)
Model config
cap_quantile
1
scaler
standard
select_active_customer
False
rlearner_type
direct
predict_target
y_Ind
var_config
mPPSP_Collapse_Lasso_Full
folds
5
mode
offline_train
propensity
empirical
effect_learner
lasso
effect_params.alpha
1
effect_params.fit_intercept
True
outcome_learner
lgbm
outcome_folds
10
outcome_params.n_estimators
100
outcome_params.learning_rate
0.01
outcome_params.max_depth
-1
outcome_params.subsample
0.8
outcome_params.n_jobs
-1
outcome_params.objective
binary
outcome_params.min_data_in_leaf
200000
outcome_params.verbose
-1
training_run
20
mppsp_scaler_minmax
2026-09-09 18:23
jinzy
Training data
s3://maple-cxo/intelligent-collapse/mPPSP/offline/train_input/APX_ENABLE_MAPLE_FOR_PP_PRIME_MOBILE_1286721/1/v2/
Testing data
— none (held out via CV folds)
Model config
cap_quantile
1
scaler
minmax
select_active_customer
False
rlearner_type
direct
predict_target
y_Ind
var_config
mPPSP_Collapse_Lasso_Full
folds
5
mode
offline_train
propensity
empirical
effect_learner
lasso
effect_params.alpha
1
effect_params.fit_intercept
True
outcome_learner
lgbm
outcome_folds
10
outcome_params.n_estimators
100
outcome_params.learning_rate
0.01
outcome_params.max_depth
-1
outcome_params.subsample
0.8
outcome_params.n_jobs
-1
outcome_params.objective
binary
outcome_params.min_data_in_leaf
200000
outcome_params.verbose
-1
training_run
20
mppsp_us_benchmark
2026-09-08 16:59
jinzy
Training data
s3://maple-cxo/intelligent-collapse/mPPSP/offline/train_input/APX_ENABLE_MAPLE_FOR_PP_PRIME_MOBILE_1286721/1/v2/
Testing data
— none (held out via CV folds)
Model config
cap_quantile
1
scaler
none
select_active_customer
False
rlearner_type
direct
predict_target
y_Ind
var_config
mPPSP_Collapse_Lasso_Full
folds
5
mode
offline_train
propensity
empirical
effect_learner
lasso
effect_params.alpha
1
effect_params.fit_intercept
True
outcome_learner
lgbm
outcome_folds
10
outcome_params.n_estimators
100
outcome_params.learning_rate
0.01
outcome_params.max_depth
-1
outcome_params.subsample
0.8
outcome_params.n_jobs
-1
outcome_params.objective
binary
outcome_params.min_data_in_leaf
200000
outcome_params.verbose
-1
training_run
20
mSPC
placement
1
marketplace US (1)
1
20260904
2026-09-09 18:56
jinzy
Training data
s3://maple-cxo/intelligent-collapse/mSPC/offline/train_input/MAPLE_SPC_MOBILE_DEEPEN_SHOWRATE_1351348/1/v2_prime/
Testing data
s3://maple-cxo/intelligent-collapse/mSPC/offline/train_input/MAPLE_UPSELL_CHECKOUT_SPC_TANGO_MOBILE_EASYWEBLAB_OPSITEST2_984154/1/v3_prime/
Model config
cap_quantile
0.999
scaler
none
select_active_customer
False
rlearner_type
direct
var_config
mSPC_Collapse_Lasso
folds
5
mode
online_train_test_inference
propensity
empirical
effect_learner
lasso
effect_params.alpha
1
effect_params.fit_intercept
True
outcome_learner
lgbm
outcome_folds
10
outcome_params.n_estimators
100
outcome_params.learning_rate
1
outcome_params.max_depth
-1
outcome_params.subsample
0.8
outcome_params.n_jobs
-1
outcome_params.objective
huber
outcome_params.alpha
500
outcome_params.linear_tree
True
outcome_params.min_data_in_leaf
140000
outcome_params.verbose
-1
training_run
20
Select one or more runs to build a dashboard.