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## analysis.ipynb

      
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                petermchale
                / analysis.ipynb
            
            
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              December 2, 2023 15:46
            
              
                A derivation of the bias-variance decomposition of test error in machine learning.
              
          
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## pearson_vectors.py
# Author: denis.engemann@gmail.com
# License: simplified BSD (3 clause)
# Note: code is based on scipy.stats.pearsonr
from scipy import stats

def compute_corr(x, y):
    x = np.asarray(x)
    y = np.asarray(y)
    mx = x.mean(axis=-1)
    my = y.mean(axis=-1)
	# Author: denis.engemann@gmail.com
	# License: simplified BSD (3 clause)
	# Note: code is based on scipy.stats.pearsonr
	from scipy import stats

	def compute_corr(x, y):
	x = np.asarray(x)
	y = np.asarray(y)
	mx = x.mean(axis=-1)
	my = y.mean(axis=-1)