HyperGBM
0.2.3
Overview
Installation
Quick Start
Examples
Basic applications
Advanced applications
Handling Imbalanced Data
Defining SearchSpace
Distributed training
How-To
Released Notes
HyperGBM
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Examples
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Examples
ΒΆ
Basic applications
Create and Run an Experiment
Set the Number of Search Trials
Use Cross Validation
Evaluation dataset
Set the Evaluation Criterion
Set the Early Stopping
Choose a Searcher
Ensemble Models
Change the log level
Advanced applications
Data cleaning
Feature generation
Collinearity detection
Drift detection
Feature selection
UnderSampling pre-search
The second stage feature selection
Pseudo label
Handling Imbalanced Data
Adopt ClassWeight
UnderSampling and OverSampling
Defining SearchSpace
Define Search Space
Support Machine Learning Models
Distributed training
Quick Experiment
Define Search Space
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v: 0.2.3
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