S5TF general helper utilities
Data loaders are objects that load data and make it iterable in mini batches. It is possible to create a custom data loader tailored for your specific needs or you can use one of the default data loaders available:
An example of using a data loader (inspired by UCI Iris):
let dataLoader = CSVDataLoader(fromFileAt: URL(string: "~/.s5tf-datasets/iris/iris.csv")!,
columnNames: ["sepal length in cm",
"sepal width",
"petal length",
"petal width",
"species"],
featureColumnNames: ["sepal length in cm",
"sepal width",
"petal length",
"petal width"],
labelColumnNames: ["species"])
for batch in dataLoader.batched(32) {
print(batch.data, batch.labels)
}
Check out s5tf-team/datasets for predefined data loaders for a selection of public datasets.
Thanks for even considering contributing.
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jazzy \
--author S5TF Team \
--author_url http://s5tf-team.github.io \
--github_url https://github.com/s5tf-team/ \
--theme fullwidth
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