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How to use pre method in avocado

Best Python code snippet using avocado_python

tbPreCard_TabStripMenus_Operations.js

Source:tbPreCard_TabStripMenus_Operations.js

1ï»¿2var 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#è¯»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#è¯»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#è¯»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#è¯»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#è¯»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#è¯»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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