/
singlelabelregressionmetrics.jl
111 lines (104 loc) · 2.68 KB
/
singlelabelregressionmetrics.jl
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##### Beginning of file
import DataFrames
import MLBase
import StatsBase
"""
"""
function singlelabelregressionytrue(
labels::AbstractVector;
float_type::Type{<:AbstractFloat} = Cfloat,
)
result = float_type.(labels)
return result
end
"""
"""
function singlelabelregressionypred(
labels::AbstractVector;
float_type::Type{<:AbstractFloat} = Cfloat,
)
result = float_type.(labels)
return result
end
"""
"""
function _singlelabelregressionmetrics(
estimator::Fittable,
features_df::DataFrames.AbstractDataFrame,
labels_df::DataFrames.AbstractDataFrame,
single_label_name::Symbol,
)
ytrue = singlelabelregressionytrue(
labels_df[single_label_name],
)
predictionsalllabels = predict(estimator, features_df)
ypred = singlelabelregressionypred(
predictionsalllabels[single_label_name],
)
results = Dict()
results[:r2_score] = r2_score(
ytrue,
ypred,
)
results[:mean_square_error] = mean_square_error(
ytrue,
ypred,
)
results[:root_mean_square_error] = root_mean_square_error(
ytrue,
ypred,
)
results = fix_type(results)
return results
end
"""
"""
function singlelabelregressionmetrics(
estimator::Fittable,
features_df::DataFrames.AbstractDataFrame,
labels_df::DataFrames.AbstractDataFrame,
single_label_name::Symbol,
)
vectorofestimators = Fittable[estimator]
result = singlelabelregressionmetrics(
vectorofestimators,
features_df,
labels_df,
single_label_name,
)
return result
end
"""
"""
function singlelabelregressionmetrics(
vectorofestimators::AbstractVector{Fittable},
features_df::DataFrames.AbstractDataFrame,
labels_df::DataFrames.AbstractDataFrame,
single_label_name::Symbol;
kwargs...
)
metricsforeachestimator = [
_singlelabelregressionmetrics(
est,
features_df,
labels_df,
single_label_name,
)
for est in vectorofestimators
]
result = DataFrames.DataFrame()
result[:metric] = [
"R^2 (coefficient of determination)",
"Mean squared error (MSE)",
"Root mean square error (RMSE)",
]
for i = 1:length(vectorofestimators)
result[Symbol(vectorofestimators[i].name)] = [
metricsforeachestimator[i][:r2_score],
metricsforeachestimator[i][:mean_square_error],
metricsforeachestimator[i][:root_mean_square_error],
]
end
return result
end
##### End of file