# JLBoost key error

**URL:** <https://discourse.julialang.org/t/jlboost-key-error/54702>\
**Category:** Machine Learning\
**Created:** [February 5, 2021, 7:25pm UTC](https://discourse.julialang.org/t/jlboost-key-error/54702 "2021-02-05T19:25:33Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![Tomas\_Pevny](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/tomas_pevny/32/25466_2.png) [@Tomas\_Pevny](https://discourse.julialang.org/u/Tomas_Pevny)\
**Post date:** [February 5, 2021, 7:25pm UTC](https://discourse.julialang.org/t/jlboost-key-error/54702/1 "2021-02-05T19:25:33Z")

</div>

Hi All,

I am trying to blindly use JLBoost on a big dataset with 2381 features and 600 000 samples. I have automatically converted the feature matrix to the DataFrame using `df = DataFrame(x, :auto)`, add labels as `df.y = y`, and then I started to fit the model with default settings

```julia
julia> xgtreemodel = jlboost(df, :y)
this branch has too few records
this branch has too few records
ERROR: KeyError: key not found
Stacktrace:
 [1] getindex(::Dict{Any,Any}, ::JLBoostTree) at ./dict.jl:477
 [2] _fit_tree!(::LogitLogLoss, ::DataFrame, ::Symbol, ::Array{Symbol,1}, ::Array{Float64,1}, ::JLBoostTree, ::typeof(depth_wise), ::JLBoost.TreeFitStoppingCriterion.var"#1#2"{Int64}; lambda::Int64, gamma::Int64, verbose::Bool, kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/tomas.pevny/.julia/packages/JLBoost/hbacI/src/fit_tree.jl:156
 [3] jlboost(::DataFrame, ::Symbol, ::Array{Symbol,1}, ::Array{Float64,1}, ::LogitLogLoss, ::JLBoost.var"#17#21"{JLBoost.var"#17#18#22"}, ::JLBoost.var"#9#13"{JLBoost.var"#9#10#14"}, ::typeof(depth_wise), ::JLBoost.TreeFitStoppingCriterion.var"#1#2"{Int64}; nrounds::Int64, eta::Float64, verbose::Bool, kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/tomas.pevny/.julia/packages/JLBoost/hbacI/src/jlboost-fit.jl:130
 [4] jlboost(::DataFrame, ::Symbol, ::Array{Symbol,1}, ::Array{Float64,1}, ::LogitLogLoss, ::Function, ::Function, ::Function, ::JLBoost.TreeFitStoppingCriterion.var"#1#2"{Int64}) at /home/tomas.pevny/.julia/packages/JLBoost/hbacI/src/jlboost-fit.jl:102
 [5] jlboost(::DataFrame, ::Symbol, ::Array{Symbol,1}, ::Array{Float64,1}, ::LogitLogLoss; subsample::Int64, colsample_bytree::Int64, max_depth::Int64, max_leaves::Int64, kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/tomas.pevny/.julia/packages/JLBoost/hbacI/src/jlboost-fit.jl:84
 [6] jlboost at /home/tomas.pevny/.julia/packages/JLBoost/hbacI/src/jlboost-fit.jl:58 [inlined] (repeats 2 times)
 [7] jlboost(::DataFrame, ::Symbol, ::Array{String,1}; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /home/tomas.pevny/.julia/packages/JLBoost/hbacI/src/jlboost-fit.jl:51
 [8] jlboost(::DataFrame, ::Symbol, ::Array{String,1}) at /home/tomas.pevny/.julia/packages/JLBoost/hbacI/src/jlboost-fit.jl:49
 [9] top-level scope at REPL[114]:1 

```

Can anyone give me hint, what might went wrong?

Thanks a lot,  
Tomas