:orphan: .. _general_examples: Examples Gallery ================ .. contents:: Contents :local: :depth: 3 .. raw:: html <div class="sphx-glr-thumbnails"> .. thumbnail-parent-div-open .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="This notebook demonstrates running an experiment to search for hyperparameters and saving the scores of the experiment for a specified set of parameters using cartodata.pipeline.PipelineExperiment for lisn dataset. "> .. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_experiment_pipeline_lisn_thumb.png :alt: :ref:`sphx_glr_auto_examples_experiment_pipeline_lisn.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Running an Experiment on a dataset using pipeline API</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="In this example we'll create a 2D representation of an image dataset. We use the fashion MNIST dataset. Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples."> .. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_workflow_mnist_thumb.png :alt: :ref:`sphx_glr_auto_examples_workflow_mnist.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Processing visual data (Fashion-MNIST) for Cartolabe</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="In this example, we'll describe how to run a text processing workflow on a dump of Wikipedia. We'll be working with a dump of the Simple English Wikipedia because it is both much smaller than the full English Wikipedia (it has approximately 140000 articles) and the articles have a simpler syntax."> .. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_workflow_wikipedia_lsa_kmeans_thumb.png :alt: :ref:`sphx_glr_auto_examples_workflow_wikipedia_lsa_kmeans.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Creating a corpus from Wikipedia</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="In this example we will process LISN (Laboratoire Interdisciplinaire des Sciences du Numérique) dataset using Pipeline API. LISN dataset contains all articles from HAL (https://hal.archives-ouvertes.fr/) published by authors from LISN between 2000-2022."> .. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_pipeline_lisn_lsa_tsne_kmeans_thumb.png :alt: :ref:`sphx_glr_auto_examples_pipeline_lisn_lsa_tsne_kmeans.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Processing LISN data with Pipeline API (LSA projection)</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="In this example we will process LISN (Laboratoire Interdisciplinaire des Sciences du Numérique) dataset using Pipeline API. LISN dataset contains all articles from HAL (https://hal.archives-ouvertes.fr/) published by authors from LISN between 2000-2022."> .. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_pipeline_lisn_bert_umap_kmeans_thumb.png :alt: :ref:`sphx_glr_auto_examples_pipeline_lisn_bert_umap_kmeans.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Processing LISN data with Pipeline API (BERT projection)</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="In this example we will process LISN (Laboratoire Interdisciplinaire des Sciences du Numérique) dataset using Pipeline API. LISN dataset contains all articles from HAL (https://hal.archives-ouvertes.fr/) published by authors from LISN between 2000-2022."> .. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_pipeline_lisn_lsa_umap_kmeans_thumb.png :alt: :ref:`sphx_glr_auto_examples_pipeline_lisn_lsa_umap_kmeans.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Processing LISN data with Pipeline API (LSA projection)</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="This notebook demonstrates the usage of Pipeline API by loading pipeline from pipeline.yaml file."> .. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_pipeline_yaml_lisn_thumb.png :alt: :ref:`sphx_glr_auto_examples_pipeline_yaml_lisn.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Using Pipeline API with YAML file</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="In this example we will process LISN (Laboratoire Interdisciplinaire des Sciences du Numérique) dataset using Pipeline API. LISN dataset contains all articles from HAL (https://hal.archives-ouvertes.fr/) published by authors from LISN between 2000-2022."> .. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_pipeline_lisn_lsa_umap_hdbscan_hierarchical_thumb.png :alt: :ref:`sphx_glr_auto_examples_pipeline_lisn_lsa_umap_hdbscan_hierarchical.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Processing LISN data with Pipeline API (LSA projection)</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="In this example we will process Inria Raweb dataset using Pipeline API. "> .. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_pipeline_inriaraweb_lsa_kmeans_thumb.png :alt: :ref:`sphx_glr_auto_examples_pipeline_inriaraweb_lsa_kmeans.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Inria Raweb dataset with Pipeline API</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="In this example we will:"> .. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_workflow_vispubdata_lsa_kmeans_thumb.png :alt: :ref:`sphx_glr_auto_examples_workflow_vispubdata_lsa_kmeans.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Extracting and processing VisPubData data for Cartolabe</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="Comparing the quality of embeddings using multiple methods -------------------------------------------------------------"> .. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_compare_projections_vispubdata_thumb.png :alt: :ref:`sphx_glr_auto_examples_compare_projections_vispubdata.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Extracting and processing VisPubdata data with the Cartolabe API</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="In this example we will:"> .. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_workflow_lisn_lda_kmeans_thumb.png :alt: :ref:`sphx_glr_auto_examples_workflow_lisn_lda_kmeans.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Extracting and processing LISN data for Cartolabe (LDA projection)</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="In this example we will:"> .. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_workflow_lisn_doc2vec_kmeans_thumb.png :alt: :ref:`sphx_glr_auto_examples_workflow_lisn_doc2vec_kmeans.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Extracting and processing LISN data for Cartolabe ( Doc2vec projection)</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="In this example we will:"> .. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_workflow_lisn_lsa_hdbscan_thumb.png :alt: :ref:`sphx_glr_auto_examples_workflow_lisn_lsa_hdbscan.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Extracting and processing LISN data for Cartolabe (LSA projection, HDBSCAN clustering)</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="In this example we will demonstrate use of AlignedUMAP with pipeline API."> .. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_pipeline_lisn_lsa_aligned_umap_kmeans_thumb.png :alt: :ref:`sphx_glr_auto_examples_pipeline_lisn_lsa_aligned_umap_kmeans.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Aligned pipeline</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="This notebook demonstrates implementing a custom experiment to search for hyperparameters and saving the scores of the experiment for a specified set of parameters for lisn dataset. "> .. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_experiment_custom_lisn_thumb.png :alt: :ref:`sphx_glr_auto_examples_experiment_custom_lisn.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Implementing and running a custom Experiment on a dataset</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip=" ( Doc2vec projection) ========================="> .. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_workflow_aligned_lisn_doc2vec_kmeans_thumb.png :alt: :ref:`sphx_glr_auto_examples_workflow_aligned_lisn_doc2vec_kmeans.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Extracting and processing LISN data for Cartolabe with Aligned UMAP</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="(LSA projection) ================="> .. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_workflow_aligned_lisn_lsa_kmeans_thumb.png :alt: :ref:`sphx_glr_auto_examples_workflow_aligned_lisn_lsa_kmeans.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Extracting and processing LISN data for Cartolabe with Aligned UMAP</div> </div> .. thumbnail-parent-div-close .. raw:: html </div> .. toctree:: :hidden: /auto_examples/experiment_pipeline_lisn /auto_examples/workflow_mnist /auto_examples/workflow_wikipedia_lsa_kmeans /auto_examples/pipeline_lisn_lsa_tsne_kmeans /auto_examples/pipeline_lisn_bert_umap_kmeans /auto_examples/pipeline_lisn_lsa_umap_kmeans /auto_examples/pipeline_yaml_lisn /auto_examples/pipeline_lisn_lsa_umap_hdbscan_hierarchical /auto_examples/pipeline_inriaraweb_lsa_kmeans /auto_examples/workflow_vispubdata_lsa_kmeans /auto_examples/compare_projections_vispubdata /auto_examples/workflow_lisn_lda_kmeans /auto_examples/workflow_lisn_doc2vec_kmeans /auto_examples/workflow_lisn_lsa_hdbscan /auto_examples/pipeline_lisn_lsa_aligned_umap_kmeans /auto_examples/experiment_custom_lisn /auto_examples/workflow_aligned_lisn_doc2vec_kmeans /auto_examples/workflow_aligned_lisn_lsa_kmeans .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-gallery .. container:: sphx-glr-download sphx-glr-download-python :download:`Download all examples in Python source code: auto_examples_python.zip </auto_examples/auto_examples_python.zip>` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download all examples in Jupyter notebooks: auto_examples_jupyter.zip </auto_examples/auto_examples_jupyter.zip>` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_