:orphan:
.. _sphx_glr_auto_examples:
.. _general_examples:
Introductory examples
---------------------
Introductory examples for time series in general.
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.. only:: html
.. figure:: /auto_examples/images/thumb/sphx_glr_plot_ts_thumb.png
:ref:`sphx_glr_auto_examples_plot_ts.py`
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.. toctree::
:hidden:
/auto_examples/plot_ts
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.. _sphx_glr_auto_examples_approximation:
.. _approximation_examples:
Approximating time series
-------------------------
Approximation algorithms try to capture the most important information
from time series. They can be seen as simple feature extraction algorithms.
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.. only:: html
.. figure:: /auto_examples/approximation/images/thumb/sphx_glr_plot_paa_thumb.png
:ref:`sphx_glr_auto_examples_approximation_plot_paa.py`
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.. toctree::
:hidden:
/auto_examples/approximation/plot_paa
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.. only:: html
.. figure:: /auto_examples/approximation/images/thumb/sphx_glr_plot_mcb_thumb.png
:ref:`sphx_glr_auto_examples_approximation_plot_mcb.py`
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.. toctree::
:hidden:
/auto_examples/approximation/plot_mcb
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.. figure:: /auto_examples/approximation/images/thumb/sphx_glr_plot_dft_thumb.png
:ref:`sphx_glr_auto_examples_approximation_plot_dft.py`
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.. toctree::
:hidden:
/auto_examples/approximation/plot_dft
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.. figure:: /auto_examples/approximation/images/thumb/sphx_glr_plot_sax_thumb.png
:ref:`sphx_glr_auto_examples_approximation_plot_sax.py`
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.. toctree::
:hidden:
/auto_examples/approximation/plot_sax
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.. _sphx_glr_auto_examples_bag_of_words:
.. _bag_of_words_examples:
Bag-of-words transformation
---------------------------
Bag-of-words algorithms transform a sequence of symbols into a bag of words.
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.. only:: html
.. figure:: /auto_examples/bag_of_words/images/thumb/sphx_glr_plot_bow_thumb.png
:ref:`sphx_glr_auto_examples_bag_of_words_plot_bow.py`
.. raw:: html
.. toctree::
:hidden:
/auto_examples/bag_of_words/plot_bow
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.. _sphx_glr_auto_examples_classification:
.. _classification_examples:
Classification algorithms
-------------------------
Classification algorithms can directly classify raw time series.
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.. only:: html
.. figure:: /auto_examples/classification/images/thumb/sphx_glr_plot_bossvs_thumb.png
:ref:`sphx_glr_auto_examples_classification_plot_bossvs.py`
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.. toctree::
:hidden:
/auto_examples/classification/plot_bossvs
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.. figure:: /auto_examples/classification/images/thumb/sphx_glr_plot_saxvsm_thumb.png
:ref:`sphx_glr_auto_examples_classification_plot_saxvsm.py`
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.. toctree::
:hidden:
/auto_examples/classification/plot_saxvsm
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.. _sphx_glr_auto_examples_datasets:
.. _datasets_examples:
Dataset utilities
-----------------
Examples on how to load and make time series datasets.
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.. only:: html
.. figure:: /auto_examples/datasets/images/thumb/sphx_glr_plot_make_cbf_thumb.png
:ref:`sphx_glr_auto_examples_datasets_plot_make_cbf.py`
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.. toctree::
:hidden:
/auto_examples/datasets/plot_make_cbf
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.. only:: html
.. figure:: /auto_examples/datasets/images/thumb/sphx_glr_plot_load_gunpoint_thumb.png
:ref:`sphx_glr_auto_examples_datasets_plot_load_gunpoint.py`
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.. toctree::
:hidden:
/auto_examples/datasets/plot_load_gunpoint
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.. _sphx_glr_auto_examples_decomposition:
.. _decomposition_examples:
Decomposing time series
-----------------------
Decomposition algorithms decompose time series into several time series.
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.. only:: html
.. figure:: /auto_examples/decomposition/images/thumb/sphx_glr_plot_ssa_thumb.png
:ref:`sphx_glr_auto_examples_decomposition_plot_ssa.py`
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.. toctree::
:hidden:
/auto_examples/decomposition/plot_ssa
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.. _sphx_glr_auto_examples_image:
.. _image_examples:
Imaging time series
-------------------
Imaging algorithms transform time series into images.
.. raw:: html
.. only:: html
.. figure:: /auto_examples/image/images/thumb/sphx_glr_plot_rp_thumb.png
:ref:`sphx_glr_auto_examples_image_plot_rp.py`
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.. toctree::
:hidden:
/auto_examples/image/plot_rp
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.. only:: html
.. figure:: /auto_examples/image/images/thumb/sphx_glr_plot_mtf_thumb.png
:ref:`sphx_glr_auto_examples_image_plot_mtf.py`
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.. toctree::
:hidden:
/auto_examples/image/plot_mtf
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.. only:: html
.. figure:: /auto_examples/image/images/thumb/sphx_glr_plot_gaf_thumb.png
:ref:`sphx_glr_auto_examples_image_plot_gaf.py`
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.. toctree::
:hidden:
/auto_examples/image/plot_gaf
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.. _sphx_glr_auto_examples_metrics:
.. _metrics_examples:
Metrics
-------
Specific metrics for time series have been developed. The examples below
illustrate some of the implemented metrics.
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.. only:: html
.. figure:: /auto_examples/metrics/images/thumb/sphx_glr_plot_sakoe_chiba_thumb.png
:ref:`sphx_glr_auto_examples_metrics_plot_sakoe_chiba.py`
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.. toctree::
:hidden:
/auto_examples/metrics/plot_sakoe_chiba
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.. figure:: /auto_examples/metrics/images/thumb/sphx_glr_plot_itakura_thumb.png
:ref:`sphx_glr_auto_examples_metrics_plot_itakura.py`
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.. toctree::
:hidden:
/auto_examples/metrics/plot_itakura
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.. figure:: /auto_examples/metrics/images/thumb/sphx_glr_plot_dtw_thumb.png
:ref:`sphx_glr_auto_examples_metrics_plot_dtw.py`
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.. toctree::
:hidden:
/auto_examples/metrics/plot_dtw
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.. _sphx_glr_auto_examples_multivariate:
.. _multivariate_examples:
Multivariate time series
------------------------
Specific algorithms for multivariate time series have been developed.
The examples below illustrate some of the implemented ones.
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.. only:: html
.. figure:: /auto_examples/multivariate/images/thumb/sphx_glr_plot_joint_rp_thumb.png
:ref:`sphx_glr_auto_examples_multivariate_plot_joint_rp.py`
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.. toctree::
:hidden:
/auto_examples/multivariate/plot_joint_rp
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.. figure:: /auto_examples/multivariate/images/thumb/sphx_glr_plot_weasel_muse_thumb.png
:ref:`sphx_glr_auto_examples_multivariate_plot_weasel_muse.py`
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.. toctree::
:hidden:
/auto_examples/multivariate/plot_weasel_muse
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.. _sphx_glr_auto_examples_preprocessing:
.. _preprocessing_examples:
Preprocessing tools
-------------------
Preprocessing data is a common task in machine learning. The examples below
illustrate the preprocessing tools available in this module.
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.. only:: html
.. figure:: /auto_examples/preprocessing/images/thumb/sphx_glr_plot_transformers_thumb.png
:ref:`sphx_glr_auto_examples_preprocessing_plot_transformers.py`
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.. toctree::
:hidden:
/auto_examples/preprocessing/plot_transformers
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.. figure:: /auto_examples/preprocessing/images/thumb/sphx_glr_plot_imputer_thumb.png
:ref:`sphx_glr_auto_examples_preprocessing_plot_imputer.py`
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.. toctree::
:hidden:
/auto_examples/preprocessing/plot_imputer
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.. figure:: /auto_examples/preprocessing/images/thumb/sphx_glr_plot_scalers_thumb.png
:ref:`sphx_glr_auto_examples_preprocessing_plot_scalers.py`
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.. toctree::
:hidden:
/auto_examples/preprocessing/plot_scalers
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.. _sphx_glr_auto_examples_transformation:
.. _transformation_examples:
Transformation algorithms
-------------------------
Transformation algorithms try to capture the most important information
from time series using advanced transformation. They can be seen as complex
feature extraction algorithms.
.. raw:: html
.. only:: html
.. figure:: /auto_examples/transformation/images/thumb/sphx_glr_plot_shapelet_transform_thumb.png
:ref:`sphx_glr_auto_examples_transformation_plot_shapelet_transform.py`
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.. toctree::
:hidden:
/auto_examples/transformation/plot_shapelet_transform
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.. figure:: /auto_examples/transformation/images/thumb/sphx_glr_plot_boss_thumb.png
:ref:`sphx_glr_auto_examples_transformation_plot_boss.py`
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.. toctree::
:hidden:
/auto_examples/transformation/plot_boss
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.. figure:: /auto_examples/transformation/images/thumb/sphx_glr_plot_weasel_thumb.png
:ref:`sphx_glr_auto_examples_transformation_plot_weasel.py`
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.. toctree::
:hidden:
/auto_examples/transformation/plot_weasel
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.. container:: sphx-glr-footer
:class: sphx-glr-footer-gallery
.. container:: sphx-glr-download
:download:`Download all examples in Python source code: auto_examples_python.zip /home/docs/checkouts/readthedocs.org/user_builds/pyts/checkouts/0.10.0/doc/auto_examples/auto_examples_python.zip>`
.. container:: sphx-glr-download
:download:`Download all examples in Jupyter notebooks: auto_examples_jupyter.zip /home/docs/checkouts/readthedocs.org/user_builds/pyts/checkouts/0.10.0/doc/auto_examples/auto_examples_jupyter.zip>`
.. only:: html
.. rst-class:: sphx-glr-signature
`Gallery generated by Sphinx-Gallery `_