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Modified Preorder Tree Traversal

Hierarchical data metrics that allows fast read operations on tree like structures.

Based on Left and Right fields that are set during tree traversal. When entered into node value is set to it's Left, when exiting node value is set to it's Right.

Sample implementation

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import random
import sys

import numpy as np
import matplotlib.pyplot as plt
from sklearn.ensemble import RandomForestClassifier

N_SAMPLES = 1000
N_TREES = 100
MAX_CATEGORIES = 32

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$ python xor.py
Training:
  Epoch   0   MSE: 1.765
  Epoch 100   MSE: 0.015
  Epoch 200   MSE: 0.005
  * Target MSE reached *
Evaluating:
  1 XOR 0 = 1 ( 0.904)   Error: 0.096
  0 XOR 1 = 1 ( 0.908)   Error: 0.092
  1 XOR 1 = 0 (-0.008)   Error: 0.008

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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# global no bounding "
   ]
  },
  {

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Hello Le Wagon 👋

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Hello Le Wagon 👋

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Hello Le Wagon 👋

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layout	author	title	revision	version	description
default	mattmc3	Modern SQL Style Guide	2019-01-17	1.0.1	A guide to writing clean, clear, and consistent SQL.

Modern SQL Style Guide