Closed kraftpunk97-zz closed 6 years ago
Could you please try after add ScikitLearn#master
and restarting Julia? Transition to 1.0 is in progress.
I am seeing the same thing here (identical Stacktrace output), even after add ScikitLearn#master
and restarting Julia 1.0...
Thank you for checking. It looks like it's not quite ready for 1.0. I should get to it soon.
In the meanwhile, may I recommend using Julia 0.7? It's essentially identical to 1.0, but many, many more packages work on Julia 0.7 (including ScikitLearn).
Sorry if I seem impatient, but do we know how will it take to migrate to 1.0?
Next weekend is a long weekend in Canada, and I assume that I'll find some time to do it then. In the meantime, any help is appreciated. The package should already be very close to 1.0-ready, so if anyone wants to figure out where the above message comes from (and why), that'd be appreciated.
@cstjean Things aren't looking too good in 0.7 either... EDIT - I just realised that @theogf referenced this issue as well.
julia> using ScikitLearn
[ Info: Precompiling ScikitLearn [3646fa90-6ef7-5e7e-9f22-8aca16db6324]
┌ Warning: Deprecated syntax `type` at /Users/kartikeygupta/.julia/packages/ScikitLearn/ILHSi/src/sk_utils.jl:229.
│ Use `mutable struct` instead.
└ @ ~/.julia/packages/ScikitLearn/ILHSi/src/sk_utils.jl:229
┌ Warning: `importall` is deprecated, use `using` or individual `import` statements instead
│ caller = ip:0x0
└ @ Core :-1
┌ Warning: Deprecated syntax `parametric method syntax ndgrid{T}(v1::AbstractVector{T}, v2::AbstractVector{T})` around /Users/kartikeygupta/.julia/packages/ScikitLearn/ILHSi/src/Ndgrid.jl:6.
│ Use `ndgrid(v1::AbstractVector{T}, v2::AbstractVector{T}) where T` instead.
└ @ ~/.julia/packages/ScikitLearn/ILHSi/src/Ndgrid.jl:6
┌ Warning: Deprecated syntax `parametric method syntax ndgrid{T}(vs::AbstractVector{T}...)` around /Users/kartikeygupta/.julia/packages/ScikitLearn/ILHSi/src/Ndgrid.jl:19.
│ Use `ndgrid(vs::AbstractVector{T}...) where T` instead.
└ @ ~/.julia/packages/ScikitLearn/ILHSi/src/Ndgrid.jl:19
┌ Warning: Deprecated syntax `parametric method syntax meshgrid{T}(vx::AbstractVector{T}, vy::AbstractVector{T})` around /Users/kartikeygupta/.julia/packages/ScikitLearn/ILHSi/src/Ndgrid.jl:36.
│ Use `meshgrid(vx::AbstractVector{T}, vy::AbstractVector{T}) where T` instead.
└ @ ~/.julia/packages/ScikitLearn/ILHSi/src/Ndgrid.jl:36
┌ Warning: Deprecated syntax `parametric method syntax meshgrid{T}(vx::AbstractVector{T}, vy::AbstractVector{T}, vz::AbstractVector{T})` around /Users/kartikeygupta/.julia/packages/ScikitLearn/ILHSi/src/Ndgrid.jl:44.
│ Use `meshgrid(vx::AbstractVector{T}, vy::AbstractVector{T}, vz::AbstractVector{T}) where T` instead.
└ @ ~/.julia/packages/ScikitLearn/ILHSi/src/Ndgrid.jl:44
WARNING: importing deprecated binding Base.Associative into Skcore.
WARNING: Base.Associative is deprecated, use AbstractDict instead.
likely near /Users/kartikeygupta/.julia/packages/ScikitLearn/ILHSi/src/sk_utils.jl:100
WARNING: Base.Associative is deprecated, use AbstractDict instead.
likely near /Users/kartikeygupta/.julia/packages/ScikitLearn/ILHSi/src/sk_utils.jl:100
┌ Warning: Deprecated syntax `parametric method syntax is_multilabel{T}(y::AbstractArray{T})` around /Users/kartikeygupta/.julia/packages/ScikitLearn/ILHSi/src/sk_utils.jl:132.
│ Use `is_multilabel(y::AbstractArray{T}) where T` instead.
└ @ ~/.julia/packages/ScikitLearn/ILHSi/src/sk_utils.jl:132
┌ Warning: Deprecated syntax `parametric method syntax type_of_target{T}(y::AbstractArray{T})` around /Users/kartikeygupta/.julia/packages/ScikitLearn/ILHSi/src/sk_utils.jl:193.
│ Use `type_of_target(y::AbstractArray{T}) where T` instead.
└ @ ~/.julia/packages/ScikitLearn/ILHSi/src/sk_utils.jl:193
ERROR: LoadError: LoadError: LoadError: LoadError: type QuoteNode has no field args
Stacktrace:
[1] getproperty(::Any, ::Symbol) at ./sysimg.jl:18
[2] @delegate(::LineNumberNode, ::Module, ::Any, ::Any) at /Users/kartikeygupta/.julia/packages/ScikitLearn/ILHSi/src/sk_utils.jl:73
[3] include at ./boot.jl:317 [inlined]
[4] include_relative(::Module, ::String) at ./loading.jl:1038
[5] include at ./sysimg.jl:29 [inlined]
[6] include(::String) at /Users/kartikeygupta/.julia/packages/ScikitLearn/ILHSi/src/Skcore.jl:5
[7] top-level scope at none:0
[8] include at ./boot.jl:317 [inlined]
[9] include_relative(::Module, ::String) at ./loading.jl:1038
[10] include at ./sysimg.jl:29 [inlined]
[11] include(::String) at /Users/kartikeygupta/.julia/packages/ScikitLearn/ILHSi/src/ScikitLearn.jl:10
[12] top-level scope at none:0
[13] include at ./boot.jl:317 [inlined]
[14] include_relative(::Module, ::String) at ./loading.jl:1038
[15] include(::Module, ::String) at ./sysimg.jl:29
[16] top-level scope at none:2
[17] eval at ./boot.jl:319 [inlined]
[18] eval(::Expr) at ./client.jl:399
[19] top-level scope at ./none:3
in expression starting at /Users/kartikeygupta/.julia/packages/ScikitLearn/ILHSi/src/sk_utils.jl:236
in expression starting at /Users/kartikeygupta/.julia/packages/ScikitLearn/ILHSi/src/sk_utils.jl:236
in expression starting at /Users/kartikeygupta/.julia/packages/ScikitLearn/ILHSi/src/Skcore.jl:13
in expression starting at /Users/kartikeygupta/.julia/packages/ScikitLearn/ILHSi/src/ScikitLearn.jl:12
ERROR: Failed to precompile ScikitLearn [3646fa90-6ef7-5e7e-9f22-8aca16db6324] to /Users/kartikeygupta/.julia/compiled/v0.7/ScikitLearn/tbUuI.ji.
Stacktrace:
[1] error(::String) at ./error.jl:33
[2] macro expansion at ./logging.jl:313 [inlined]
[3] compilecache(::Base.PkgId, ::String) at ./loading.jl:1185
[4] _require(::Base.PkgId) at ./logging.jl:311
[5] require(::Base.PkgId) at ./loading.jl:852
[6] macro expansion at ./logging.jl:311 [inlined]
[7] require(::Module, ::Symbol) at ./loading.jl:834
You need to pkg"add ScikitLearn#master"
first. I already tagged it, but we're waiting for METADATA reviewers to look at it.
I updated the code; if you pkg"add ScikitLearn#master"
, you should be able to load ScikitLearn.jl on Julia 1.0. The tests do not all pass because both PyCall.jl and RDatasets.jl are not 1.0-ready yet. Therefore, you will likely find that some functionality doesn't work, but please file an issue if you do.
Brilliant, thanks! PyCall seems mostly OK (for now...). I'll start porting things over to 1.0 gingerly.
I tried doing as suggest by pkg"add ScikitLearn#master" but this does not work either on Julia 1.0. Here is the error log
C:\Users\chatura\.julia\registries\General
Updating git-repo https://github.com/JuliaRegistries/General.git
Cloning git-repo https://github.com/cstjean/ScikitLearn.jl.git
Updating git-repo https://github.com/cstjean/ScikitLearn.jl.git
Resolving package versions...
ERROR: Unsatisfiable requirements detected for package DataFrames [a93c6f00]:
DataFrames [a93c6f00] log:
├─possible versions are: [0.1.0, 0.2.0-0.2.5, 0.3.0-0.3.16, 0.4.0-0.4.3, 0.5.0-0.5.12, 0.6.0-0.6.11, 0.7.0-0.7.8, 0.8.0-0.8.5, 0.9.0-0.9.1, 0.10.0-0.10.1, 0.11.0-0.11.7, 0.12.0, 0.13.0-0.13.1] or uninstalled
├─restricted to versions 0.11.0- by ScikitLearn [3646fa90], leaving only versions [0.11.0-0.11.7, 0.12.0, 0.13.0-0.13.1]
│ └─ScikitLearn [3646fa90] log:
│ ├─possible versions are: 0.5.0 or uninstalled
│ └─ScikitLearn [3646fa90] is fixed to version 0.5.0+
└─restricted by compatibility requirements with MachineLearning [850e97f4] to versions: [0.1.0, 0.2.0-0.2.5, 0.3.0-0.3.16, 0.4.0-0.4.3, 0.5.0-0.5.12, 0.6.0-0.6.11, 0.7.0-0.7.8, 0.8.0-0.8.5, 0.9.0-0.9.1, 0.10.0-0.10.1] — no versions left
└─MachineLearning [850e97f4] log:
├─possible versions are: 0.0.1-0.0.3 or uninstalled
└─restricted to versions by an explicit requirement, leaving only versions 0.0.1-0.0.3
There was a breaking change in DataFrames.jl at the beginning of the year. ScikiLearn is only compatible with the newest versions (0.11+), while MachineLearning is only compatible with older versions. Either bug MachineLearning people to upgrade, or make a choice about which package you want to use (... in this environment; you could still activate a new environment, then add ScikitLearn).
ScikitLearn was tagged. Everyone can now Pkg.add("ScikitLearn")
on 1.0. If you used #master
, you can Pkg.free("ScikitLearn")
. Thank you for everyone's patience! Please file bug reports appropriately.
I get the following error when inputting
using ScikitLearn
after installing the package. using Julia 1.0.0