andosa treeinterpreter issues

andosa / treeinterpreter

BSD 3-Clause "New" or "Revised" License

745 stars 140 forks source link

issues

Newest

Newest Most commented Recently updated Oldest Least commented Least recently updated

No support XGBClassifier ('XGBClassifier' object has no attribute 'n_outputs_')

#45 lizapovaliaeva opened 4 months ago
0
Class order

#44 JacobWren closed 1 year ago
0
Treeinterpreter class interface

#43 geoochi closed 1 year ago
0
Optimizes mean calculation routine in _predict_tree and _predict_forest and format treeinterpreter python file

#42 geoochi closed 1 year ago
0
Does this package work with xgboost model?

#41 stb-f5c opened 2 years ago
0
Error when predicting with a RandomForest that its first trees were trained only on some of the data classes (batched training)

#40 aiah123 opened 3 years ago
0
Fix shape of pred in DecisionTreeRegressor; closes issue #32

#39 juliangilbey closed 3 years ago
0
Minimum python version?

#38 philip-khor opened 3 years ago
0
New release

#37 Strandtasche closed 3 years ago
2
Python 3.6 + sklearn 0.24

#36 fsan closed 3 years ago
2
Support for pipeline objects

#35 venkyyuvy opened 4 years ago
0
Add unreferenced dependencies

#34 philip-khor opened 4 years ago
0
Most recent version not installed with pip

#33 serenalotreck opened 4 years ago
1
Tests?

#32 jimfulton closed 3 years ago
2
Performance?

#31 jimfulton opened 4 years ago
1
Replace usage of ForestClassifier and ForestRegressor with concrete classes

#30 iamDecode closed 4 years ago
0
Silence sklearn 0.22+ FutureWarning

#29 iamDecode closed 4 years ago
0
paralleled the prediction

#28 michelegentili93 opened 4 years ago
0
Home page use example code error.

#27 lugq1990 opened 5 years ago
0
Adding a CITATION file.

#26 Nikoleta-v3 opened 5 years ago
0
Adding a CITATION file.

#25 Nikoleta-v3 opened 5 years ago
0
Optimizes mean calculation routine in treeinterpreter/treeinterpreter.py

#24 VolodymyrOrlov closed 5 years ago
0
Should aggregation be the sum over absolute contributions?

#23 chathika opened 5 years ago
0
How is joint contribution calculated over deep tree? How to set max number of elements in joint set, i.e. to doublets or triplets, over a deep tree?

#22 lynnyi opened 5 years ago
0
'RandomForestRegressor' object has no attribute 'n_outputs_' needed for the predict function

#21 antoinecomp opened 5 years ago
1
Getting "ValueError: Wrong model type" when I try to run predict function

#20 istorch closed 5 years ago
2
AxisError: axis 1 is out of bounds for array of dimension 1 while using RandomForestClassifier

#19 erastogi opened 6 years ago
1
UnboundLocalError of line_shape variable while using ExtraTreeClassifier

#18 karanranawat opened 6 years ago
0
Increase version number from 0.2.1 to 0.2.2

#17 EsterDanielYtterbrink opened 6 years ago
0
joint_contribution attributes is not documented

#16 chanansh opened 6 years ago
0
Added Option to Output Aggregated Contributions

#15 jbaez1212 opened 6 years ago
0
Support for H20 Random Forest Model

#14 vb8190 opened 7 years ago
0
IForest Supporting

#13 herbertwang-me opened 7 years ago
0
Fixed a crash on trees with depth of 0.

#12 mickey946 closed 6 years ago
1
Add support for more sklearn trees

#11 micahjsmith closed 7 years ago
0
Feature Importance per Class

#10 EasonSun opened 7 years ago
0
improve the efficiency of tree leaf contribution calculation

#9 SauceCat closed 6 years ago
0
Feature contribution

#8 lyvt opened 8 years ago
0
Gradient boosting implementation

#7 marcbllv closed 1 year ago
3
Application to GradientBoostingTree class

#6 roeldobbe opened 8 years ago
1
Cache

#5 sjwhitworth closed 8 years ago
0
ValueError: 'axis' entry is out of bounds

#4 m-guggenmos opened 8 years ago
1
Add support for using joblib to parallelize predictions

#3 pjbull closed 8 years ago
3
fix IndexError if tree value is squeezed into a single float

#2 janrygl closed 9 years ago
1
fix typo

#1 marctollin closed 9 years ago
0