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Commit825a80a

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author
minjk-bl
committed
Fix plot_permutation_importance for Regression and Classification
1 parent46df174 commit825a80a

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3 files changed

+194
-10
lines changed

3 files changed

+194
-10
lines changed

‎visualpython/js/com/component/ModelEditor.js‎

Lines changed: 94 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -510,7 +510,15 @@ define([
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options:[
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{name:'importance_featureData',label:'Feature Data',component:['data_select'],var_type:['DataFrame','Series','ndarray','list','dict'],value:'X_train'},
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{name:'importance_targetData',label:'Target Data',component:['data_select'],var_type:['DataFrame','Series','ndarray','list','dict'],value:'y_train'},
513-
{name:'scoring',component:['input'],usePair:true},
513+
{name:'scoring',component:['option_suggest'],usePair:true,type:'text',
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options:[
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'explained_variance','max_error','neg_mean_absolute_error','neg_mean_squared_error','neg_root_mean_squared_error',
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'neg_mean_squared_log_error','neg_median_absolute_error','r2','neg_mean_poisson_deviance','neg_mean_gamma_deviance',
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'neg_mean_absolute_percentage_error',
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'accuracy','balanced_accuracy','top_k_accuracy','average_precision','neg_brier_score',
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'f1','f1_micro','f1_macro','f1_weighted','f1_samples','neg_log_loss','precision','recall','jaccard',
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'roc_auc','roc_auc_ovr','roc_auc_ovo','roc_auc_ovr_weighted','roc_auc_ovo_weighted'
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]},
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{name:'sort',label:'Sort data',component:['bool_checkbox'],value:true,usePair:true},
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{name:'importance_allocate',label:'Allocate to',component:['input'],placeholder:'New variable',value:'importances'}
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]
@@ -524,7 +532,15 @@ define([
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options:[
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{name:'importance_featureData',label:'Feature Data',component:['data_select'],var_type:['DataFrame','Series','ndarray','list','dict'],value:'X_train'},
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{name:'importance_targetData',label:'Target Data',component:['data_select'],var_type:['DataFrame','Series','ndarray','list','dict'],value:'y_train'},
527-
{name:'scoring',component:['input'],usePair:true},
535+
{name:'scoring',component:['option_suggest'],usePair:true,type:'text',
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options:[
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'explained_variance','max_error','neg_mean_absolute_error','neg_mean_squared_error','neg_root_mean_squared_error',
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'neg_mean_squared_log_error','neg_median_absolute_error','r2','neg_mean_poisson_deviance','neg_mean_gamma_deviance',
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'neg_mean_absolute_percentage_error',
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'accuracy','balanced_accuracy','top_k_accuracy','average_precision','neg_brier_score',
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'f1','f1_micro','f1_macro','f1_weighted','f1_samples','neg_log_loss','precision','recall','jaccard',
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'roc_auc','roc_auc_ovr','roc_auc_ovo','roc_auc_ovr_weighted','roc_auc_ovo_weighted'
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]},
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{name:'sort',label:'Sort data',component:['bool_checkbox'],value:true,usePair:true},
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{name:'top_count',label:'Top count',component:['input_number'],min:0,usePair:true}
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]
@@ -668,7 +684,44 @@ define([
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{name:'cvs_allocate',label:'Allocate to',component:['input'],placeholder:'New variable',value:'scores'}
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]
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},
671-
'permutation_importance':defaultInfos['permutation_importance'],
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'permutation_importance':{
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name:'permutation_importance',
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label:'Permutation importance',
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import:'from sklearn.inspection import permutation_importance',
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code:'${importance_allocate} = vp_create_permutation_importances(${model}, ${importance_featureData}, ${importance_targetData}${scoring}${sort})',
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description:'Permutation importance for feature evaluation.',
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options:[
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{name:'importance_featureData',label:'Feature Data',component:['data_select'],var_type:['DataFrame','Series','ndarray','list','dict'],value:'X_train'},
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{name:'importance_targetData',label:'Target Data',component:['data_select'],var_type:['DataFrame','Series','ndarray','list','dict'],value:'y_train'},
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{name:'scoring',component:['option_suggest'],usePair:true,type:'text',
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options:[
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'explained_variance','max_error','neg_mean_absolute_error','neg_mean_squared_error','neg_root_mean_squared_error',
699+
'neg_mean_squared_log_error','neg_median_absolute_error','r2','neg_mean_poisson_deviance','neg_mean_gamma_deviance',
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'neg_mean_absolute_percentage_error'
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]},
702+
{name:'sort',label:'Sort data',component:['bool_checkbox'],value:true,usePair:true},
703+
{name:'importance_allocate',label:'Allocate to',component:['input'],placeholder:'New variable',value:'importances'}
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]
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},
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'plot_permutation_importance':{
707+
name:'plot_permutation_importance',
708+
label:'Plot permutation importance',
709+
import:'from sklearn.inspection import permutation_importance',
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code:'vp_plot_permutation_importances(${model}, ${importance_featureData}, ${importance_targetData}${scoring}${sort}${top_count})',
711+
description:'Permutation importance for feature evaluation.',
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options:[
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{name:'importance_featureData',label:'Feature Data',component:['data_select'],var_type:['DataFrame','Series','ndarray','list','dict'],value:'X_train'},
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{name:'importance_targetData',label:'Target Data',component:['data_select'],var_type:['DataFrame','Series','ndarray','list','dict'],value:'y_train'},
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{name:'scoring',component:['option_suggest'],usePair:true,type:'text',
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options:[
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'explained_variance','max_error','neg_mean_absolute_error','neg_mean_squared_error','neg_root_mean_squared_error',
718+
'neg_mean_squared_log_error','neg_median_absolute_error','r2','neg_mean_poisson_deviance','neg_mean_gamma_deviance',
719+
'neg_mean_absolute_percentage_error'
720+
]},
721+
{name:'sort',label:'Sort data',component:['bool_checkbox'],value:true,usePair:true},
722+
{name:'top_count',label:'Top count',component:['input_number'],min:0,usePair:true}
723+
]
724+
},
672725
'Coefficient':{
673726
name:'coef_',
674727
label:'Coefficient',
@@ -754,7 +807,44 @@ define([
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{name:'auc_targetData',label:'Target Data',component:['data_select'],var_type:['DataFrame','Series','ndarray','list','dict'],value:'y_test'}
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]
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},
757-
'permutation_importance':defaultInfos['permutation_importance']
810+
'permutation_importance':{
811+
name:'permutation_importance',
812+
label:'Permutation importance',
813+
import:'from sklearn.inspection import permutation_importance',
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code:'${importance_allocate} = vp_create_permutation_importances(${model}, ${importance_featureData}, ${importance_targetData}${scoring}${sort})',
815+
description:'Permutation importance for feature evaluation.',
816+
options:[
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{name:'importance_featureData',label:'Feature Data',component:['data_select'],var_type:['DataFrame','Series','ndarray','list','dict'],value:'X_train'},
818+
{name:'importance_targetData',label:'Target Data',component:['data_select'],var_type:['DataFrame','Series','ndarray','list','dict'],value:'y_train'},
819+
{name:'scoring',component:['option_suggest'],usePair:true,type:'text',
820+
options:[
821+
'accuracy','balanced_accuracy','top_k_accuracy','average_precision','neg_brier_score',
822+
'f1','f1_micro','f1_macro','f1_weighted','f1_samples','neg_log_loss','precision','recall','jaccard',
823+
'roc_auc','roc_auc_ovr','roc_auc_ovo','roc_auc_ovr_weighted','roc_auc_ovo_weighted'
824+
]},
825+
{name:'sort',label:'Sort data',component:['bool_checkbox'],value:true,usePair:true},
826+
{name:'importance_allocate',label:'Allocate to',component:['input'],placeholder:'New variable',value:'importances'}
827+
]
828+
},
829+
'plot_permutation_importance':{
830+
name:'plot_permutation_importance',
831+
label:'Plot permutation importance',
832+
import:'from sklearn.inspection import permutation_importance',
833+
code:'vp_plot_permutation_importances(${model}, ${importance_featureData}, ${importance_targetData}${scoring}${sort}${top_count})',
834+
description:'Permutation importance for feature evaluation.',
835+
options:[
836+
{name:'importance_featureData',label:'Feature Data',component:['data_select'],var_type:['DataFrame','Series','ndarray','list','dict'],value:'X_train'},
837+
{name:'importance_targetData',label:'Target Data',component:['data_select'],var_type:['DataFrame','Series','ndarray','list','dict'],value:'y_train'},
838+
{name:'scoring',component:['option_suggest'],usePair:true,type:'text',
839+
options:[
840+
'accuracy','balanced_accuracy','top_k_accuracy','average_precision','neg_brier_score',
841+
'f1','f1_micro','f1_macro','f1_weighted','f1_samples','neg_log_loss','precision','recall','jaccard',
842+
'roc_auc','roc_auc_ovr','roc_auc_ovo','roc_auc_ovr_weighted','roc_auc_ovo_weighted'
843+
]},
844+
{name:'sort',label:'Sort data',component:['bool_checkbox'],value:true,usePair:true},
845+
{name:'top_count',label:'Top count',component:['input_number'],min:0,usePair:true}
846+
]
847+
},
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}
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// feature importances

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