Classes

Summary

class class parent truncated documentation
CategoriesToIntegers   Does something similar to what DictVectorizer
ClassifierAfterKMeans   Applies a k-means for each class, then adds the distance to each cluster as a feature for a classifier. See …
CustomizedMultilayerPerceptron   Customized MLP Percetion based on BaseMultilayerPerceptron. …
FeaturizerTypeError   Unable to process a type.
QuantileLinearRegression   Quantile Linear Regression or linear regression trained with norm L1. This class inherits from sklearn.linear_models.LinearRegression. …
QuantileMLPRegressor   Quantile MLP Regression or neural networks regression trained with norm L1. This class inherits from sklearn.neural_networks.MLPRegressor. …
SearchEnginePredictionImages   Extends class SearchEnginePredictions. Vectors are coming from images. The metadata must contains information …
SearchEnginePredictions   Extends class SearchEngineVectors by looking for neighbors to a vector X by looking neighbors to f(X)
SearchEngineVectors   Implements a kind of local search engine which looks for similar results assuming they are vectors. The class is …
SkBase   Pattern of a learner or a transform which follows the API of scikit-learn.
SkBaseClassifier   Defines a custom classifier.
SkBaseLearner   Pattern of a learner qui suit la même API que scikit-learn.
SkBaseRegressor   Defines a custom regressor.
SkBaseTransform   Pattern of a learner which follows the same API que scikit-learn.
SkBaseTransformLearner   A transform which hides a learner, it converts method predict into transform. This way, two learners can …
SkBaseTransformStacking   Un transform qui cache plusieurs learners, arrangés selon la méthode du stacking. …
SkException   custom exception
SkLearnParameters   Defines a class to store parameters of a learner or a transform.