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add lightgbm.booster support #270

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add lightgbm.booster support #270

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d369977
add lightgbm.booster support
qh582 May 29, 2018
cc5b7a4
Merge pull request #1 from qh582/qh582-lightgbm-booster
qh582 May 29, 2018
9c2bb8e
fix bug
qh582 May 29, 2018
9c31a99
bug fix
qh582 May 29, 2018
a042650
fix build for typing
qh582 May 29, 2018
72a50a2
add _check_booster_args test
qh582 May 30, 2018
bb19a4f
add explain_weights test for booster
qh582 May 30, 2018
4bf2f6d
Merge pull request #2 from qh582/qh582-lightgbm-booster
qh582 May 30, 2018
ef991cf
correct is_regression
qh582 May 30, 2018
45379f5
add explain_prediction test for regression booster
qh582 May 30, 2018
a35e5c8
Merge pull request #3 from qh582/qh582-test
qh582 May 30, 2018
0bbf3e2
add booster multiclass test
qh582 May 30, 2018
fa1eccd
fix booster binary case
qh582 May 31, 2018
f053399
add test_explain_prediction_booster_binary
qh582 May 31, 2018
87438d4
remove redundant code
qh582 May 31, 2018
3c213e9
add _lgb_n_targets test
qh582 May 31, 2018
866015a
Merge pull request #4 from qh582/qh582-lightgbm-booster
qh582 May 31, 2018
802e543
Update docs
qh582 May 31, 2018
5155979
update docs
qh582 May 31, 2018
6f1ee40
Merge branch 'master' into qh582-lightgbm-booster
qh582 May 31, 2018
0a488e3
update booster is_regression
qh582 May 31, 2018
19e9bf3
Merge branch 'master' into qh582-lightgbm-booster
qh582 Jun 5, 2018
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add explain_prediction test for regression booster
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@qh582
qh582 authored May 30, 2018
commit 45379f50ebe37b929c4f6696c6a83c3b0985033e
11 changes: 11 additions & 0 deletions tests/test_lightgbm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -20,6 +20,7 @@
)
from .test_sklearn_explain_prediction import (
assert_linear_regression_explained,
assert_trained_linear_regression_explained,
test_explain_prediction_pandas as _check_explain_prediction_pandas,
test_explain_clf_binary_iris as _check_binary_classifier,
)
Expand Down Expand Up @@ -193,3 +194,13 @@ def test_explain_lightgbm_booster(boston_train):
res = explain_weights(booster, feature_names=feature_names)
for expl in format_as_all(res, booster):
assert 'LSTAT' in expl

def test_explain_prediction_reg_booster(boston_train):
X, y, feature_names = boston_train
booster = lightgbm.train(
params={'objective': 'regression', 'verbose_eval': -1},
train_set=lightgbm.Dataset(X, label=y),
)
assert_trained_linear_regression_explained(
X[0], feature_names, booster, explain_prediction,
reg_has_intercept=True)