0.16.0
Home
Installation
How to use this guide
Getting started
Support
User Guide
Tutorials
getML suite
Managing projects
Importing data
Annotating data
Data model
Preprocessing
Feature engineering
Predicting
Hyperparameter optimization
Deployment
API Documentation
Python API
Project management
Data handling
Database
Demo datasets
getML engine
Preprocessors
Feature learning
FastPropModel
FastPropTimeSeries
MultirelModel
validate
agg_sets
allow_sets
delta_t
grid_factor
loss_function
max_length
min_df
min_num_samples
num_features
num_subfeatures
num_threads
propositionalization
regularization
round_robin
sampling_factor
seed
share_aggregations
share_conditions
shrinkage
silent
type
use_timestamps
vocab_size
MultirelTimeSeries
RelboostModel
RelboostTimeSeries
RelMTModel
RelMTTimeSeries
aggregations
Predictors
Pipeline
Hyperopt
Command line interface
About
getML
Docs
»
Python API
»
getml.feature_learning
»
MultirelModel
»
regularization
regularization
¶
MultirelModel.
regularization
:
float
=
0.01
¶