zhao | Programming Random Thoughts ] Organized & quot

# import libraries  
import os                 # import the os module 
import pandas as pd       # using pandas for data structure 
import nltk               # nlp library
import time               # time module can be used now e.g., time.time()

# s  

ENVIRONMENT=development
DATABASE_HOST='127.0.0.1'
DATABASE_USER=root
DATABASE_PWD=123456
DATABASE_DB=zhao
APP_DEBUG=1
APP_TRACE=1

server {
    listen       80;
    server_name  zhao.com;
    root         "project path/public/";
    autoindex    on;
  

use PointReduction\Common\Point,
    PointReduction\Algorithms\ZhaoSAalfeld;
$givenPoints = array(
    new Point(-84.158640, -39.822480),
    new Point(-84.159250, -39.820120),
    // ... and so one
);
$degree = 7;
$lookAhead = 7;
$reducer = new Zhao  

# -*- coding: utf-8 -*-
"""Using Auto Encoder with Outlier Detection
"""
# Author: Yue Zhao 
# License: BSD 2 clause

from __future__ import division
from __future__ import print_function

import torch
import numpy as np
from sklearn.preprocessing im  

"""
.. _model-tree-lstm:

Tree-LSTM in DGL
==========================

**Author**: Zihao Ye, Qipeng Guo, `Minjie Wang
`_, `Jake Zhao
`_, Zheng Zhang

.. warning::

    The tutorial aims at gaining insights into the paper, with code as a m  

# -*- coding: utf-8 -*-
"""Compare all detection algorithms by plotting decision boundaries and
the number of decision boundaries.
"""
# Author: Yue Zhao 
# License: BSD 2 clause

from __future__ import division
from __future__ import print_function