def __init__(self):
print "Info: ", "Create empty Machines manager"
self.dataManager = None
self.evaluator = Evaluator()
self.HSIDailyTrendNNSubManager = HSIDailyTrendNNManager()
self.HSIFutureHalfHourTrendLSTMNNSubManager = HSIFutureHalfHourTrendLSTMNNManager()
class MachinesManager:
def __init__(self):
print "Info: ", "Create empty Machines manager"
self.dataManager = None
self.evaluator = Evaluator()
self.HSIDailyTrendNNSubManager = HSIDailyTrendNNManager()
self.HSIFutureHalfHourTrendLSTMNNSubManager = HSIFutureHalfHourTrendLSTMNNManager()
def setManager(self, dataManager, machineConfig):
print "Info: ", "Set Machines Manager"
self.dataManager = dataManager
# set HSI Daily Trend Predict NN
HSIDailyTrendNNConfig = machineConfig['HSIDailyTrendNN']
self.HSIDailyTrendNNSubManager.setManager( \
dataManager = self.dataManager, \
evaluator = self.evaluator, \
labels = HSIDailyTrendNNConfig["labels"], \
modelSDate = HSIDailyTrendNNConfig["modelSDate"], \
modelEDate = HSIDailyTrendNNConfig["modelEDate"], \
status = HSIDailyTrendNNConfig["status"], \
Xtrain = HSIDailyTrendNNConfig["Xtrain"], \
ytrain = HSIDailyTrendNNConfig["ytrain"], \
Xval = HSIDailyTrendNNConfig["Xval"], \
yval = HSIDailyTrendNNConfig["yval"], \
Xtest = HSIDailyTrendNNConfig["Xtest"], \
ytest = HSIDailyTrendNNConfig["ytest"], \
model = HSIDailyTrendNNConfig["model"])
# set HSI Futures Half Hour Trend Predict LSTM NN
self.HSIFutureHalfHourTrendLSTMNNSubManager.setManager(\
dataManager = self.dataManager, \
evaluator = self.evaluator)
