tkrabel / python_random_boost Goto Github PK
View Code? Open in Web Editor NEWA Random Boost implementation based on sklearn
A Random Boost implementation based on sklearn
model = RandomBoostingRegressor()
rb = GridSearchCV(model, param_grid={'n_estimators':[75, 100, 150]}, cv=5)
rb = rb.fit(X_train, y_train)
This code fails with an IndexError
File ".../python_random_boost/random_boost/random_boost.py", line 1183, in _fit_stage self.depths_[i] = depth
IndexError: index 100 is out of bounds for axis 0 with size 100
The reason is that RandomBoostingRegressor() is initialized with n_estimators=100
, and it seems GridSearchCV() is not able to properly overwrite n_estimators
when searching the grid (hence leading to an error when it tries out n_estimators=150
. This is not a problem with GradientBoostingRegressor(), which has the same default value for n_estimators
.
In essence, the problem is related to the fact that I create a vector in which I save the drawn tree depth values. The length of this vector equals n_estimators
and seems to be set to 100 independent from the actual value tried out by GridSearchCV.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.