10 parts time splitting method. More...

Classes
class	deciles
	10 parts time splitting method. More...

class	deciles_accum
	Range processor splitting the course in ten parts and accumulating data. More...

class	no_splitting
	No time splitting method. More...

class	one_month_after_start
	Time splitting method that generates predictions one month after the analysable start. More...

class	one_week_after_start
	Time splitting method that generates predictions one week after the analysable start. More...

class	past_3_days
	Time splitting method that generates predictions every 3 days. More...

class	past_month
	Time splitting method that generates monthly predictions. More...

class	past_week
	Time splitting method that generates weekly predictions. More...

class	quarters
	Quarters time splitting method. More...

class	quarters_accum
	Range processor splitting the course in quarters and accumulating data. More...

class	single_range
	Single time splitting method. More...

class	ten_percent_after_start
	Time splitting method that generates predictions 3 days after the analysable start. More...

class	upcoming_3_days
	Time splitting method that generates insights every three days and calculates indicators using upcoming dates. More...

class	upcoming_fortnight
	Time splitting method that generates insights every fortnight and calculates indicators using upcoming dates. More...

class	upcoming_week
	Time splitting method that generates weekly predictions. More...

Detailed Description

10 parts time splitting method.

Time splitting method that generates insights every fortnight and calculates indicators using upcoming dates.

Time splitting method that generates insights every three days and calculates indicators using upcoming dates.

Time splitting method that generates predictions 3 days after the analysable start.

Single time splitting method.

Range processor splitting the course in quarters and accumulating data.

Quarters time splitting method.

Time splitting method that generates weekly predictions.

Time splitting method that generates monthly predictions.

Time splitting method that generates predictions every 3 days.

Time splitting method that generates predictions one week after the analysable start.

Time splitting method that generates predictions one month after the analysable start.

No time splitting method.

Range processor splitting the course in ten parts and accumulating data.

Used when time is not a factor to consider into the equation.

Classes