

Examples using ``imblearn.pipeline.Pipeline.fit``
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^


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    <div class="sphx-glr-thumbnails">


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    <div class="sphx-glr-thumbcontainer" tooltip="Some balancing methods allow for balancing dataset with multiples classes. We provide an exampl...">

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  .. image:: /auto_examples/applications/images/thumb/sphx_glr_plot_multi_class_under_sampling_thumb.png
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  :ref:`sphx_glr_auto_examples_applications_plot_multi_class_under_sampling.py`

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      <div class="sphx-glr-thumbnail-title">Multiclass classification with under-sampling</div>
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 * :ref:`sphx_glr_auto_examples_applications_plot_multi_class_under_sampling.py`

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    <div class="sphx-glr-thumbcontainer" tooltip="This example shows how to balance the text data before to train a classifier.">

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  .. image:: /auto_examples/applications/images/thumb/sphx_glr_plot_topic_classication_thumb.png
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  :ref:`sphx_glr_auto_examples_applications_plot_topic_classication.py`

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      <div class="sphx-glr-thumbnail-title">Example of topic classification in text documents</div>
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 * :ref:`sphx_glr_auto_examples_applications_plot_topic_classication.py`

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    <div class="sphx-glr-thumbcontainer" tooltip="This example illustrates the use of a custom sampler to implement an outlier rejections estimat...">

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  .. image:: /auto_examples/applications/images/thumb/sphx_glr_plot_outlier_rejections_thumb.png
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  :ref:`sphx_glr_auto_examples_applications_plot_outlier_rejections.py`

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      <div class="sphx-glr-thumbnail-title">Customized sampler to implement an outlier rejections estimator</div>
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 * :ref:`sphx_glr_auto_examples_applications_plot_outlier_rejections.py`

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    <div class="sphx-glr-thumbcontainer" tooltip="In this face recognition example two faces are used from the LFW (Faces in the Wild) dataset. S...">

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  .. image:: /auto_examples/applications/images/thumb/sphx_glr_plot_over_sampling_benchmark_lfw_thumb.png
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  :ref:`sphx_glr_auto_examples_applications_plot_over_sampling_benchmark_lfw.py`

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      <div class="sphx-glr-thumbnail-title">Benchmark over-sampling methods in a face recognition task</div>
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 * :ref:`sphx_glr_auto_examples_applications_plot_over_sampling_benchmark_lfw.py`

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    <div class="sphx-glr-thumbcontainer" tooltip="Specific metrics have been developed to evaluate classifier which has been trained using imbala...">

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  .. image:: /auto_examples/evaluation/images/thumb/sphx_glr_plot_classification_report_thumb.png
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  :ref:`sphx_glr_auto_examples_evaluation_plot_classification_report.py`

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      <div class="sphx-glr-thumbnail-title">Evaluate classification by compiling a report</div>
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 * :ref:`sphx_glr_auto_examples_evaluation_plot_classification_report.py`

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    <div class="sphx-glr-thumbcontainer" tooltip="Specific metrics have been developed to evaluate classifier which has been trained using imbala...">

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  .. image:: /auto_examples/evaluation/images/thumb/sphx_glr_plot_metrics_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_evaluation_plot_metrics.py`

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      <div class="sphx-glr-thumbnail-title">Metrics specific to imbalanced learning</div>
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 * :ref:`sphx_glr_auto_examples_evaluation_plot_metrics.py`

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    <div class="sphx-glr-thumbcontainer" tooltip="The following example attends to make a qualitative comparison between the different over-sampl...">

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  .. image:: /auto_examples/over-sampling/images/thumb/sphx_glr_plot_comparison_over_sampling_thumb.png
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  :ref:`sphx_glr_auto_examples_over-sampling_plot_comparison_over_sampling.py`

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      <div class="sphx-glr-thumbnail-title">Compare over-sampling samplers</div>
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 * :ref:`sphx_glr_auto_examples_over-sampling_plot_comparison_over_sampling.py`

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    <div class="sphx-glr-thumbcontainer" tooltip="An example of the :class:~imblearn.pipeline.Pipeline` object (or make_pipeline helper function)...">

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  .. image:: /auto_examples/pipeline/images/thumb/sphx_glr_plot_pipeline_classification_thumb.png
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  :ref:`sphx_glr_auto_examples_pipeline_plot_pipeline_classification.py`

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      <div class="sphx-glr-thumbnail-title">Usage of pipeline embedding samplers</div>
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 * :ref:`sphx_glr_auto_examples_pipeline_plot_pipeline_classification.py`

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    </div>

