Benchmark multi-model/multi-view models.
Note
This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the gallery for the big picture.
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mmbench.baseline.pls.train_pls(dataset, datasetdir, outdir, fit_lat_dims=3, n_iter=10, random_state=None)[source]ΒΆ Train the PLS model
- Parameters
dataset : str
the dataset name: euaims or hbn.
datasetdir : str
the path to the dataset associated data.
outdir : str
the destination folder.
fit_lat_dims : int, default 3
the number of latent dimensions.
n_iter : int, default 10
the number of trained models.
random_state : list of int, default None
controls the shuffling applied to the data before applying the split. Pass a list of n_sampoles int for reproducible output across multiple function calls.
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