#?supporting?lib?for?Random?Forests
#?Nitin?Borwankar
#?Open?Data?Science?Training


map_dict?=?{‘laying‘:1?‘sitting‘:2?‘standing‘:3?‘walk‘:4?‘walkup‘:5?‘walkdown‘:6}?

def?remap_col（dfcolname?mapping=None）:
??“““‘mapping‘?is?a?dict?sending?old?col?elements?to?new?ones?perhaps?changing?data?types?even.
??????very?useful?for?mapping?factor?columns?from?R?to?integer?columns?for?Python
??“““
??if?not?mapping:
????global?map_dict
????mapping?=?map_dict.copy（）
????
??df[colname]?=?df[colname].map（lambda?x:?mapping[x]）?
??return?df

def?intersect（ab）:
??“““Intersect?two?lists“““
??return?[val?for?val?in?a?if?val?in?b]

def?errormeasures（orig?pred?activity）:
??“““docstring?for?errormeasures“““
??n?=?len（orig）
??origtrue?=?[]
??origfalse?=?[]
??predtrue?=?[]
??predfalse?=?[]
??
??for?i?

?屬性????????????大小?????日期????時間???名稱
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?????文件????1152245??2017-11-03?11:35??代碼\（11）決策樹隨機森林adaboost.pdf

?????文件??????20825??2017-11-03?16:33??代碼\.ipynb_checkpoints\隨機森林-checkpoint.ipynb

?????文件???????1721??2017-11-03?16:28??代碼\randomforests.py

?????文件???????1729??2017-11-03?16:28??代碼\randomforests.pyc

?????文件?????566957??2017-11-03?16:28??代碼\samtrain.csv

?????文件?????821890??2017-11-03?16:28??代碼\samval.csv

?????文件??????20825??2017-11-03?16:20??代碼\隨機森林.ipynb

?????目錄??????????0??2017-11-13?02:57??代碼\.ipynb_checkpoints

?????目錄??????????0??2019-04-28?23:08??代碼

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??????????????2586192????????????????????9