Reference¶
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, ...]) |
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base.Convolution(convolution_filter[, ...]) |
A wrapper for a 2D convolution building block |
base.PassThrough([input_dtype]) |
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base.Standardize([mean, std, input_dtype]) |
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base.MaxPool(max_pool_stride[, input_dtype]) |
sklearn_theano.datasets: Datasets¶
This module deals with loading datasets.
User guide: See the Dataset loading utilities section for further details.
Loaders¶
Samples generator¶
sklearn_theano.feature_extraction: Feature Extraction¶
User guide: See the Feature extraction utilities section for further details.