时间序列模型

predict 是一个时间序列预测模型，可以根据设定的样本数据进行训练，并根据给定的频度和周期给出预测结果

参数说明

path 运行指令需要指定样本路径，样本数据必须是CSV格式，样本包括ds,y两列，ds标识数据采集时间，y为对应数据值
freq 是指预测的频度，例如M代表以月为单位进行预测，D代表以日为单位进行预测，H代表小时，3D代表3天为单位，更为详细的说明请参见下表：

标识	含义
B	business day frequency
C	custom business day frequency
D	calendar day frequency
W	weekly frequency
M	month end frequency
SM	semi-month end frequency (15th and end of month)
BM	business month end frequency
CBM	custom business month end frequency
MS	month start frequency
SMS	semi-month start frequency (1st and 15th)
BMS	business month start frequency
CBMS	custom business month start frequency
Q	quarter end frequency
BQ	business quarter end frequency
QS	quarter start frequency
BQS	business quarter start frequency
A, Y	year end frequency
BA, BY	business year end frequency
AS, YS	year start frequency
BAS, BYS	business year start frequency
BH	business hour frequency
H	hourly frequency
T, min	minutely frequency
S	secondly frequency
L, ms	milliseconds
U, us	microseconds
N	nanoseconds

periods 是预测周期，freq为D则标识以样本最后一个时点为始，再往后推periods天进行预测，为M则往后推periods月进行预测
include_history 是否包括节假日
growth 可以选择输入logistic或linear

option

为任意整数，标识预测数据集的前top条信息打印到日志中

draw_forecast

为bool型，是否绘画预测曲线

draw_trend

为bool型，是否绘画关键指标趋势

运行样本集

以社会融资规模增量样本AggregateFinancingtotheRealEconomy.csv为例

$ predict --draw_forecast True

Please enter sample CSV file path:data/AggregateFinancingtotheRealEconomy.csv
Please enter freq,freq choice [M,D,3M,5D,H...]: M
Please enter periods: 10
Whether or not include history? [y/N]: y
Do you want to show forecast line? [y/N]: y