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diff --git a/docs/api_reference_RFFGPC.html b/docs/api_reference_RFFGPC.html index 0bf86b4..7baeb0e 100644 --- a/docs/api_reference_RFFGPC.html +++ b/docs/api_reference_RFFGPC.html @@ -1,29 +1,42 @@ - + + + + + + + + RFFLearn: User's Manual - API Reference - RFFGPC + + + + + +
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diff --git a/docs/api_reference_RFFPCA.html b/docs/api_reference_RFFPCA.html index f3be1a4..b1db8f4 100644 --- a/docs/api_reference_RFFPCA.html +++ b/docs/api_reference_RFFPCA.html @@ -1,29 +1,42 @@ - + + + + + + + + RFFLearn: User's Manual - API Reference - RFFPCA + + + + + +
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diff --git a/docs/api_reference_RFFRegression.html b/docs/api_reference_RFFRegression.html index 18608ae..e18baef 100644 --- a/docs/api_reference_RFFRegression.html +++ b/docs/api_reference_RFFRegression.html @@ -2,28 +2,42 @@ + + + + + + + + RFFLearn: User's Manual - API Reference - RFFRegression + + + + + +
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diff --git a/docs/index.html b/docs/index.html index fa8c282..4f9b8b2 100644 --- a/docs/index.html +++ b/docs/index.html @@ -1,24 +1,38 @@ - + + + + + + + + RFFLearn: User's Manual - - + + + + + + + + +
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Tutorials

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Setting Up

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Setting Up

Build development environment for RFFLearn. The author recommend to use Docker, but you can build on your environment if you don't mind to pollute your environment.

See more details >>

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Setting Up

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Quick Start

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Quick Start

Try RFFlearn from a tiny code (7 lines!). RFFLearn will be easily acceptable for many ML developers because the usage of RFFLearn is quite close to Scikit-learn.

See more details >>

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Quick Start

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Minimal Examples

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Minimal Examples

Collection of code snippets for RFF-based models, hyperparameter tuners, and feature importance visualizers. See the section below for more practical examples.

See more details >>

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Practical Examples

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Least square regression with random Fourier features

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Practical Examples

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Gaussian process regression with random Fourier features

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Practical Examples

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Support vector classifier with random Fourier features for the MNIST dataset

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Practical Examples

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Gaussian process classifier with random Fourier features for the MNIST dataset

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Practical Examples

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Principal component analysis (PCA) with random Fourier features for Swiss roll dataset

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Practical Examples

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Canonical correlation analysis (CCA) with random Fourier features

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Practical Examples

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Automatic hyperparameter tuning for California housing dataset

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Practical Examples

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Feature importance of RFF-based regressor for California housing dataset

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