#!/bin/sh # 训练新模型,并使用后面的数据计算AUC,评估模型效果 set -x begin_date=$1 end_date=$2 model_name=$3 train_dim=$4 predict_dim=$5 HDFS_TRAIN_DATE_PATH=$6 PROJECT_HOME=/root/zhaohp/recommend-emr-dataprocess HADOOP=/opt/apps/HADOOP-COMMON/hadoop-common-current/bin/hadoop MODEL_PATH=${PROJECT_HOME}/model/ad PREDICT_PATH=${PROJECT_HOME}/predict FM_TRAIN=/root/sunmingze/alphaFM/bin/fm_train FM_PREDICT=/root/sunmingze/alphaFM/bin/fm_predict train_date=$begin_date # 计算模型的AUC,从训练日期的后一天到参数的end_date predict_auc() { echo -e "\t==================== 开始预测 $train_date 模型 ====================" predict_date=$(date -d "$train_date +1 day" +%Y%m%d) predict_end_date=$(date -d "$end_date +1 day" +%Y%m%d) while [ "$predict_date" != "$predict_end_date" ]; do $HADOOP fs -text ${HDFS_TRAIN_DATE_PATH}/${predict_date}/* | ${FM_PREDICT} -m ${MODEL_PATH}/${model_name}_${train_date}.txt -dim ${predict_dim} -core 8 -out ${PREDICT_PATH}/${model_name}_${train_date}.txt auc=`cat ${PREDICT_PATH}/${model_name}_${train_date}.txt | /root/sunmingze/AUC/AUC` echo "模型训练日期: ${train_date}, 模型预测日期: ${predict_date}, AUC: ${auc}, 模型路径: ${MODEL_PATH}/${model_name}_${train_date}.txt" predict_date=$(date -d "$predict_date +1 day" +%Y%m%d) done echo -e "\n\t==================== 预测 $train_date 模型结束 ====================" } main() { # 增量训练模型 while [ "$train_date" != "$end_date" ]; do echo "==================== 开始训练 $train_date 模型 ====================" if [ "$train_date" == "$begin_date" ]; then $HADOOP fs -text ${HDFS_TRAIN_DATE_PATH}/${train_date}/* | ${FM_TRAIN} -m ${MODEL_PATH}/${model_name}_${train_date}.txt -dim ${train_dim} -core 8 else yesterday=$(date -d "$train_date -1 day" +%Y%m%d) $HADOOP fs -text ${HDFS_TRAIN_DATE_PATH}/${train_date}/* | ${FM_TRAIN} -m ${MODEL_PATH}/${model_name}_${train_date}.txt -dim ${train_dim} -core 8 -im ${MODEL_PATH}/${model_name}_${yesterday}.txt fi # predict_auc train_date=$(date -d "$train_date +1 day" +%Y%m%d) echo "==================== 训练 $train_date 模型结束 ====================" echo -e "\n\n\n\n\n\n" done } main # nohup ./ad/20_new_ad_model_train_predict_auc.sh 20240725 20240804 model_bkb8_v55 1,1,8 8 logs/20_ad_model_train_predict_auc.log > logs/20_ad_model_train_predict_auc.log 2>&1 &