Classes | |
| class | LinearDimReduceDataset |
| Dataset which performs linear dimensionality reduction. More... | |
Functions | |
| def | pca |
| def | pca_eigenface_trick |
| def | pca_gain_threshold |
| def | pca_variance_threshold |
| def | pca_vectors |
| def | randomized_vectors |
| def ml_lib.dimreduce.pca | ( | data | ) |
Definition at line 32 of file dimreduce.py.
| def ml_lib.dimreduce.pca_eigenface_trick | ( | data | ) |
Definition at line 37 of file dimreduce.py.
| def ml_lib.dimreduce.pca_gain_threshold | ( | s, | |
percentage_change_threshold = .15 |
|||
| ) |
Definition at line 9 of file dimreduce.py.
| def ml_lib.dimreduce.pca_variance_threshold | ( | eigen_values, | |
percent_variance = .9 |
|||
| ) |
Definition at line 18 of file dimreduce.py.
| def ml_lib.dimreduce.pca_vectors | ( | data, | |
| percent_variance | |||
| ) |
Definition at line 43 of file dimreduce.py.
| def ml_lib.dimreduce.randomized_vectors | ( | dataset, | |
| number_of_vectors | |||
| ) |
Definition at line 62 of file dimreduce.py.