adamwlev

adamwlev

import numpy as np

def produce_transformation(tuples,tuples_t):
	"""
	Given points in some 2d space, and points in a transformed
	2d space, produces function to tranform one space to other.

	tuples : points in original space (list of x,y tuples)
	tuples_t : corresponding points in transformed space (")
	"""

adamwlev

license: gpl-3.0

adamwlev

## Makes a monitor where the mean of last x oob improvements
## are used to determine early stopping. This can be ammended
## to any stopping criteria one sees as fit - consecutive x 
## negatives, more negatives than positives in last x, etc.
def make_monitor(running_mean_len):
    def monitor(i,self,args):
        if np.mean(self.oob_improvement_[max(0,i-running_mean_len+1):i+1])<0:
            return True
        else:

adamwlev