Random forest and poetry maker trained by AMR

AMR namely Artificial mental retardation（ Artificial mental retardation ）, Is a new machine learning algorithm , It aims to ravage the best data by all means , Into a pile of garbage , The following will guide the reader on how to use this algorithm .

# Case study Poetry maker

This case is relatively simple , Just apply to random forests and AMR Technology is enough , The difficulty lies in mastering , Paste source code .

import random

typ = input(" Please enter the selection ： 1. Five words  2. Seven words ")
data = [
    ' Weeping poplar ',
    ' Xinliu ',
    ' Yusi Lun ',
    ' Jinnen ',
    ' Soft strip ',
    ' Weeping poplar on the curved bank ',
    ' Willow branch ',
    ' Idle willows ',
    ' Thousands of flowers and willows ',
    ' The flowers ',
    ' Fragrant and tender ',
    ' Shake green ',
    ' Green roll ',
    ' Thick green ',
    ' Hengcui ',
    ' Jinbi ',
    ' Unwind and relax ',
    ' Piece by piece ',
    ' Wisps ',
    ' New sunny days after falling ',
    ' Long Qing ',
    ' Time ',
    ' Wanmei ',
    ' Wenli ',
    ' thick ',
    ' youth ',
    ' Emptiness ',
    ' Spring is soft ',
    ' Qingwan ',
    ' Xin lie ',
    ' He wan ',
    ' Clear the pistils ',
    ' Qingfen ',
    ' Su Yue ',
    ' Red pigment ',
    ' Beautiful flying flowers ',
    ' Floating flower ',
    ' newly bloomed flowers ',
    ' Flower Shadow ',
    ' Fragrant cluster ',
    ' Floating fragrance ',
    ' Brocade flowers ',
    ' Embroidered grass ',
    ' brilliant ',
    ' A trace ',
    ' Carved jade ',
    ' Diao Qiong ',
    ' Numerous branches ',
    ' Plain scenery ',
    ' Dense leaf ',
    ' A little water for thick flowers ',
    ' Face ',
    ' The wind is light ',
    ' The water is hazy ',
    ' Warm rouge ',
    ' Water dissolves ',
    ' Non-marking ',
    ' What time is spring ',
    ' Invite spring to ',
    ' Flowers reflect willows ',
    ' Flower depth ',
    ' The height of the tree ',
    ' Turn the breeze ',
    ' The fragrance connects with the thick dew in the sky ',
    ' Soft east wind ',
    ' Water passes away and clouds roll ',
    ' Flowers and branches ',
    ' Hundreds of flowers ',
    ' Warm with the wind ',
    ' Spring is full of trees ',
    ' Beautiful and bright ',
    ' Tired guests of the world of mortals ',
    ' Liu Dai shakes the wind ',
    ' Fragrance falls on the court house ',
    ' The water is wide and the flowers are flying ',
    ' Thin leaves and wind ',
    ' Yeyexinxin ',
    ' Eye enchanting pull ',
    ' Light pink crimson ',
]


def choose_word(num):
    chose = []
    for i in range(num):
        chose.append(random.choice(data))
    return chose


if int(typ) == 1:
    sentence_list = []
    for i in range(10):
        chose = choose_word(2)
        while len(chose[-1]) + len(chose[-2]) != 5:
            chose = choose_word(2)
        if len(chose[-1]) == 2 and len(chose[-2]) == 3:
            sentence_list.append(chose[-1] + chose[-2])
        elif len(chose[-1]) == 3 and len(chose[-2]) == 2:
            sentence_list.append(chose[-2] + chose[-1])
    print(sentence_list)

elif int(typ) == 2:
    sentence_list = []
    for i in range(10):
        chose = choose_word(3)
        while len(chose[-1]) + len(chose[-2]) != 7:
            chose = choose_word(3)
        sentence_list.append(chose[-1] + chose[-2])
    print(sentence_list)

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131 Line code , Data accounts for more than half , This proves the enormity of the data , It tests your coding speed and patience . The following logic handles , Using random forest random Advanced library .

random.choice(list)

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This code is for random forest training data set ,AMR It is reflected in the stupidity of code writing and the rubbish.

The time complexity of this algorithm is O (2^n), The resulting poems are all Rotten poetry , It is also a fine product . yes AMR A good sample for testing , A good example of random forest ！