hypertools.reduce¶

hypertools.reduce(x, reduce='IncrementalPCA', ndims=None, normalize=None, align=None, model=None, model_params=None, internal=False, format_data=True)[source]¶

Reduces dimensionality of an array, or list of arrays

Parameters

xNumpy array or list of arrays

Dimensionality reduction using PCA is performed on this array.

reducestr or dict

Decomposition/manifold learning model to use. Models supported: PCA, IncrementalPCA, SparsePCA, MiniBatchSparsePCA, KernelPCA, FastICA, FactorAnalysis, TruncatedSVD, DictionaryLearning, MiniBatchDictionaryLearning, TSNE, Isomap, SpectralEmbedding, LocallyLinearEmbedding, MDS and UMAP. Can be passed as a string, but for finer control of the model parameters, pass as a dictionary, e.g. reduce={‘model’ : ‘PCA’, ‘params’ : {‘whiten’ : True}}. See scikit-learn specific model docs for details on parameters supported for each model.

ndimsint

Number of dimensions to reduce

format_databool

Whether or not to first call the format_data function (default: True).

modelNone

Deprecated argument. Please use reduce.

model_paramsNone

Deprecated argument. Please use reduce.

alignNone

Deprecated argument. Please use new analyze function to perform combinations of transformations

normalizeNone

Deprecated argument. Please use new analyze function to perform combinations of transformations

Returns

x_reducedNumpy array or list of arrays

The reduced data with ndims dimensionality is returned. If the input is a list, a list is returned.