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描述中写道用前三天的前两个小时的数据预测,但是offset的值让我有些疑问。以NYCBike1为例,它的x_offsets值为[-73,-72,-71,-70,-69,-49,-48,-47,-46,-45,-25,-24,-23,-22,-21,-3,-2,-1,0],已知NYCBike1的每个时间间隔为1小时,这样的x_offsets设置看起来与Data Format中的描述不符,有些微妙的不同,比如好像每一天取的时间长短不完全相同,能解答一下我的疑问吗
The text was updated successfully, but these errors were encountered:
抱歉给您造成困扰,原来的描述中可能存在一些小问题。
描述的意思是(以NYCBike为例):使用当前时间片的前4个时间片[-3,-2,-1,0],以及当前时间片前三天同一时间片和前后2个时间片,例如前一天同一时间片为[-23],加上前后两个时间片为[-25,-24,-23,-22,-21]。
Sorry, something went wrong.
抱歉给您造成困扰,原来的描述中可能存在一些小问题。 描述的意思是(以NYCBike为例):使用当前时间片的前4个时间片[-3,-2,-1,0],以及当前时间片前三天同一时间片和前后2个时间片,例如前一天同一时间片为[-23],加上前后两个时间片为[-25,-24,-23,-22,-21]。
感谢您的解答!
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描述中写道用前三天的前两个小时的数据预测,但是offset的值让我有些疑问。以NYCBike1为例,它的x_offsets值为[-73,-72,-71,-70,-69,-49,-48,-47,-46,-45,-25,-24,-23,-22,-21,-3,-2,-1,0],已知NYCBike1的每个时间间隔为1小时,这样的x_offsets设置看起来与Data Format中的描述不符,有些微妙的不同,比如好像每一天取的时间长短不完全相同,能解答一下我的疑问吗
The text was updated successfully, but these errors were encountered: