Python read_test_svm Examples

Example #1

File: parameter_predict.py Project: ProgVal/snapworld

def save_to_test(can):
    data = open(data_io.read_test_svm(), "w")
    try:
        for st in can:
            data.write(st + "\n")
        data.close()
    except Exception, e:
        pass

Example #2

File: parameter_predict.py Project: vishalbelsare/snapworld

def save_to_test(can):
    data = open(data_io.read_test_svm(), "w")
    try:
        for st in can:
            data.write(st + "\n")
        data.close()
    except Exception, e:
        pass

Example #3

File: parameter_predict.py Project: ProgVal/snapworld

def estimate():

    features, target = load_svmlight_file(data_io.read_test_svm())
    features = features.todense()

    print("[INFO] Loading the classifier")
    classifier = data_io.load_model()

    print("[INFO] Making predictions")
    predictions = classifier.predict_proba(features)

    return predictions

Example #4

File: parameter_predict.py Project: vishalbelsare/snapworld

def estimate():

    features, target = load_svmlight_file(data_io.read_test_svm())
    features = features.todense()

    print("[INFO] Loading the classifier")
    classifier = data_io.load_model()

    print("[INFO] Making predictions")
    predictions = classifier.predict_proba(features)

    return predictions