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README.md
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- split: test
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path: data/test-*
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- split: test
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path: data/test-*
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---
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# Random Function Dataset
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## Dataset Summary
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The Random Function dataset is a collection of random functions. The dataset is
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generated using Gaussian random fields.
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Plot from the dataset:
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![Random Function Dataset](plot.png)
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## Dataset Structure
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The dataset is structured as follows.
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### Subsets
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The dataset has one subset:
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- `default`: the default dataset.
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### Splits
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The dataset is divided into two splits:
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- `train`: the training split, consisting of 10,000 rows.
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- `test`: the test split, consisting of 1,000 rows.
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### Columns
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Each row in the dataset consists of the following columns:
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- `X`: the input value of the function f.
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- `y`: the value of the function f at X.
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### Data
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The dataset contains the following data:
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| Column | Shape | Type |
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|---------|---------|---------|
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| X | (100,) | float |
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| y | (100,) | float |
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