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random_forest_client_sample.py File Reference

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Namespaces

namespace  random_forest_client_sample

Variables

int random_forest_client_sample.answer = 1
string random_forest_client_sample.ENDC = '\033[0m'
string random_forest_client_sample.FAIL = '\033[91m'
string random_forest_client_sample.HEADER = '\033[95m'
string random_forest_client_sample.OKBLUE = '\033[94m'
string random_forest_client_sample.OKGREEN = '\033[92m'
tuple random_forest_client_sample.predict_data = rospy.ServiceProxy('predict', ClassifyData)
tuple random_forest_client_sample.req = ClassifyDataRequest()
tuple random_forest_client_sample.req_point = ClassDataPoint()
tuple random_forest_client_sample.response = predict_data(req)
list random_forest_client_sample.target = [random.random(), random.random()]
string random_forest_client_sample.WARNING = '\033[93m'


sklearn
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autogenerated on Wed Oct 7 2015 14:06:59