splitobs(n::Int; at) -> Tuple

Compute the indices for two or more disjoint subsets of the range 1:n with splits given by at.

Examples

			
			
			
			julia
			>
			 
			

			splitobs
			(
			100
			,
			 
			
			at
			=
			0.7
			)
			

			
			(
			
			1
			:
			70
			,
			 
			
			71
			:
			100
			)
			

			

			
			julia
			>
			 
			

			splitobs
			(
			100
			,
			 
			
			at
			=
			
			(
			0.1
			,
			 
			0.4
			)
			)
			

			
			(
			
			1
			:
			10
			,
			 
			
			11
			:
			50
			,
			 
			
			51
			:
			100
			)

			splitobs(data; at, shuffle=false) -> Tuple

Split the data into multiple subsets proportional to the value(s) of at.

If shuffle=true, randomly permute the observations before splitting.

Supports any datatype implementing the numobs and getobs interfaces.

Examples

			
			
			# A 70%-30% split
			

			
			
			train
			,
			 
			test
			 
			=
			 
			

			splitobs
			(
			X
			,
			 
			
			at
			=
			0.7
			)
			

			

			# A 50%-30%-20% split
			

			
			
			train
			,
			 
			val
			,
			 
			test
			 
			=
			 
			

			splitobs
			(
			X
			,
			 
			
			at
			=
			
			(
			0.5
			,
			 
			0.3
			)
			)
			

			

			# A 70%-30% split with multiple arrays and shuffling
			

			
			
			train
			,
			 
			test
			 
			=
			 
			

			splitobs
			(
			
			(
			X
			,
			 
			y
			)
			,
			 
			
			at
			=
			0.7
			,
			 
			
			shuffle
			=
			true
			)
			

			
			
			Xtrain
			,
			 
			Ytrain
			 
			=
			 
			train