/
simplelinearpipeline.jl
176 lines (166 loc) · 3.58 KB
/
simplelinearpipeline.jl
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##### Beginning of file
"""
"""
function SimplePipeline(
objectsvector::AbstractVector{Fittable};
name::AbstractString = "",
)
result = SimplePipeline(
name,
objectsvector,
)
return result
end
"""
"""
function set_max_epochs!(
x::SimplePipeline,
new_max_epochs::Integer,
)
for i = 1:length(x.objectsvector)
set_max_epochs!(
x.objectsvector[i],
new_max_epochs,
)
end
return nothing
end
"""
"""
function set_feature_contrasts!(
x::SimplePipeline,
feature_contrasts::AbstractFeatureContrasts,
)
for i = 1:length(x.objectsvector)
set_feature_contrasts!(x.objectsvector[i], feature_contrasts)
end
return nothing
end
"""
"""
function get_underlying(
x::SimplePipeline;
saving::Bool = false,
loading::Bool = false,
)
underlying = [
get_underlying(
o;
saving=saving,
loading=loading,
) for o in x.objectsvector
]
if saving || loading
else
delete_nothings!(underlying)
if length(underlying) == 0
underlying = nothing
elseif length(underlying) == 1
underlying = underlying[1]
else
end
end
return underlying
end
"""
"""
function get_history(
x::SimplePipeline;
saving::Bool = false,
loading::Bool = false,
)
history = [
get_history(
o;
saving = saving,
loading = loading,
) for o in x.objectsvector
]
if saving || loading
else
delete_nothings!(history)
if length(history) == 0
history = nothing
elseif length(history) == 1
history = history[1]
else
end
end
return history
end
"""
"""
function parse_functions!(simplelinearpipeline::SimplePipeline)
for i = 1:length(simplelinearpipeline.objectsvector)
parse_functions!(simplelinearpipeline.objectsvector[i])
end
return nothing
end
"""
"""
function fit!(
simplelinearpipeline::SimplePipeline,
varargs...;
kwargs...
)
output = fit!(
simplelinearpipeline.objectsvector[1],
varargs...;
kwargs...
)
for i = 2:length(simplelinearpipeline.objectsvector)
input = tuplify(output)
output = fit!(
simplelinearpipeline.objectsvector[i],
input...;
kwargs...
)
end
return output
end
"""
"""
function predict(
simplelinearpipeline::SimplePipeline,
varargs...;
kwargs...
)
output = predict(
simplelinearpipeline.objectsvector[1],
varargs...;
kwargs...
)
for i = 2:length(simplelinearpipeline.objectsvector)
input = output
input = tuplify(input)
output = predict(
simplelinearpipeline.objectsvector[i],
input...;
kwargs...
)
end
return output
end
"""
"""
function predict_proba(
simplelinearpipeline::SimplePipeline,
varargs...;
kwargs...
)
output = predict_proba(
simplelinearpipeline.objectsvector[1],
varargs...
)
for i = 2:length(simplelinearpipeline.objectsvector)
input = output
input = tuplify(input)
output = predict_proba(
simplelinearpipeline.objectsvector[i],
input...;
kwargs...
)
end
return output
end
##### End of file