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def rescale_predictions_moons(prediction, moon_test, prediction_min=0.001, prediction_max = 0.999):
    """Rescale all predictions between prediction_min and prediction_max                                                                                                               
    keeping the same ranking within each moon.                                                                                                                                         
                                                                                                                                                                                       
    Rescaling is necessary to avoid invalid submissions having                                                                                                                         
    predictions < 0.0 or > 1.0.                                                                                                                                                        
    

emanuele

import os
import argparse

import nibabel as nib
from nibabel.streamlines import Field
from nibabel.orientations import aff2axcodes


def build_argparser():
    DESCRIPTION = "Convert tractograms (TCK -> TRK)."

emanuele

import os
import argparse

import nibabel as nib
from nibabel.streamlines import Field
from nibabel.orientations import aff2axcodes


def build_argparser():
    DESCRIPTION = "Convert tractograms (TCK -> TRK)."

emanuele

cabal build  
Building git-annex-7.20190507...
Preprocessing executable 'git-annex' for git-annex-7.20190507...
[379 of 612] Compiling Remote.S3        ( Remote/S3.hs, dist/build/git-annex/git-annex-tmp/Remote/S3.o )

Remote/S3.hs:462:33: error:
    Not in scope: ‘S3.getBucketObjectVersions’
    Module ‘Aws.S3’ does not export ‘getBucketObjectVersions’.

Remote/S3.hs:480:19: error:

emanuele

#!/usr/bin/env python3

# from: https://stackoverflow.com/questions/53477624/python-pil-image-convert-not-replacing-color-with-the-closest-palette

import subprocess
import numpy as np
from PIL import Image

palette = [ 
    0,0,0,

emanuele

"""
N-D Bresenham line algo , from http://code.activestate.com/recipes/578112-bresenhams-line-algorithm-in-n-dimensions/
"""
import numpy as np
def _bresenhamline_nslope(slope):
    """
    Normalize slope for Bresenham's line algorithm.

    >>> s = np.array([[-2, -2, -2, 0]])
    >>> _bresenhamline_nslope(s)

emanuele

from nibabel import trackvis
from dipy.tracking.metrics import length

def load_tractome_tractography(filename_tractography):
    """
    Load trk tractography following nasty (i.e. to be fixed) tractome
    convention, i.e. removing short streamlines first.

    See:
      https://github.com/FBK-NILab/tractome/issues/17

emanuele

"""Statistical tests for multiclass pattern discrimination.

Confusion matrices from ICANN2011 MEG competition.
See http://www.cis.hut.fi/icann2011/meg/megicann_proceedings.pdf
p.14

"""
import numpy as np
from scipy.special import gammaln
from scipy.stats import binom

emanuele

import numpy as np
from scipy.special import gammaln

def log_multivariate_polya(X, alpha):
    N = X.sum()
    A = alpha.sum()
    log_likelihood = gammaln(N+1) - gammaln(X+1).sum()
    log_likelihood += gammaln(A) - gammaln(alpha).sum()
    log_likelihood += gammaln(X + alpha).sum() - gammaln(N + A)
    return log_likelihood