.. _l-modules: Modules ======= .. contents:: :local: :depth: 1 Summary +++++++ +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | module | truncated documentation | +================================================================+========================================================================================================================================================================================================================================================================================================================+ | :ref:`__init__ ` | module ``mlstatpy`` Module *mlstatpy*. Functions and examples associated to the content of the :epkg:`mlstatpy`. :githublink:`%|py|8` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`__init__ ` | module ``mlstatpy.data`` shortcut to data :githublink:`%|py|5` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`__init__ ` | module ``mlstatpy.garden`` shortcut to garden :githublink:`%|py|5` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`__init__ ` | module ``mlstatpy.graph`` shortcut to graph :githublink:`%|py|5` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`__init__ ` | module ``mlstatpy.image`` shortcut to image :githublink:`%|py|5` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`__init__ ` | module ``mlstatpy.image.detection_segment`` shortcut to image :githublink:`%|py|5` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`__init__ ` | module ``mlstatpy.ml`` shortcut to ml :githublink:`%|py|5` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`__init__ ` | module ``mlstatpy.nlp`` shortcut to nlp :githublink:`%|py|5` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`__init__ ` | module ``mlstatpy.optim`` Shortcuts to *optim*. :githublink:`%|py|5` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`_neural_tree_api ` | module ``mlstatpy.ml._neural_tree_api`` Conversion from tree to neural network. :githublink:`%|py|6` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`_neural_tree_node ` | module ``mlstatpy.ml._neural_tree_node`` Conversion from tree to neural network. :githublink:`%|py|6` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`completion ` | module ``mlstatpy.nlp.completion`` About completion :githublink:`%|py|5` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`completion_simple ` | module ``mlstatpy.nlp.completion_simple`` About completion, simple algorithm :githublink:`%|py|5` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`data_exceptions ` | module ``mlstatpy.data.data_exceptions`` Exceptions while retrieving data. :githublink:`%|py|5` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`detection_nfa ` | module ``mlstatpy.image.detection_segment.detection_nfa`` Ce module determine si un segment est significatif, c'est à dire si le nombre de fausses alarmes n'est pas trop élevé. :githublink:`%|py|7` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`detection_segment ` | module ``mlstatpy.image.detection_segment.detection_segment`` Détecte les segments dans une image. :githublink:`%|py|6` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`detection_segment_bord ` | module ``mlstatpy.image.detection_segment.detection_segment_bord`` Ce module définit un segment qui va parcourir l'image, en plus d'être un segment, cette classe inclut la dimension de l'image, et une fonction repérant sur ce segment les gradients presque orthogonaux à l'image. :githublink:`%|py|9` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`detection_segment_segangle ` | module ``mlstatpy.image.detection_segment.detection_segment_segangle`` Ce module inclut une classe qui permet de parcourir tous les segments de l'image. :githublink:`%|py|7` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`geometrie ` | module ``mlstatpy.image.detection_segment.geometrie`` Définition de petits éléments géométriques tels que les points et les segments, implemente également des opérations standard telles le produit scalaire entre deux vecteurs, ... :githublink:`%|py|8` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`graph_distance ` | module ``mlstatpy.graph.graph_distance`` First approach for a edit distance between two graphs. See :ref:`l-graph_distance`. :githublink:`%|py|8` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`graphviz_helper ` | module ``mlstatpy.graph.graphviz_helper`` graphviz helper :githublink:`%|py|5` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`kppv ` | module ``mlstatpy.ml.kppv`` Implements classic k-nn. :githublink:`%|py|6` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`kppv_laesa ` | module ``mlstatpy.ml.kppv_laesa`` Implements optimized k-nn. :githublink:`%|py|6` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`logreg ` | module ``mlstatpy.ml.logreg`` Helpers on logistic regression. :githublink:`%|py|5` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`matrices ` | module ``mlstatpy.ml.matrices`` Algorithms about matrices. :githublink:`%|py|6` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`ml_grid_benchmark ` | module ``mlstatpy.ml.ml_grid_benchmark`` About Machine Learning Benchmark :githublink:`%|py|6` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`neural_tree ` | module ``mlstatpy.ml.neural_tree`` Conversion from tree to neural network. :githublink:`%|py|6` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`normalize ` | module ``mlstatpy.nlp.normalize`` Text normalization :githublink:`%|py|6` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`poulet ` | module ``mlstatpy.garden.poulet`` Functions for :ref:`l-exemple_optim_alea`. :githublink:`%|py|6` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`queue_binom ` | module ``mlstatpy.image.detection_segment.queue_binom`` Ce module construit les probabilités d'une loi binomiale :math:`B(n,p)`. :githublink:`%|py|6` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`random_image ` | module ``mlstatpy.image.detection_segment.random_image`` Génère des images aléatoires. :githublink:`%|py|6` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`roc ` | module ``mlstatpy.ml.roc`` About :epkg:`ROC`. :githublink:`%|py|6` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`sgd ` | module ``mlstatpy.optim.sgd`` Implements simple stochastic gradient optimisation. It is inspired from `_stochastic_optimizers.py `_. :githublink:`%|py|8` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`voronoi ` | module ``mlstatpy.ml.voronoi`` About Voronoi Diagram :githublink:`%|py|6` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | :ref:`wikipedia ` | module ``mlstatpy.data.wikipedia`` Functions to retrieve data from Wikipedia :githublink:`%|py|5` | +----------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ .. toctree:: :maxdepth: 1 mlstatpy/__init__ mlstatpy/data/__init__ mlstatpy/data/data_exceptions mlstatpy/data/wikipedia mlstatpy/garden/__init__ mlstatpy/garden/poulet mlstatpy/graph/__init__ mlstatpy/graph/graph_distance mlstatpy/graph/graphviz_helper mlstatpy/image/__init__ mlstatpy/image/detection_segment/__init__ mlstatpy/image/detection_segment/detection_nfa mlstatpy/image/detection_segment/detection_segment mlstatpy/image/detection_segment/detection_segment_bord mlstatpy/image/detection_segment/detection_segment_segangle mlstatpy/image/detection_segment/geometrie mlstatpy/image/detection_segment/queue_binom mlstatpy/image/detection_segment/random_image mlstatpy/ml/__init__ mlstatpy/ml/_neural_tree_api mlstatpy/ml/_neural_tree_node mlstatpy/ml/kppv mlstatpy/ml/kppv_laesa mlstatpy/ml/logreg mlstatpy/ml/matrices mlstatpy/ml/ml_grid_benchmark mlstatpy/ml/neural_tree mlstatpy/ml/roc mlstatpy/ml/voronoi mlstatpy/nlp/__init__ mlstatpy/nlp/completion mlstatpy/nlp/completion_simple mlstatpy/nlp/normalize mlstatpy/optim/__init__ mlstatpy/optim/sgd