sg.xval_split_data: Cross-Validation Data Splitter
In neurodata/wssg: Signal Subgraphs and Extensions
Description
Usage
Arguments
Value
Description
sg.bern.xval_split_data Bernoulli Subgraph Classifier with Cross Validation to determine the optimal subgraph.
Usage
1
sg.xval_split_data(samp, Y, holdout)
Arguments
samp
[n x n x s] an array of input data.
Y
[s] the class labels.
holdout
[z] the examples to hold out for the validation set.
Value
train_set [n x n x (s - z)] the training examples.
train_y [(s - z)] the labels for the training set.
test_set [n x n x s] the testing examples.
test_y [s] the labels for the testing set.
neurodata/wssg documentation built on May 16, 2019, 10:05 a.m.
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Description Usage Arguments Value
Description
sg.bern.xval_split_data Bernoulli Subgraph Classifier with Cross Validation to determine the optimal subgraph.
Usage
1 | sg.xval_split_data(samp, Y, holdout)
|
Arguments
samp |
[n x n x s] an array of input data. |
Y |
[s] the class labels. |
holdout |
[z] the examples to hold out for the validation set. |
Value
train_set [n x n x (s - z)] the training examples.
train_y [(s - z)] the labels for the training set.
test_set [n x n x s] the testing examples.
test_y [s] the labels for the testing set.
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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