pyMFDR 0.1.2

A python package for MF (matrix factorization) based DR (dimensionality reduction) algorithms.

pyMFDR

A python package for MF (matrix factorization) based DR (dimensionality reduction) algorithms.

Installation

pip install pyMFDR

How to use

Download the sample dataset from the /data folder Use the following sample code to use the package:

  # import the library
  from pyMFDR import mfdr

  # load the dataset or generate a toy dataset by X,y = mvg(md = 2)
  df = pd.read_csv('7047_C02.csv')
  X = df.iloc[:,2:cols-1].values # -1 for removing the last column that contains NAN
  y = df.iloc[:,1].values.ravel() # first col is index and not used in this study

  # get a list of available MFDR algorithms
  mfdr.get_algorithms() # it will ouptut ['PCA', 'NMF', 'LAE', 'RP', 'SRP', 'VQ', 'AA', 'ICA']

  # Run PCA on X. It will return W, H, Xr and the inner algorithm object.
  W,H,Xr,o = mfdr.mf(X, 3, alg = 'PCA', display = False) 

  # evaluate the dimensionality reduction quality by various metrics
  mfdr.evaluate_dr(X,W,Xr)

  # visualize H
  mfdr.visualize_dictionary(H)