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#!/bin/sh | |
sudo service ntp stop | |
sudo ntpdate -u pool.ntp.org | |
sudo service ntp start |
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# 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 | |
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#!/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")) |
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#!/usr/bin/env python | |
import skimage.io as io | |
import warnings | |
import sys, os | |
import glob | |
from joblib import Parallel, delayed | |
import multiprocessing |