Public Member Functions | Public Attributes
ml_lib.dimreduce.LinearDimReduceDataset Class Reference

Dataset which performs linear dimensionality reduction. More...

List of all members.

Public Member Functions

def __init__
def get_original_inputs
 returns full dimensioned inputs
def pca_reduce
 Performs PCA dim reduction.
def randomized_vectors_reduce
 Performs randomized vector dim reduction.
def reduce
 Project data points onto the linear embedding.
def reduce_input
 Project this dataset's input instances (stores original instances)
def set_projection_vectors
 Projection vectors are assumed to be column vectors.

Public Attributes

 inputs
 original_inputs
 projection_basis

Detailed Description

Dataset which performs linear dimensionality reduction.

Definition at line 69 of file dimreduce.py.


Constructor & Destructor Documentation

def ml_lib.dimreduce.LinearDimReduceDataset.__init__ (   self,
  inputs,
  outputs 
)

Definition at line 71 of file dimreduce.py.


Member Function Documentation

returns full dimensioned inputs

Definition at line 106 of file dimreduce.py.

def ml_lib.dimreduce.LinearDimReduceDataset.pca_reduce (   self,
  percent_variance 
)

Performs PCA dim reduction.

Parameters:
percent_variance

Definition at line 95 of file dimreduce.py.

Performs randomized vector dim reduction.

Parameters:
number_of_vectorsnumber of vectors to generate/use

Definition at line 101 of file dimreduce.py.

def ml_lib.dimreduce.LinearDimReduceDataset.reduce (   self,
  data_points 
)

Project data points onto the linear embedding.

Parameters:
data_pointsto project

Definition at line 89 of file dimreduce.py.

Project this dataset's input instances (stores original instances)

Definition at line 77 of file dimreduce.py.

Projection vectors are assumed to be column vectors.

Definition at line 83 of file dimreduce.py.


Member Data Documentation

Definition at line 77 of file dimreduce.py.

Definition at line 71 of file dimreduce.py.

Definition at line 83 of file dimreduce.py.


The documentation for this class was generated from the following file:


ml_lib
Author(s): haidai
autogenerated on Wed Nov 27 2013 11:46:34