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OpenANN
1.1.0
An open source library for artificial neural networks.
|
Classes | |
| class | Normalization |
| class | PCA |
| class | ZCAWhitening |
| class | KMeans |
| class | Transformation |
| class | Compressor |
Functions | |
| def | __init__ |
| def | __dealloc__ |
| def | fit |
| def | transform |
| def | get_mean |
| def | get_std |
| def | __init__ |
| def | explained_variance_ratio |
| def | fit_partial |
| def | get_centers |
| def | sample_random_patches |
Variables | |
| thisptr | |
| def preprocessing.__dealloc__ | ( | self) |
| def preprocessing.__init__ | ( | self) |
| def preprocessing.__init__ | ( | self, | |
| n_components, | |||
whiten = True |
|||
| ) |
| def preprocessing.explained_variance_ratio | ( | self) |
| def preprocessing.fit | ( | self, | |
| X | |||
| ) |
| def preprocessing.fit_partial | ( | self, | |
| X | |||
| ) |
| def preprocessing.get_centers | ( | self) |
| def preprocessing.get_mean | ( | self) |
| def preprocessing.get_std | ( | self) |
| def preprocessing.sample_random_patches | ( | images, | |
| channels, | |||
| rows, | |||
| cols, | |||
| samples, | |||
| patch_rows, | |||
| patch_cols | |||
| ) |
| def preprocessing.transform | ( | self, | |
| X | |||
| ) |
| preprocessing.thisptr |
1.8.4