How to use pre method in avocado
Best Python code snippet using avocado_python
tbPreCard_TabStripMenus_Operations.js
Source:tbPreCard_TabStripMenus_Operations.js 
12var CurrentPageState_PreCard = 'View';3var ConfirmState_PreCard = null;4var ObjPreCard_PreCard = null;5var SelectedPreCardType_PreCard = null;6var CurrentPageCombosCallBcakStateObj = new Object();7function GetBoxesHeaders_PreCard() {8 document.getElementById('header_PreCards_PreCard').innerHTML = document.getElementById('hfheader_PreCards_PreCard').value;9 document.getElementById('header_tblPreCards_PreCard').innerHTML = document.getElementById('hfheader_tblPreCards_PreCard').value;10}11function tlbItemNew_TlbPreCard_onClick() {12 ClearList_PreCard();13 ChangePageState_PreCard('Add'); 14 FocusOnFirstElement_PreCard();15}16function FocusOnFirstElement_PreCard() {17 document.getElementById('chbActivePreCard_PreCard').focus();18}19function SetActionMode_PreCard(state) {20 document.getElementById('ActionMode_PreCard').innerHTML = document.getElementById("hf" + state + "_PreCard").value;21}22function ChangePageState_PreCard(state) {23 CurrentPageState_PreCard = state;24 SetActionMode_PreCard(state);25 if (state == 'Add' || state == 'Edit' || state == 'Delete') {26 if (TlbPreCard.get_items().getItemById('tlbItemNew_TlbPreCard') != null) {27 TlbPreCard.get_items().getItemById('tlbItemNew_TlbPreCard').set_enabled(false);28 TlbPreCard.get_items().getItemById('tlbItemNew_TlbPreCard').set_imageUrl('add_silver.png');29 }30 if (TlbPreCard.get_items().getItemById('tlbItemEdit_TlbPreCard') != null) {31 TlbPreCard.get_items().getItemById('tlbItemEdit_TlbPreCard').set_enabled(false);32 TlbPreCard.get_items().getItemById('tlbItemEdit_TlbPreCard').set_imageUrl('edit_silver.png');33 }34 if (TlbPreCard.get_items().getItemById('tlbItemDelete_TlbPreCard') != null) {35 TlbPreCard.get_items().getItemById('tlbItemDelete_TlbPreCard').set_enabled(false);36 TlbPreCard.get_items().getItemById('tlbItemDelete_TlbPreCard').set_imageUrl('remove_silver.png');37 }38 TlbPreCard.get_items().getItemById('tlbItemSave_TlbPreCard').set_enabled(true);39 TlbPreCard.get_items().getItemById('tlbItemSave_TlbPreCard').set_imageUrl('save.png');40 TlbPreCard.get_items().getItemById('tlbItemCancel_TlbPreCard').set_enabled(true);41 TlbPreCard.get_items().getItemById('tlbItemCancel_TlbPreCard').set_imageUrl('cancel.png');42 document.getElementById('chbActivePreCard_PreCard').disabled = '';43 if (state == 'Add')44 document.getElementById('chbActivePreCard_PreCard').checked = true;45 document.getElementById('txtPreCardCode_PreCard').disabled = '';46 document.getElementById('txtPreCardName_PreCard').disabled = '';47 document.getElementById('rdbDaily_PreCard').disabled = '';48 document.getElementById('rdbHourly_PreCard').disabled = '';49 document.getElementById('chbJustification_PreCard').disabled = '';50 cmbPreCardType_PreCard.enable();51 if (state == 'Edit')52 NavigatePreCard_PreCard(GridPreCards_PreCard.getSelectedItems()[0]);53 if (state == 'Delete')54 PreCard_onSave();55 }56 if (state == 'View') {57 if (TlbPreCard.get_items().getItemById('tlbItemNew_TlbPreCard') != null) {58 TlbPreCard.get_items().getItemById('tlbItemNew_TlbPreCard').set_enabled(true);59 TlbPreCard.get_items().getItemById('tlbItemNew_TlbPreCard').set_imageUrl('add.png');60 }61 if (TlbPreCard.get_items().getItemById('tlbItemEdit_TlbPreCard')) {62 TlbPreCard.get_items().getItemById('tlbItemEdit_TlbPreCard').set_enabled(true);63 TlbPreCard.get_items().getItemById('tlbItemEdit_TlbPreCard').set_imageUrl('edit.png');64 }65 if (TlbPreCard.get_items().getItemById('tlbItemDelete_TlbPreCard') != null) {66 TlbPreCard.get_items().getItemById('tlbItemDelete_TlbPreCard').set_enabled(true);67 TlbPreCard.get_items().getItemById('tlbItemDelete_TlbPreCard').set_imageUrl('remove.png');68 }69 TlbPreCard.get_items().getItemById('tlbItemSave_TlbPreCard').set_enabled(false);70 TlbPreCard.get_items().getItemById('tlbItemSave_TlbPreCard').set_imageUrl('save_silver.png');71 TlbPreCard.get_items().getItemById('tlbItemCancel_TlbPreCard').set_enabled(false);72 TlbPreCard.get_items().getItemById('tlbItemCancel_TlbPreCard').set_imageUrl('cancel_silver.png');73 document.getElementById('chbActivePreCard_PreCard').disabled = 'disabled';74 document.getElementById('txtPreCardCode_PreCard').disabled = 'disabled';75 document.getElementById('txtPreCardName_PreCard').disabled = 'disabled';76 document.getElementById('rdbDaily_PreCard').disabled = 'disabled';77 document.getElementById('rdbHourly_PreCard').disabled = 'disabled';78 document.getElementById('chbJustification_PreCard').disabled = 'disabled';79 cmbPreCardType_PreCard.disable();80 }81}82function PreCard_onSave() {83 if (CurrentPageState_PreCard != 'Delete')84 UpdatePreCard_PreCard();85 else86 ShowDialogConfirm('Delete');87}88function UpdatePreCard_PreCard() {89 ObjPreCard_PreCard = new Object();90 ObjPreCard_PreCard.ID = '0';91 ObjPreCard_PreCard.IsActive = false;92 ObjPreCard_PreCard.Code = null;93 ObjPreCard_PreCard.Name = null;94 ObjPreCard_PreCard.PreCardTypeID = '0';95 ObjPreCard_PreCard.PreCardTypeTitle = null;96 ObjPreCard_PreCard.IsDaily = false;97 ObjPreCard_PreCard.IsHourly = false;98 ObjPreCard_PreCard.IsJustification = false;99 var SelectedItems_GridPreCards_PreCard = GridPreCards_PreCard.getSelectedItems();100 if (SelectedItems_GridPreCards_PreCard.length > 0)101 ObjPreCard_PreCard.ID = SelectedItems_GridPreCards_PreCard[0].getMember("ID").get_text();102 if (CurrentPageState_PreCard != 'Delete') {103 ObjPreCard_PreCard.IsActive = document.getElementById('chbActivePreCard_PreCard').checked;104 ObjPreCard_PreCard.Code = document.getElementById('txtPreCardCode_PreCard').value;105 ObjPreCard_PreCard.Name = document.getElementById('txtPreCardName_PreCard').value;106 ObjPreCard_PreCard.IsDaily = document.getElementById('rdbDaily_PreCard').checked;107 ObjPreCard_PreCard.IsHourly = document.getElementById('rdbHourly_PreCard').checked;108 ObjPreCard_PreCard.IsJustification = document.getElementById('chbJustification_PreCard').checked;109 if (cmbPreCardType_PreCard.getSelectedItem() != undefined) {110 ObjPreCard_PreCard.PreCardTypeID = cmbPreCardType_PreCard.getSelectedItem().get_value();111 ObjPreCard_PreCard.PreCardTypeTitle = cmbPreCardType_PreCard.getSelectedItem().get_text();112 }113 else {114 if (SelectedPreCardType_PreCard != null) {115 ObjPreCard_PreCard.PreCardTypeID = SelectedPreCardType_PreCard.ID;116 ObjPreCard_PreCard.PreCardTypeTitle = SelectedPreCardType_PreCard.Name;117 }118 }119 }120 UpdatePreCard_PreCardPage(CharToKeyCode_PreCard(CurrentPageState_PreCard), CharToKeyCode_PreCard(ObjPreCard_PreCard.ID), CharToKeyCode_PreCard(ObjPreCard_PreCard.IsActive.toString()), CharToKeyCode_PreCard(ObjPreCard_PreCard.Code), CharToKeyCode_PreCard(ObjPreCard_PreCard.Name), CharToKeyCode_PreCard(ObjPreCard_PreCard.PreCardTypeID), CharToKeyCode_PreCard(ObjPreCard_PreCard.IsDaily.toString()), CharToKeyCode_PreCard(ObjPreCard_PreCard.IsHourly.toString()), CharToKeyCode_PreCard(ObjPreCard_PreCard.IsJustification.toString()));121}122function UpdatePreCard_PreCardPage_onCallBack(Response) {123 var RetMessage = Response;124 if (RetMessage != null && RetMessage.length > 0) {125 if (Response[1] == "ConnectionError") {126 Response[0] = document.getElementById('hfErrorType_PreCard').value;127 Response[1] = document.getElementById('hfConnectionError_PreCard').value;128 }129 showDialog(RetMessage[0], Response[1], RetMessage[2]);130 if (RetMessage[2] == 'success') {131 ClearList_PreCard();132 PreCard_OnAfterUpdate(Response);133 ChangePageState_PreCard('View');134 }135 else {136 if (CurrentPageState_PreCard == 'Delete')137 ChangePageState_PreCard('View');138 }139 }140}141function PreCard_OnAfterUpdate(Response) {142 if (ObjPreCard_PreCard != null) {143 var IsActive = ObjPreCard_PreCard.IsActive;144 var PreCardCode = ObjPreCard_PreCard.Code;145 var PreCardName = ObjPreCard_PreCard.Name;146 var PreCardTypeID = ObjPreCard_PreCard.PreCardTypeID;147 var PreCardTypeTitle = ObjPreCard_PreCard.PreCardTypeTitle;148 var IsDaily = ObjPreCard_PreCard.IsDaily;149 var IsHourly = ObjPreCard_PreCard.IsHourly;150 var IsJustification = ObjPreCard_PreCard.IsJustification;151 var PreCardItem = null;152 GridPreCards_PreCard.beginUpdate();153 switch (CurrentPageState_PreCard) {154 case 'Add':155 PreCardItem = GridPreCards_PreCard.get_table().addEmptyRow(GridPreCards_PreCard.get_recordCount());156 PreCardItem.setValue(0, Response[3], false);157 GridPreCards_PreCard.selectByKey(Response[3], 0, false);158 break;159 case 'Edit':160 GridPreCards_PreCard.selectByKey(Response[3], 0, false);161 PreCardItem = GridPreCards_PreCard.getItemFromKey(0, Response[3]);162 break;163 case 'Delete':164 GridPreCards_PreCard.selectByKey(ObjPreCard_PreCard.ID, 0, false);165 GridPreCards_PreCard.deleteSelected();166 break;167 }168 if (CurrentPageState_PreCard != 'Delete') {169 PreCardItem.setValue(1, IsActive, false);170 PreCardItem.setValue(2, PreCardCode, false);171 PreCardItem.setValue(3, PreCardName, false);172 PreCardItem.setValue(4, PreCardTypeID, false);173 PreCardItem.setValue(5, PreCardTypeTitle, false);174 PreCardItem.setValue(6, IsDaily, false);175 PreCardItem.setValue(7, IsHourly, false);176 PreCardItem.setValue(8, IsJustification, false);177 }178 GridPreCards_PreCard.endUpdate();179 }180}181function ClearList_PreCard() {182 document.getElementById('chbActivePreCard_PreCard').checked = false;183 document.getElementById('txtPreCardCode_PreCard').value = '';184 document.getElementById('txtPreCardName_PreCard').value = '';185 document.getElementById('cmbPreCardType_PreCard_Input').value = document.getElementById('hfcmbAlarm_PreCard').value;186 cmbPreCardType_PreCard.unSelect();187 document.getElementById('rdbDaily_PreCard').checked = false;188 document.getElementById('rdbHourly_PreCard').checked = false;189 document.getElementById('chbJustification_PreCard').checked = false;190}191function CharToKeyCode_PreCard(str) {192 var OutStr = '';193 if (str != null && str != undefined) {194 for (var i = 0; i < str.length; i++) {195 var KeyCode = str.charCodeAt(i);196 var CharKeyCode = '//' + KeyCode;197 OutStr += CharKeyCode;198 }199 }200 return OutStr;201}202function tlbItemEdit_TlbPreCard_onClick() {203 ChangePageState_PreCard('Edit');204 FocusOnFirstElement_PreCard();205}206function tlbItemDelete_TlbPreCard_onClick() {207 ChangePageState_PreCard('Delete'); 208}209function tlbItemSave_TlbPreCard_onClick() {210 CollapseControls_PreCard();211 PreCard_onSave();212}213function tlbItemCancel_TlbPreCard_onClick() {214 ChangePageState_PreCard('View');215 ClearList_PreCard();216}217function tlbItemExit_TlbPreCard_onClick() {218 ShowDialogConfirm('Exit');219}220function ShowDialogConfirm(confirmState) {221 ConfirmState_PreCard = confirmState;222 if (CurrentPageState_PreCard == 'Delete')223 document.getElementById('lblConfirm').innerHTML = document.getElementById('hfDeleteMessage_PreCard').value;224 else225 document.getElementById('lblConfirm').innerHTML = document.getElementById('hfCloseMessage_PreCard').value;226 DialogConfirm.Show();227 CollapseControls_PreCard();228}229function Refresh_GridPreCards_PreCard() {230 Fill_GridPreCards_PreCard();231}232function Fill_GridPreCards_PreCard() {233 document.getElementById('loadingPanel_GridPreCards_PreCard').innerHTML = document.getElementById('hfloadingPanel_GridPreCards_PreCard').value;234 CallBack_GridPreCards_PreCard.callback();235}236function GridPreCards_PreCard_onLoad(sender, e) {237 document.getElementById('loadingPanel_GridPreCards_PreCard').innerHTML = '';238}239function GridPreCards_PreCard_onItemSelect(sender, e) {240 if (CurrentPageState_PreCard != 'Add')241 NavigatePreCard_PreCard(e.get_item());242}243function NavigatePreCard_PreCard(selectedPreCardItem) {244 if (selectedPreCardItem != undefined) {245 document.getElementById('chbActivePreCard_PreCard').checked = selectedPreCardItem.getMember('Active').get_value();246 document.getElementById('txtPreCardCode_PreCard').value = selectedPreCardItem.getMember('Code').get_value();247 document.getElementById('txtPreCardName_PreCard').value = selectedPreCardItem.getMember('Name').get_value();248 SelectedPreCardType_PreCard = new Object();249 SelectedPreCardType_PreCard.ID = selectedPreCardItem.getMember('PrecardGroup.ID').get_text();250 document.getElementById('cmbPreCardType_PreCard_Input').value = SelectedPreCardType_PreCard.Name = selectedPreCardItem.getMember('PrecardGroup.Name').get_text();251 document.getElementById('rdbDaily_PreCard').checked = selectedPreCardItem.getMember('IsDaily').get_value();252 document.getElementById('rdbHourly_PreCard').checked = selectedPreCardItem.getMember('IsHourly').get_value();253 document.getElementById('chbJustification_PreCard').checked = selectedPreCardItem.getMember('IsPermit').get_value();254 } 255}256function CallBack_GridPreCards_PreCard_onCallbackComplete(sender, e) {257 var error = document.getElementById('ErrorHiddenField_PreCards').value;258 if (error != "") {259 var errorParts = eval('(' + error + ')');260 showDialog(errorParts[0], errorParts[1], errorParts[2]);261 if (errorParts[3] == 'Reload')262 Fill_GridPreCards_PreCard();263 }264}265function cmbPreCardType_PreCard_onExpand(sender, e) {266 if (cmbPreCardType_PreCard.get_itemCount() == 0 && CurrentPageCombosCallBcakStateObj.IsExpandOccured_cmbPreCardType_PreCard == undefined) {267 CurrentPageCombosCallBcakStateObj.IsExpandOccured_cmbPreCardType_PreCard = true;268 CallBack_cmbPreCardType_PreCard.callback();269 }270}271function cmbPreCardType_PreCard_onCollapse(sender, e) {272 if (CurrentPageCombosCallBcakStateObj.cmbPreCardType_PreCard) {273 CurrentPageCombosCallBcakStateObj.cmbPreCardType_PreCard = false;274 cmbPreCardType_PreCard.expand();275 }276 if (cmbPreCardType_PreCard.getSelectedItem() == undefined && SelectedPreCardType_PreCard == null)277 document.getElementById('cmbPreCardType_PreCard_Input').value = document.getElementById('hfcmbAlarm_PreCard').value;278 else {279 if (SelectedPreCardType_PreCard != null)280 document.getElementById('cmbPreCardType_PreCard_Input').value = SelectedPreCardType_PreCard.Name;281 }282}283function CallBack_cmbPreCardType_PreCard_onBeforeCallback(sender, e) {284 cmbPreCardType_PreCard.dispose();285}286function CallBack_cmbPreCardType_PreCard_onCallbackComplete(sender, e) {287 var error = document.getElementById('ErrorHiddenField_PreCardType').value;288 if (error == "") {289 if (CheckNavigator_onCmbCallBackCompleted())290 CurrentPageCombosCallBcakStateObj.cmbPreCardType_PreCard = true;291 else292 CurrentPageCombosCallBcakStateObj.cmbPreCardType_PreCard = false;293 document.getElementById('cmbPreCardType_PreCard_DropDown').style.display = 'none';294 cmbPreCardType_PreCard.expand();295 }296 else {297 var errorParts = eval('(' + error + ')');298 showDialog(errorParts[0], errorParts[1], errorParts[2]);299 document.getElementById('cmbPreCardType_PreCard_DropDown').style.display = 'none';300 }301}302function tlbItemOk_TlbOkConfirm_onClick() {303 switch (ConfirmState_PreCard) {304 case 'Delete':305 DialogConfirm.Close();306 UpdatePreCard_PreCard();307 break;308 case 'Exit':309 ClearList_PreCard();310 parent.CloseCurrentTabOnTabStripMenus();311 break;312 default:313 }314}315function CheckNavigator_onCmbCallBackCompleted() {316 if (navigator.userAgent.indexOf('Safari') != -1 || navigator.userAgent.indexOf('Chrome') != -1)317 return true;318 return false;319}320function tlbItemCancel_TlbCancelConfirm_onClick() {321 DialogConfirm.Close();322 ChangePageState_PreCard('View');323}324function CallBack_GridPreCards_PreCard_onCallbackError(sender, e) {325 document.getElementById('loadingPanel_GridPreCards_PreCard').innerHTML = '';326 ShowConnectionError_PreCard();327}328function ShowConnectionError_PreCard() {329 var error = document.getElementById('hfErrorType_PreCard').value;330 var errorBody = document.getElementById('hfConnectionError_PreCard').value;331 showDialog(error, errorBody, 'error');332}333function CollapseControls_PreCard() {334 cmbPreCardType_PreCard.collapse();335}336function tlbItemFormReconstruction_TlbPreCard_onClick() {337 parent.DialogLoading.Show();338 parent.document.getElementById('pgvPreCardIntroduction_iFrame').src = 'PreCard.aspx';339}340function tlbItemHelp_TlbPreCard_onClick() {341 LoadHelpPage('tlbItemHelp_TlbPreCard'); ...
train_rf.py
Source:train_rf.py
1print('begin')2import numpy as np3import matplotlib.pyplot as plt 4from sklearn import linear_model5from sklearn.pipeline import Pipeline6from sklearn.ensemble import ExtraTreesRegressor7from sklearn.ensemble import AdaBoostRegressor8from sklearn.feature_selection import RFECV9from sklearn.ensemble.forest import RandomForestRegressor10from sklearn.ensemble import GradientBoostingRegressor11from sklearn.linear_model import LassoLarsCV12from sklearn.linear_model import ElasticNet13from sklearn.metrics import mean_squared_error14from sklearn.linear_model import BayesianRidge15from sklearn.linear_model import SGDRegressor16from sklearn.neighbors import KNeighborsRegressor17road1 = "E:/tianchi_koubei/mid_dataset/weather_pm_feature.txt"18road2 = "E:/tianchi_koubei/mid_dataset/count_shop_pay_correct.txt"19way1 = 'r'20road3 = "E:/tianchi_koubei/result/err_shop_loss_rf_last14_0.9.txt"21#road4 ="E:/tianchi_koubei/result/err_shop_loss_gbrt.txt"22way2 = 'w'23def create_xday(xday):24 for i in range(1,504):25 xday.append(i)26 return xday27xday_list = []28xday = create_xday(xday_list)29def create_weekend(xweekend):30 j = 331 qweekend = [68, 102, 190, 190, 229, 348, 446, 467]32 for i in range(1,504): 33 if j == 6 or j ==7:34 if i not in qweekend:35 xweekend.append(1)36 if j == 7:37 j = 138 else:39 j += 140 else:41 if j == 7:42 j = 143 else:44 j += 145 xweekend.append(0)46 else:47 xweekend.append(0)48 j += 149 return xweekend50def create_weekday():51 j = 352 weekday = []53 for i in range(1,504):54 weekday.append(j)55 j += 156 if j == 8:57 j = 158 return weekday59def create_holiday(xday):60 ho_f = []61 holiday = [51,65,66,67,88,89,93,94,95,96,97,98,99,134,177,178,185,186,187,222,223,224,225,226,227,228,229,237,277,278,279,306,307,308,345,346,347,406,443,444,445,459,460,461,462,463,464,465]62 for d in xday:63 if d not in holiday:64 ho_f.append(0)65 else:66 ho_f.append(1)67 return ho_f68xholiday = create_holiday(xday)69xweekday = create_weekday()70xweekend_list = []71xweekend = create_weekend(xweekend_list)72fr1 = open(road1,way1)73fr2 = open(road2,way1)74fw_rf = open(road3,way2)75#fw_gbrt = open(road4,way2)76i = 077#读åç¹å¾78def readfile_oneshop_X(fr,xday,xweekend,xweekday,xholiday):79 X = []80 X.append(xday)81 X.append(xweekend)82 X.append(xweekday)83 X.append(xholiday)84 '''85 for r in range(0,5):86 line = fr.readline()87 if 2<r < 4:88 re = line.strip('\n').split(',')89 data_str = map(float,re[1:])90 data_float = []91 for s in data_str:92 data_float.append(s)93 X.append((data_float))94 '''95 return np.array(X).T96#读åç®æ å¼97def readfile_oneshop_Y(fr):98 line = fr.readline()99 re = line.strip('\n').split(',')100 data_str = map(float,re[1:])101 data_float = []102 for s in data_str:103 data_float.append(s)104 for i in range(1,490):105 if data_float[i] != 0.0:106 start = i107 break108 return data_float[start-1:]109def Evaluation(pred,test):110 shop_err = 0111 for i in range(0,len(pred)):112 for p,t in zip(pred[i],test[i]):113 if (p+t) == 0.0:114 shop_err += 0.0115 else:116 shop_err += abs((p-t)/(p+t))117 total_err = shop_err/(len(pred)*len(pred[0]))118 return total_err119#shuchu120def output(fw,shopid,y_pre):121 y_pre_str = []122 y_pre_int = map(int,y_pre)123 y_pre_tostr = map(str,y_pre_int)124 for i in y_pre_tostr:125 y_pre_str.append(i)126 fw.write(str(shopid)+','+','.join(y_pre_str)+'\n')127################## 128def Evaluation(pred,test):129 shop_err = 0130 for i in range(0,len(pred)):131 for p,t in zip(pred[i],test[i]):132 if (p+t) == 0.0:133 shop_err += 0.0134 else:135 shop_err += abs((p-t)/(p+t))136 total_err = shop_err/(len(pred)*len(pred[0]))137 return total_err138def create_sampleweight(l):139 sample_weight = []140 for i in range(0,l):141 if i > l-15:142 sample_weight.append(i*0.015)143 else:144 sample_weight.append(i*0.01)145 return np.array(sample_weight)146#print(sample_weight)147adb_pre = []148knn_pre = []149sgd_pre = []150br_pre = []151lacv_pre = []152rf_pre = []153rcv_pre = []154gbrt_pre = []155ext_pre = []156Y_test = []157#ext_pre7d = []158shop = []159err_shop_rf = []160err_shop_gbrt = []161while i<10:162 # readfile163 X = []164 Y = readfile_oneshop_Y(fr2)165 start = len(Y)166 #print(start)167 X = readfile_oneshop_X(fr1,xday,xweekend,xweekday,xholiday)[-(start+14):-14]168 169 x_train = X[:-7]170 y_train = Y[:-7]171 x_test = X[-7:]172 y_test = Y[-7:]173 #sample_weight = create_sampleweight(len(y_train))174 ###175 '''176 ###177 lacv = LassoLarsCV(normalize=True,cv=8)178 lacv.fit(x_train,y_train)179 y_pre_lacv = lacv.predict(x_test)180 lacv_pre.append(y_pre_lacv)181 params_ExtraTrees = {'max_features':'log2','n_estimators': 600,'max_depth':10,'oob_score': True, 'n_jobs':4,'bootstrap':True}182 ext = ExtraTreesRegressor(**params_ExtraTrees)183 ext.fit(x_train,y_train)184 y_pre_ext = ext.predict(x_test)185 ext_pre.append(y_pre_ext)186 ###187 '''188 params_adb = {'n_estimators': 800, 'loss': 'square', 'learning_rate': 0.01, 'random_state': 3}189 adb = AdaBoostRegressor(**params_adb)190 adb.fit(x_train,y_train)191 y_pre_adb = adb.predict(x_test)192 adb_pre.append(y_pre_adb)193 params_rf = {'n_estimators':500,'max_depth':10,'min_samples_split':2,'warm_start':True,'n_jobs':4,'oob_score':True,'max_features':'log2'}194 rf = RandomForestRegressor(**params_rf)195 rf.fit(x_train,y_train)196 y_pre_rf = rf.predict(x_test)197 rf_pre.append(y_pre_rf)198 199 ###200 201 RigeLinearCV = linear_model.RidgeCV(cv=8,normalize=True,gcv_mode='auto',scoring='neg_mean_absolute_error')202 rcv = RigeLinearCV.fit(x_train,y_train)203 y_pre_rcv = rcv.predict(x_test)204 rcv_pre.append(y_pre_rcv)205 br = BayesianRidge(n_iter=300)206 br.fit(x_train,y_train)207 y_pre_br = br.predict(x_test)208 br_pre.append( y_pre_br)209 knn = KNeighborsRegressor(n_neighbors=14,algorithm='brute')210 knn.fit(x_train,y_train)211 y_pre_knn = knn.predict(x_test)212 knn_pre.append(y_pre_knn)213 #print(y_pre_knn)214 #print(y_pre_rcv)215 #y_pre_ext1 = ext.predict(x_test[:-7])216 #y_pre_ext7d = np.append(y_pre_ext1,y_pre_ext1)217 #ext_pre7d.append(y_pre_ext7d)218 #print(y_pre_ext)219 #print(y_pre_ext1)220 ###221 '''222 params_gbrt = {'loss':'huber','n_estimators': 500,'max_depth':12,'learning_rate': 0.01, 'random_state': 3}223 gbrt = GradientBoostingRegressor(**params_gbrt)224 gbrt.fit(x_train,y_train)225 y_pre_gbrt = gbrt.predict(x_test)226 gbrt_pre.append(y_pre_gbrt)227 '''228 ###229 230 Y_test.append(y_test)231 ###232 '''233 loss_rf = Evaluation([y_pre_ext],[y_test])234 #loss_gbrt = Evaluation([y_pre_gbrt],[y_test])235 if loss_rf>0.05:236 output(fw_rf,i+1,y_pre_ext)237 shop.append(i+1)238 fw_rf.write(str(i+1)+',rf,'+str(loss_rf)+'\n')239 plt.scatter(xday[-(start+14):-21],y_train)240 plt.scatter(xday[-21:-14],y_test,color = 'green')241 plt.plot(xday[-21:-14],y_pre_ext,color = 'red')242 path = "e://tianchi_koubei/fig/rf_train_7d_0.9_2.0/"+str(i+1)+'.png'243 plt.savefig(path+".png")244 plt.clf()#æ¸
é¤å¾åï¼ææçé½ç»å°ä¸èµ·äº245 '''246 '''247 if loss_gbrt>0.015:248 output(fw_gbrt,i+1,y_pre_rf)249 fw_gbrt.write(str(i+1)+',gbrt,'+str(loss_gbrt)+'\n')250 '''251 252 253 254 255 print(i)256 i += 1257output(fw_rf,9999,shop)258fr1.close()259fr2.close()260fw_rf.close()261#fw_gbrt.close()262print((Evaluation(rf_pre,Y_test)))263#print(Evaluation(gbrt_pre,Y_test))264print(Evaluation(adb_pre,Y_test))265print(Evaluation(rcv_pre,Y_test))266#print(Evaluation(br_pre,Y_test))267print(Evaluation(knn_pre,Y_test))268#print(Evaluation(ext_pre,Y_test))269#print(Evaluation(lacv_pre,Y_test))...
train_rf_change.py
Source:train_rf_change.py
1print('begin')2import numpy as np3import matplotlib.pyplot as plt 4from sklearn import linear_model5from sklearn.pipeline import Pipeline6from sklearn.ensemble import ExtraTreesRegressor7from sklearn.ensemble import AdaBoostRegressor8from sklearn.feature_selection import RFECV9from sklearn.ensemble.forest import RandomForestRegressor10from sklearn.ensemble import GradientBoostingRegressor11from sklearn.linear_model import LassoLarsCV12from sklearn.linear_model import ElasticNet13from sklearn.metrics import mean_squared_error14road1 = "E:/tianchi_koubei/mid_dataset/weather_pm_feature.txt"15road2 = "E:/tianchi_koubei/mid_dataset/count_shop_pay_correct.txt"16way1 = 'r'17road3 = "E:/tianchi_koubei/result/err_shop_loss_rf_last14_0.9_val.txt"18#road4 ="E:/tianchi_koubei/result/err_shop_loss_gbrt.txt"19way2 = 'w'20def create_xday(xday):21 for i in range(1,504):22 xday.append(i)23 return xday24xday_list = []25xday = create_xday(xday_list)26def create_weekend(xweekend):27 j = 328 qweekend = [68, 102, 190, 190, 229, 348, 446, 467]29 for i in range(1,504): 30 if j == 6 or j ==7:31 if i not in qweekend:32 xweekend.append(1)33 if j == 7:34 j = 135 else:36 j += 137 else:38 if j == 7:39 j = 140 else:41 j += 142 xweekend.append(0)43 else:44 xweekend.append(0)45 j += 146 return xweekend47def create_weekday():48 j = 349 weekday = []50 for i in range(1,504):51 weekday.append(j)52 j += 153 if j == 8:54 j = 155 return weekday56def create_holiday(xday):57 ho_f = []58 holiday = [51,65,66,67,88,89,93,94,95,96,97,98,99,134,177,178,185,186,187,222,223,224,225,226,227,228,229,237,277,278,279,306,307,308,345,346,347,406,443,444,445,459,460,461,462,463,464,465]59 for d in xday:60 if d not in holiday:61 ho_f.append(0)62 else:63 ho_f.append(1)64 return ho_f65xholiday = create_holiday(xday)66xweekday = create_weekday()67xweekend_list = []68xweekend = create_weekend(xweekend_list)69fr1 = open(road1,way1)70fr2 = open(road2,way1)71fw_rf = open(road3,way2)72#fw_gbrt = open(road4,way2)73i = 074#读åç¹å¾75def readfile_oneshop_X(fr,xday,xweekend,xweekday,xholiday):76 X = []77 X.append(xday)78 X.append(xweekend)79 X.append(xweekday)80 X.append(xholiday)81 '''82 for r in range(0,5):83 line = fr.readline()84 if 2<r < 4:85 re = line.strip('\n').split(',')86 data_str = map(float,re[1:])87 data_float = []88 for s in data_str:89 data_float.append(s)90 X.append((data_float))91 '''92 return np.array(X).T93#读åç®æ å¼94def readfile_oneshop_Y(fr):95 line = fr.readline()96 re = line.strip('\n').split(',')97 data_str = map(float,re[1:])98 data_float = []99 for s in data_str:100 data_float.append(s)101 for i in range(1,490):102 if data_float[i] != 0.0:103 start = i104 break105 return data_float[start-1:]106def Evaluation(pred,test):107 shop_err = 0108 for i in range(0,len(pred)):109 for p,t in zip(pred[i],test[i]):110 if (p+t) == 0.0:111 shop_err += 0.0112 else:113 shop_err += abs((p-t)/(p+t))114 total_err = shop_err/(len(pred)*len(pred[0]))115 return total_err116#shuchu117def output(fw,shopid,y_pre):118 y_pre_str = []119 y_pre_int = map(int,y_pre)120 y_pre_tostr = map(str,y_pre_int)121 for i in y_pre_tostr:122 y_pre_str.append(i)123 fw.write(str(shopid)+','+','.join(y_pre_str)+'\n')124################## 125def Evaluation(pred,test):126 shop_err = 0127 for i in range(0,len(pred)):128 for p,t in zip(pred[i],test[i]):129 if (p+t) == 0.0:130 shop_err += 0.0131 else:132 shop_err += abs((p-t)/(p+t))133 total_err = shop_err/(len(pred)*len(pred[0]))134 return total_err135lacv_pre = []136rf_pre = []137rcv_pre = []138gbrt_pre = []139ext_pre = []140Y_test = []141ori_pre = []142#ext_pre7d = []143shop = []144err_shop_rf = []145err_shop_gbrt = []146while i<2000:147 # readfile148 X = []149 Y = readfile_oneshop_Y(fr2)150 start = len(Y)151 #print(start)152 X = readfile_oneshop_X(fr1,xday,xweekend,xweekday,xholiday)[-(start+14):-14]153 154 x_train = X[:-14]155 y_train = Y[:-14]156 x_test = X[-14:-7]157 y_test = Y[-14:-7]158 x_val = X[-7:]159 y_val = Y[-7:]160 ###161 '''162 ###163 lacv = LassoLarsCV(normalize=True,cv=8)164 lacv.fit(x_train,y_train)165 y_pre_lacv = lacv.predict(x_test)166 lacv_pre.append(y_pre_lacv)167 ###168 RigeLinearCV = linear_model.RidgeCV(cv=8,normalize=True,gcv_mode='auto',scoring='neg_mean_absolute_error')169 rcv = RigeLinearCV.fit(x_train,y_train)170 y_pre_rcv = rcv.predict(x_test)171 rcv_pre.append(y_pre_rcv)172 params_rf = {'n_estimators':500,'max_depth':10,'min_samples_split':2,'warm_start':True,'n_jobs':4,'oob_score':True,'max_features':'log2'}173 rf = RandomForestRegressor(**params_rf)174 rf.fit(x_train,y_train)175 y_pre_rf = rf.predict(x_test)176 rf_pre.append(y_pre_rf)177 '''178 ###179 params_ExtraTrees = {'max_features':'log2','n_estimators': 600,'max_depth':10,'oob_score': True, 'n_jobs':4,'bootstrap':True}180 ext = ExtraTreesRegressor(**params_ExtraTrees)181 ext.fit(x_train,y_train)182 y_pre_ext = ext.predict(x_test)183 #ext_pre.append(y_pre_ext)184 #y_pre_ext1 = ext.predict(x_test[:-7])185 #y_pre_ext7d = np.append(y_pre_ext1,y_pre_ext1)186 #ext_pre7d.append(y_pre_ext7d)187 #print(y_pre_ext)188 #print(y_pre_ext1)189 ###190 '''191 params_gbrt = {'loss':'huber','n_estimators': 500,'max_depth':12,'learning_rate': 0.01, 'random_state': 3}192 gbrt = GradientBoostingRegressor(**params_gbrt)193 gbrt.fit(x_train,y_train)194 y_pre_gbrt = gbrt.predict(x_test)195 gbrt_pre.append(y_pre_gbrt)196 '''197 ###198 199 200 ###201 per = 1202 loss_rf = Evaluation([y_pre_ext],[y_test])203 #loss_gbrt = Evaluation([y_pre_gbrt],[y_test])204 if loss_rf>0.09:205 output(fw_rf,i+1,y_pre_ext)206 shop.append(i+1)207 #fw_rf.write(str(i+1)+',rf,'+str(loss_rf)+'\n')208 per = np.mean(y_test)/np.mean(y_pre_ext)209 ext.fit(np.concatenate((x_train,x_test),axis=0),np.append(y_train,y_test))210 pre_ori = ext.predict(x_val)211 if per <1:212 y_last_pre = pre_ori*per*1.05213 elif per >1:214 y_last_pre = pre_ori*per*0.95215 else:216 y_last_pre = pre_ori217 218 ori_pre.append(pre_ori)219 ext_pre.append(y_last_pre)220 Y_test.append(y_val)221 loss = Evaluation([y_last_pre],[y_test])222 if loss > 0.09:223 fw_rf.write(str(i+1)+',rf,'+str(loss)+'\n')224 plt.scatter(xday[-(start+14):-28],y_train)225 plt.scatter(xday[-28:-21],y_test,color = 'green')226 plt.plot(xday[-28:-21],y_pre_ext,color = 'red')227 plt.plot(xday[-21:-14],y_last_pre,color = 'yellow')228 plt.plot(xday[-21:-14],pre_ori,color = 'black')229 plt.scatter(xday[-21:-14],y_val,color = 'blue')230 path = "e://tianchi_koubei/fig/rf_train_7d_0.9_val/"+str(i+1)+'.png'231 plt.savefig(path+".png")232 plt.clf()#æ¸
é¤å¾åï¼ææçé½ç»å°ä¸èµ·äº233 234 '''235 if loss_gbrt>0.015:236 output(fw_gbrt,i+1,y_pre_rf)237 fw_gbrt.write(str(i+1)+',gbrt,'+str(loss_gbrt)+'\n')238 '''239 240 241 242 243 print(i)244 i += 1245output(fw_rf,9999,shop)246fr1.close()247fr2.close()248fw_rf.close()249#fw_gbrt.close()250#print((Evaluation(rf_pre,Y_test)))251#print(Evaluation(gbrt_pre,Y_test))252#print(Evaluation(rcv_pre,Y_test))253print(Evaluation(ext_pre,Y_test))254print(Evaluation(ori_pre,Y_test))255#print(Evaluation(ext_pre7d,Y_test))256#print(Evaluation(lacv_pre,Y_test))...
train_rf_mean.py
Source:train_rf_mean.py
1print('begin')2import numpy as np3import matplotlib.pyplot as plt 4from sklearn.ensemble.forest import RandomForestRegressor5from sklearn.ensemble import GradientBoostingRegressor6road1 = "E:/tianchi_koubei/mid_dataset/create_feature_withpre.txt"7road2 = "E:/tianchi_koubei/mid_dataset/count_shop_pay.txt"8way1 = 'r'9#road3 = "d:/tianchi_koubei/result/union_rf_mean_median_result.csv"10#way2 = 'w'11def create_xday(xday):12 for i in range(1,504):13 xday.append(i)14 return xday15xday_list = []16xday = create_xday(xday_list)17def create_weekend(xweekend):18 j = 319 for i in range(1,504):20 if j == 6 or j ==7:21 xweekend.append(1)22 if j == 7:23 j = 124 else:25 j += 126 else:27 xweekend.append(0)28 j += 129 return xweekend30xweekend_list = []31xweekend = create_weekend(xweekend_list)32fr1 = open(road1,way1)33fr2 = open(road2,way1)34#fw = open(road3,way2)35i = 036#读åç¹å¾37def readfile_oneshop_X(fr,xday,xweekend):38 X = []39 X.append(xday)40 X.append(xweekend)41 for r in range(0,13):42 line = fr.readline()43 re = line.strip('\n').split(',')44 data_str = map(float,re[1:])45 data_float = []46 for s in data_str:47 data_float.append(s)48 X.append((data_float))49 return np.array(X).T50#读åç®æ å¼51def readfile_oneshop_Y(fr):52 line = fr.readline()53 re = line.strip('\n').split(',')54 data_str = map(float,re[1:])55 data_float = []56 for s in data_str:57 data_float.append(s)58 return data_float59def Evaluation(pred,test):60 shop_err = 061 for i in range(0,len(pred)):62 for p,t in zip(pred[i],test[i]):63 if (p+t) == 0.0:64 shop_err += 0.065 else:66 shop_err += abs((p-t)/(p+t))67 total_err = shop_err/(len(pred)*len(pred[0]))68 return total_err69#shuchu70def output(fw,shopid,y_pre):71 y_pre_str = []72 y_pre_int = map(int,y_pre)73 y_pre_tostr = map(str,y_pre_int)74 for i in y_pre_tostr:75 y_pre_str.append(i)76 fw.write(str(shopid)+','+','.join(y_pre_str)+'\n')77################## 78def mean_cp_predict(x_test,mean,cp,n):79 y_pre_cp = []80 for i in range(0,len(x_test)):81 ypre = mean+n*cp82 mean = ypre83 y_pre_cp.append(ypre)84 return y_pre_cp85def mean_predict(x_test,mean,n):86 y_pre_m = []87 for i in range(0,len(x_test)):88 y_pre_m.append(n*mean)89 return y_pre_m90err_shop = []91Y_test = []92rf_pre = []93m2_pre = []94me2_pre = []95union_pre = []96while i<50:97 # readfile98 X = []99 X = readfile_oneshop_X(fr1,xday,xweekend)[-350:]100 Y = readfile_oneshop_Y(fr2)[-350:]101 x_train = X[:-14]102 y_train = Y[:-14]103 x_test = X[-14:]104 y_test = Y[-14:]105 ###106 params_rf = {'n_estimators':800, 'min_samples_split': 2,'warm_start':True,'n_jobs':4}107 rf = RandomForestRegressor(**params_rf)108 rf.fit(x_train,y_train)109 y_pre_rf = rf.predict(x_test)110 ###111 mean1 = np.mean(Y[-7:])112 mean2 = np.mean(Y[-14:])113 mean3 = np.mean(Y[-21:])114 mean4 = np.mean(Y[-28:])115 median1 = np.median(Y[-7:])116 median2 = np.median(Y[-14:])117 median3 = np.median(Y[-21:])118 median4 = np.median(Y[-28:])119 y_pre_m1 = mean_predict(x_test,mean1,1)120 y_pre_m2 = mean_predict(x_test,mean2,1)121 y_pre_m3 = mean_predict(x_test,mean3,1)122 y_pre_m4 = mean_predict(x_test,mean4,1)123 y_pre_me1 = mean_predict(x_test,median1,1)124 y_pre_me2 = mean_predict(x_test,median2,1)125 y_pre_me3 = mean_predict(x_test,median3,1)126 y_pre_me4 = mean_predict(x_test,median4,1)127 ###128 union = 0.6*np.array(y_pre_rf)+0.08*np.array(y_pre_m2)+0.04*np.array(y_pre_m1)+0.04*np.array(y_pre_m3)+0.04*np.array(y_pre_m4)+0.08*np.array(y_pre_me2)+0.04*np.array(y_pre_me1)+0.04*np.array(y_pre_me3)+0.04*np.array(y_pre_me4)129 Y_test.append(y_test)130 rf_pre.append(y_pre_rf)131 m2_pre.append(y_pre_m2)132 me2_pre.append(y_pre_me2)133 union_pre.append(union)134 #output(fw,i+1,union)135 print(i)136 i += 1137fr1.close()138fr2.close()139#fw.close()140print(Evaluation(rf_pre,Y_test))141print(Evaluation(m2_pre,Y_test))142print(Evaluation(me2_pre,Y_test))...
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