Issues
- 0
No support XGBClassifier ('XGBClassifier' object has no attribute 'n_outputs_')
#45 opened by lizapovaliaeva - 0
Class order
#44 opened by JacobWren - 1
'RandomForestRegressor' object has no attribute 'n_outputs_' needed for the predict function
#21 opened by antoinecomp - 0
Does this package work with xgboost model?
#41 opened by stb-f5c - 1
Performance?
#31 opened by jimfulton - 0
Error when predicting with a RandomForest that its first trees were trained only on some of the data classes (batched training)
#40 opened by aiah123 - 2
- 2
New release
#37 opened by Strandtasche - 0
Minimum python version?
#38 opened by philip-khor - 2
Python 3.6 + sklearn 0.24
#36 opened by fsan - 1
Most recent version not installed with pip
#33 opened by serenalotreck - 0
Support for pipeline objects
#35 opened by venkyyuvy - 0
Home page use example code error.
#27 opened by lugq1990 - 0
Adding a CITATION file.
#25 opened by Nikoleta-v3 - 0
- 1
AxisError: axis 1 is out of bounds for array of dimension 1 while using RandomForestClassifier
#19 opened by erastogi - 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 opened by lynnyi - 2
- 0
- 0
joint_contribution attributes is not documented
#16 opened by chanansh - 0
Support for H20 Random Forest Model
#14 opened by vb8190 - 0
IForest Supporting
#13 opened by herbertwang-me - 1
ValueError: 'axis' entry is out of bounds
#4 opened by m-guggenmos - 0
Feature Importance per Class
#10 opened by EasonSun - 0
Feature contribution
#8 opened by lyvt - 1
Application to GradientBoostingTree class
#6 opened by roeldobbe