A Python package for Generative Topographic Mapping (GTM)
Provide original version of GTM by Bishop et al. (1998) and GTM through time by Bishop et al. (1997).
Link to the documentation: https://gtmx.readthedocs.io/en/latest/
pip install gtmx
Clone the repository and cd into project root.
pip install .
for basic GTM model
from gtmx import GTMBase
from sklearn.datasets import load_iris
iris = load_iris()
x = iris.data
y = iris.target
gtm = GTMBase(l=1)
gtm.fit(x, epoch=30)
gtm.plot_llh()
gtm.plot('mean', label=y)
gtm.plot('mode', label=y)for GTM through time
from gtmx import GTMTimeSeries
import numpy as np
x = np.ndarray(["Your time series data in shape (n_obs, sequence, dimension)"])
gtm = GTMTimeSeries()
gtm.fit(x)
gtm.plot_llh()
gtm.plot('mean')
gtm.plot('mode')Nabney, I. (2002). NETLAB: algorithms for pattern recognition. Springer Science & Business Media.
Bishop, C. M., Svensén, M., & Williams, C. K. (1998). GTM: The generative topographic mapping. Neural computation, 10(1), 215-234.
Bishop, C. M., Hinton, G. E., & Strachan, I. G. (1997). GTM through time.
Gaspar, H. A. (2018). ugtm: A Python package for data modeling and visualization using generative topographic mapping. Journal of Open Research Software, 6(1).