def main(argv = sys.argv):
opts, args = getopt.getopt(argv[1:], "h", ["help"])
cfg = DefaultConfig() if (len(args)==0) else LoadConfig(args[0])
coords_file = cfg.output.coords_file
density_plot_file = cfg.output.density_plot_file
if cfg.input.render_data_has_labels:
labels_file = cfg.output.labels_file
else:
labels_file = None
render = Render(coords_file, labels_file)
render.plot_density(density_plot_file)
#coords = scale_to_interval(coords, max=100)
print 'writing coordinates to csv'
csv_writer = csv.writer(open(output_file, 'wb'), delimiter=',')
for r in xrange(len(coords)):
csv_writer.writerow(coords[r].astype('|S12')) # format with 10dp accuracy (but no '-e' format stuff)
if __name__ == '__main__':
codes_file = 'test/test_codes.csv'
coords_file = 'out/test_coords.csv'
codes = numpy.genfromtxt(codes_file, dtype=numpy.float32, delimiter=',')
codes = codes[:,1:]
for perplexity in xrange(20):
try:
tsne = TSNE(perplexity=perplexity, desired_dims=2)
tsne.initialize_with_codes(codes)
tsne.fit(iterations=500)
tsne.save_coords_to_file(coords_file)
density_plot_file = 'out/test_map_%i.png'%perplexity
labels_file = 'test/test_labels.csv'
render = Render(coords_file, labels_file)
render.plot_density(density_plot_file)
except:
print 'failed to compute with perplexity %i'%perplexity
