Exemplo n.º 1
0
        public static void Train(GPUModule module, List <OneHotRecordReadOnly> allTrainRecords, Network net, float learnRate = 0.02f, float momentum = 0.5f, int epochsBeforeMergeHoldout = 30, int totalEpochs = 50, string tmpDir = null)
        {
            // use roughly last day for validation
            var trainCount   = allTrainRecords.Count;
            var holdoutCount = trainCount / 7;

            trainCount = trainCount - holdoutCount;
            var holdoutRecords = allTrainRecords.Skip(trainCount).ToList();

            holdoutRecords.Shuffle();
            var trainRecords = allTrainRecords.Take(trainCount).ToList();

            var trainProvider = new OneHotRecordProvider(module, trainRecords, "train", shuffleEveryEpoch: true);

            //var trainProvider = new ClicksProvider(module, TRAINSET_BIN_PATH, "train");
            trainProvider._currentEpoch = 0;
            var holdoutProvider = new OneHotRecordProvider(module, holdoutRecords, "test");// new ClicksProvider(module, TESTSET_BIN_PATH, "test");

            //var testProvider = new ClicksProvider(module, TESTSET_BIN_PATH, "test");
            holdoutProvider._currentEpoch = 0;

            var trainer = new CriteoTrainer(net, trainProvider, holdoutProvider);

            trainer.Train(learnRate, momentum, epocsBeforeReport: 40, epocsBeforeMergeHoldout: epochsBeforeMergeHoldout, totalEpochs: totalEpochs, workDir: tmpDir);
        }
Exemplo n.º 2
0
        public static void Train(GPUModule module, List<OneHotRecordReadOnly> allTrainRecords, Network net, float learnRate = 0.02f, float momentum = 0.5f, int epochsBeforeMergeHoldout = 30, int totalEpochs = 50, string tmpDir = null)
        {
            // use roughly last day for validation
            var trainCount = allTrainRecords.Count;
            var holdoutCount = trainCount / 7;
            trainCount = trainCount - holdoutCount;
            var holdoutRecords = allTrainRecords.Skip(trainCount).ToList();
            holdoutRecords.Shuffle();
            var trainRecords = allTrainRecords.Take(trainCount).ToList();

            var trainProvider = new OneHotRecordProvider(module, trainRecords, "train", shuffleEveryEpoch: true);
            //var trainProvider = new ClicksProvider(module, TRAINSET_BIN_PATH, "train");
            trainProvider._currentEpoch = 0;
            var holdoutProvider = new OneHotRecordProvider(module, holdoutRecords, "test");// new ClicksProvider(module, TESTSET_BIN_PATH, "test");
            //var testProvider = new ClicksProvider(module, TESTSET_BIN_PATH, "test");
            holdoutProvider._currentEpoch = 0;

            var trainer = new CriteoTrainer(net, trainProvider, holdoutProvider);
            trainer.Train(learnRate, momentum, epocsBeforeReport: 40, epocsBeforeMergeHoldout: epochsBeforeMergeHoldout, totalEpochs: totalEpochs, workDir: tmpDir);
        }