This is the class and function reference of scikit-learn. Please refer to the full user guide for further details, as the class and function raw specifications may not be enough to give full guidelines on their uses.

sklearn_theano.base: Base classes and utility functions

Base classes

base.Feedforward(weights[, biases, ...])
base.Convolution(convolution_filter[, ...]) A wrapper for a 2D convolution building block
base.Standardize([mean, std, input_dtype])
base.MaxPool(max_pool_stride[, input_dtype])


base.fuse(building_blocks[, fuse_dim, ...])

sklearn_theano.datasets: Datasets

This module deals with loading datasets.

User guide: See the Dataset loading utilities section for further details.


Samples generator

sklearn_theano.feature_extraction: Feature Extraction

User guide: See the Feature extraction utilities section for further details.

From images