christian-rauch

#!/usr/bin/env python

import skimage.io as io

import warnings
import sys, os
import glob

from joblib import Parallel, delayed
import multiprocessing

christian-rauch

#!/usr/bin/env python

import sys, os
import glob
import numpy as np
import skimage.io as io

np.set_printoptions(precision=15)

files = glob.glob(os.path.join(sys.argv[1], "*.png"))

christian-rauch

# This will insert leaf nodes at a given depth of the tree, e.g. the decision path will end at this depth.
# It does not actually remove the nodes from the list in 'children_left' and 'children_right',
# e.g. the split nodes will stay in the tree but will not be used within a decision path.

from sklearn.ensemble import RandomForestClassifier
from sklearn.tree.tree import Tree

def prune_node(tree, node_id, parent_depth, prune_depth):
    this_depth = parent_depth+1 # root node at depth 1
    

christian-rauch

#!/bin/sh
sudo service ntp stop
sudo ntpdate -u pool.ntp.org
sudo service ntp start