Yimeng Zhang zym1010

zym1010 / ve.py

Created November 21, 2016 17:36 — forked from aecker/ve.py

Calculation of explainable variance etc.

	# Load data
	responses_val_raw = np.load(os.path.join(path, 'raw_validation_set.npy'))
	prediction = mymodel.prediction()
	reps, num_imgs, num_neurons = responses_val_raw.shape

	# Calculate normalized noise power
	obs_var_raw = (responses_val_raw.var(axis=0, ddof=1)).mean(axis=0)
	total_var_raw = responses_val_raw.reshape([-1, num_neurons]).var(axis=0, ddof=1)
	nnp = obs_var / total_var

zym1010 / discrete_cmap.py

Created July 1, 2016 01:22 — forked from jakevdp/discrete_cmap.py

Small utility to create a discrete matplotlib colormap

	# By Jake VanderPlas
	# License: BSD-style

	import matplotlib.pyplot as plt
	import numpy as np


	def discrete_cmap(N, base_cmap=None):
	"""Create an N-bin discrete colormap from the specified input map"""