\n\n\n\n","import mod from \"-!../../../../../../nix/store/q9zrviqlhrcmxpr7pgycazx4jxisfrx7-dashboard-modules-0.1.0/node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../../../../nix/store/q9zrviqlhrcmxpr7pgycazx4jxisfrx7-dashboard-modules-0.1.0/node_modules/thread-loader/dist/cjs.js!../../../../../../nix/store/q9zrviqlhrcmxpr7pgycazx4jxisfrx7-dashboard-modules-0.1.0/node_modules/babel-loader/lib/index.js!../../../../../../nix/store/q9zrviqlhrcmxpr7pgycazx4jxisfrx7-dashboard-modules-0.1.0/node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../../nix/store/q9zrviqlhrcmxpr7pgycazx4jxisfrx7-dashboard-modules-0.1.0/node_modules/vue-loader/lib/index.js??vue-loader-options!./BAMDashboard.vue?vue&type=script&lang=js&\"; export default mod; export * from \"-!../../../../../../nix/store/q9zrviqlhrcmxpr7pgycazx4jxisfrx7-dashboard-modules-0.1.0/node_modules/cache-loader/dist/cjs.js??ref--13-0!../../../../../../nix/store/q9zrviqlhrcmxpr7pgycazx4jxisfrx7-dashboard-modules-0.1.0/node_modules/thread-loader/dist/cjs.js!../../../../../../nix/store/q9zrviqlhrcmxpr7pgycazx4jxisfrx7-dashboard-modules-0.1.0/node_modules/babel-loader/lib/index.js!../../../../../../nix/store/q9zrviqlhrcmxpr7pgycazx4jxisfrx7-dashboard-modules-0.1.0/node_modules/cache-loader/dist/cjs.js??ref--1-0!../../../../../../nix/store/q9zrviqlhrcmxpr7pgycazx4jxisfrx7-dashboard-modules-0.1.0/node_modules/vue-loader/lib/index.js??vue-loader-options!./BAMDashboard.vue?vue&type=script&lang=js&\"","import { render, staticRenderFns } from \"./BAMDashboard.vue?vue&type=template&id=22bae894&\"\nimport script from \"./BAMDashboard.vue?vue&type=script&lang=js&\"\nexport * from \"./BAMDashboard.vue?vue&type=script&lang=js&\"\n\n\n/* normalize component */\nimport normalizer from \"!../../../../../../nix/store/q9zrviqlhrcmxpr7pgycazx4jxisfrx7-dashboard-modules-0.1.0/node_modules/vue-loader/lib/runtime/componentNormalizer.js\"\nvar component = normalizer(\n script,\n render,\n staticRenderFns,\n false,\n null,\n null,\n null\n \n)\n\nexport default component.exports","var render = function () {var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c('div',[_c('b-container',{attrs:{\"fluid\":\"\"}},[_c('b-row',[_c('b-col',{attrs:{\"sm\":\"12\"}},[_c('h3',[_c('b-form-radio-group',{staticClass:\"pl-4\",attrs:{\"buttons\":\"\",\"button-variant\":\"outline-primary\",\"options\":[{text: 'Present Indicator', value: 'forecast'}, {text: 'Previous 3 Days Indicators', value: 'progression'}]},model:{value:(_vm.forecastMode),callback:function ($$v) {_vm.forecastMode=$$v},expression:\"forecastMode\"}})],1)]),_vm._l((_vm.orderedRoutes),function(route,routeIndex){return _c('b-col',{key:route.name,staticClass:\"mt-4\"},[(route.description)?_c('b-row',[_c('b-col',{staticClass:\"text-center\"},[_c('h5',[_vm._v(_vm._s(route.description))])])],1):_vm._e(),_c('b-row',_vm._l((route.weeks),function(week,weekIndex){return _c('b-col',{key:week.number,class:_vm.separator(route, routeIndex, weekIndex)},[_c('D3RouteForecast',{ref:\"`{route.name}_fcast_w{week.number}`\",refInFor:true,attrs:{\"data\":week.d3ForecastData,\"week\":week.number,\"route\":route.name,\"mode\":_vm.forecastMode}})],1)}),1)],1)})],2),_c('b-row',{staticClass:\"mt-5 border-top\"},[_c('b-col',{staticClass:\"border-right pt-2\",attrs:{\"sm\":\"6\"}},[_c('b-row',[_c('b-col',{attrs:{\"sm\":\"12\"}},[_c('h5',[_vm._v(\" Feature Importance \"),_c('small',[_c('b-icon',{attrs:{\"id\":\"fi_info\",\"icon\":\"info-circle\"}}),_c('b-tooltip',{attrs:{\"target\":\"fi_info\"}},[_vm._v(\" All categories contain both direct and derived features (inputs), such as technical / statistical properties of a price / time series in that category \")])],1)])]),_vm._l((_vm.featuresLegends),function(entry){return _c('b-col',{key:entry.label,staticClass:\"text-center\"},[_c('span',[_c('big',[_c('big',[_c('span',{style:((\"color: \" + (entry.color)))},[_vm._v(\"●\")])])],1),_vm._v(\" \"+_vm._s(entry.label)+\" \")],1)])})],2),_vm._l((_vm.orderedRoutes),function(route){return _c('b-row',{key:route.name},_vm._l((route.weeks),function(week){return _c('b-col',{key:week.number,staticClass:\"text-center\"},[_c('D3RouteFeatures',{ref:\"`{route.name}_features_w{week.number}`\",refInFor:true,attrs:{\"data\":week.d3FeaturesData,\"week\":week.number,\"route\":route.name,\"canvasSize\":250}})],1)}),1)})],2),_c('b-col',{staticClass:\"pt-2\",attrs:{\"sm\":\"6\"}},[_c('b-row',{staticClass:\"pl-2\"},[_c('b-col',{attrs:{\"sm\":\"12\"}},[_c('h5',[_vm._v(\" Model Performance \"),_c('small',[_c('b-icon',{attrs:{\"id\":\"mp_info\",\"icon\":\"info-circle\"}}),_c('b-tooltip',{attrs:{\"target\":\"mp_info\"}},[_vm._v(\" Recent performance expressed in percentage terms relative to model’s total historical performance \")])],1),_c('b-form-radio-group',{staticClass:\"pl-4\",attrs:{\"buttons\":\"\",\"size\":\"sm\",\"button-variant\":\"outline-primary\",\"options\":[{text: 'Relative', value: 'relative'}, {text: 'Absolute', value: 'absolute'}]},model:{value:(_vm.errorMode),callback:function ($$v) {_vm.errorMode=$$v},expression:\"errorMode\"}}),_c('b-form-radio-group',{staticClass:\"pl-4\",attrs:{\"buttons\":\"\",\"size\":\"sm\",\"button-variant\":\"outline-primary\",\"options\":[{text: '6M', value: 'past_six_months'}, {text: '1Y', value: 'past_year'}]},model:{value:(_vm.windowSize),callback:function ($$v) {_vm.windowSize=$$v},expression:\"windowSize\"}})],1)]),_vm._l((_vm.performanceLegends),function(entry){return _c('b-col',{key:entry.label,staticClass:\"text-center\"},[_c('span',[_c('big',[_c('big',[_c('span',{style:((\"color: \" + (entry.color)))},[_vm._v(\"●\")])])],1),_vm._v(\" \"+_vm._s(entry.label)+\" \")],1)])})],2),_c('b-row',_vm._l((_vm.orderedRoutes),function(route){return _c('b-col',{key:route.name},[_c('b-row',_vm._l((route.weeks),function(week){return _c('b-col',{key:week.number,staticClass:\"text-center\"},[_c('D3RoutePerformance',{ref:\"`{route.name}_features_w{week.number}`\",refInFor:true,attrs:{\"data\":week.d3PerformanceData[_vm.errorMode][_vm.windowSize],\"week\":week.number,\"route\":route.name,\"canvasSize\":250}})],1)}),1)],1)}),1)],1)],1)],1)],1)}\nvar staticRenderFns = []\n\nexport { render, staticRenderFns }","\n
\n \n \n \n
\n \n \n
\n \n \n \n \n
{{ route.description }}
\n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Feature Importance\n \n \n \n \n All categories contain both direct and derived features (inputs),\n such as technical / statistical properties of\n a price / time series in that category\n \n \n