Comments (2)
Thank you for your feedback. Can you maybe explain why you think that?
All model parameters are stored in results. Example:
from hgboost import hgboost
hg = hgboost(max_eval=10, threshold=0.5, cv=5, test_size=0.2, val_size=0.2, top_cv_evals=10, random_state=None, verbose=3)
df = hg.import_example()
y = df['Survived'].values
del df['Survived']
X = hg.preprocessing(df, verbose=0)
# Fit
results = hg.xgboost(X, y, pos_label=1)
print(hg.results.keys())
#dict_keys(['params', 'summary', 'trials', 'model', 'val_results', 'comparison_results'])
# To see best parameters
hg.results['params']
# To see all hyperparameters that are evaluated
hg.results['summary']
from hgboost.
Please re-open if desired.
from hgboost.
Related Issues (18)
- Getting the native model for compatibility with shap.TreeExplainer HOT 2
- Hgboost on GPU HOT 1
- Treeplot failure - missing graphviz dependency HOT 2
- hgb.plot command returns seaborn regplot error HOT 2
- ValueError: Target is multiclass but average='binary'. Please choose another average setting, one of [None, 'micro', 'macro', 'weighted'].
- numpy.AxisError: axis 1 is out of bounds for array of dimension 1
- TypeError: LGBMRegressor.fit() got an unexpected keyword argument 'early_stopping_rounds' HOT 1
- hgb.plot_params() graphs are not complete
- hgboost installation error HOT 3
- The following issues occur when installing hgboost using anaconda
- Test:Validation:Train split HOT 3
- Error in rmse calculaiton HOT 1
- import error during import hgboost HOT 3
- Specific data results problem HOT 2
- Running regression example error HOT 1
- issue with shuffling results and loading model HOT 3
- HP Tuning: best_model uses different parameters from those that were reported as best ones HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from hgboost.