fit_predict: Call fit and predict in sequence.
In thllwg/tpotr: An R-Wrapper for the Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming (TPOT)
Description
Call fit and predict in sequence.
Usage
1
fit_predict(obj, features, target, sample_weight = NULL, group = NULL)
Arguments
obj
A TPOTClassifier or a TPOTRegressor
target
List of class labels for prediction
group
Group labels for the samples used when performing cross-validation.
This parameter should only be used in conjunction with sklearn's Group cross-validation
functions, such as sklearn.model_selection.GroupKFold
thllwg/tpotr documentation built on July 5, 2019, 12:49 a.m.
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Description
Call fit and predict in sequence.
Usage
1 | fit_predict(obj, features, target, sample_weight = NULL, group = NULL)
|
Arguments
obj |
A |
target |
List of class labels for prediction |
group |
Group labels for the samples used when performing cross-validation. This parameter should only be used in conjunction with sklearn's Group cross-validation functions, such as sklearn.model_selection.GroupKFold |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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