GitHub / andosa/treeinterpreter issues and pull requests
#45 - No support XGBClassifier ('XGBClassifier' object has no attribute 'n_outputs_')
Issue -
State: open - Opened by lizapovaliaeva about 1 year ago
#44 - Class order
Issue -
State: closed - Opened by JacobWren over 1 year ago
#43 - Treeinterpreter class interface
Pull Request -
State: closed - Opened by szchixy about 2 years ago
#42 - Optimizes mean calculation routine in _predict_tree and _predict_forest and format treeinterpreter python file
Pull Request -
State: closed - Opened by szchixy about 2 years ago
#41 - Does this package work with xgboost model?
Issue -
State: open - Opened by stb-f5c over 2 years ago
#40 - Error when predicting with a RandomForest that its first trees were trained only on some of the data classes (batched training)
Issue -
State: open - Opened by aiah123 about 4 years ago
#39 - Fix shape of pred in DecisionTreeRegressor; closes issue #32
Pull Request -
State: closed - Opened by juliangilbey over 4 years ago
#38 - Minimum python version?
Issue -
State: open - Opened by philip-khor over 4 years ago
#37 - New release
Issue -
State: closed - Opened by Strandtasche over 4 years ago
- 2 comments
#36 - Python 3.6 + sklearn 0.24
Issue -
State: closed - Opened by fsan over 4 years ago
- 2 comments
#35 - Support for pipeline objects
Issue -
State: open - Opened by venkyyuvy over 4 years ago
#34 - Add unreferenced dependencies
Pull Request -
State: open - Opened by philip-khor almost 5 years ago
#33 - Most recent version not installed with pip
Issue -
State: open - Opened by serenalotreck almost 5 years ago
- 1 comment
#32 - Tests?
Issue -
State: closed - Opened by jimfulton almost 5 years ago
- 2 comments
#31 - Performance?
Issue -
State: open - Opened by jimfulton almost 5 years ago
- 1 comment
#30 - Replace usage of ForestClassifier and ForestRegressor with concrete classes
Pull Request -
State: closed - Opened by iamDecode about 5 years ago
#29 - Silence sklearn 0.22+ FutureWarning
Pull Request -
State: closed - Opened by iamDecode about 5 years ago
#28 - paralleled the prediction
Pull Request -
State: open - Opened by michelegentili93 over 5 years ago
#27 - Home page use example code error.
Issue -
State: open - Opened by lugq1990 almost 6 years ago
#26 - Adding a CITATION file.
Pull Request -
State: open - Opened by Nikoleta-v3 about 6 years ago
#25 - Adding a CITATION file.
Issue -
State: open - Opened by Nikoleta-v3 about 6 years ago
#24 - Optimizes mean calculation routine in treeinterpreter/treeinterpreter.py
Pull Request -
State: closed - Opened by VolodymyrOrlov about 6 years ago
#23 - Should aggregation be the sum over absolute contributions?
Issue -
State: open - Opened by chathika over 6 years ago
#22 - 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?
Issue -
State: open - Opened by lynnyi over 6 years ago
#21 - 'RandomForestRegressor' object has no attribute 'n_outputs_' needed for the predict function
Issue -
State: open - Opened by antoinecomp over 6 years ago
- 1 comment
#20 - Getting "ValueError: Wrong model type" when I try to run predict function
Issue -
State: closed - Opened by istorch over 6 years ago
- 2 comments
#19 - AxisError: axis 1 is out of bounds for array of dimension 1 while using RandomForestClassifier
Issue -
State: open - Opened by erastogi over 6 years ago
- 1 comment
#18 - UnboundLocalError of line_shape variable while using ExtraTreeClassifier
Issue -
State: open - Opened by karanranawat almost 7 years ago
#17 - Increase version number from 0.2.1 to 0.2.2
Pull Request -
State: open - Opened by EsterDanielYtterbrink about 7 years ago
#16 - joint_contribution attributes is not documented
Issue -
State: open - Opened by chanansh about 7 years ago
#15 - Added Option to Output Aggregated Contributions
Pull Request -
State: open - Opened by jbaez1212 about 7 years ago
#14 - Support for H20 Random Forest Model
Issue -
State: open - Opened by vb8190 over 7 years ago
#13 - IForest Supporting
Issue -
State: open - Opened by herbertwang-me almost 8 years ago
#12 - Fixed a crash on trees with depth of 0.
Pull Request -
State: closed - Opened by mickey946 almost 8 years ago
- 1 comment
#11 - Add support for more sklearn trees
Pull Request -
State: closed - Opened by micahjsmith about 8 years ago
#10 - Feature Importance per Class
Issue -
State: open - Opened by EasonSun over 8 years ago
#9 - improve the efficiency of tree leaf contribution calculation
Pull Request -
State: closed - Opened by SauceCat over 8 years ago
#8 - Feature contribution
Issue -
State: open - Opened by lyvt almost 9 years ago
#7 - Gradient boosting implementation
Pull Request -
State: closed - Opened by marcbllv almost 9 years ago
- 3 comments
#6 - Application to GradientBoostingTree class
Issue -
State: open - Opened by roeldobbe about 9 years ago
- 1 comment
#5 - Cache
Pull Request -
State: closed - Opened by sjwhitworth over 9 years ago
#4 - ValueError: 'axis' entry is out of bounds
Issue -
State: open - Opened by m-guggenmos over 9 years ago
- 1 comment
#3 - Add support for using joblib to parallelize predictions
Pull Request -
State: closed - Opened by pjbull over 9 years ago
- 3 comments
#2 - fix IndexError if tree value is squeezed into a single float
Pull Request -
State: closed - Opened by janrygl over 9 years ago
- 1 comment
#1 - fix typo
Pull Request -
State: closed - Opened by marctollin over 9 years ago