Operalib
0.1
  • API Documentation
  • General examples
    • Joint quantile regression with operator-valued kernels
    • Multi-output Operator-valued kernel Regression
    • Data sparse quantile regression with operator-valued kernels
    • Online Learning with Operator-Valued kernels
    • Vector-field Learning with structured output kernel
    • Vector-field Learning with structured output kernel
  • Reference papers
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General examplesΒΆ

Introductory examples.

../_images/sphx_glr_plot_ovk_quantile_regression_thumb.png

Joint quantile regression with operator-valued kernels

../_images/sphx_glr_plot_ovk_regression_multiple_outputs_thumb.png

Multi-output Operator-valued kernel Regression

../_images/sphx_glr_plot_ovk_sparse_quantile_regression_thumb.png

Data sparse quantile regression with operator-valued kernels

../_images/sphx_glr_plot_ovk_onorma_thumb.png

Online Learning with Operator-Valued kernels

../_images/sphx_glr_plot_ovk_regression_cf_thumb.png

Vector-field Learning with structured output kernel

../_images/sphx_glr_plot_ovk_regression_cf_semisup_thumb.png

Vector-field Learning with structured output kernel

Download all examples in Python source code: auto_examples_python.zip
Download all examples in Jupyter notebooks: auto_examples_jupyter.zip

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