Python get_json 예제들

예제 #1

def merge(prefix, X):
    pr = prefix
    if (pr == "test"):
        pr = "valid"
    file_name = data_io.get_json()["feature_" + pr + "_path_matlab"]
    X = add_matlab_samples(X, "./Models/Matlab/" + prefix + "*.csv")
    print "Saving features with shape", X.shape, "at", file_name
    data_io.save(X, file_name)
    return file_name

예제 #2

파일: process_matlab.py 프로젝트: diogo149/causality

def merge(prefix, X):
    pr = prefix
    if(pr == "test"):
        pr = "valid"
    file_name = data_io.get_json()["feature_" + pr + "_path_matlab"]
    X = add_matlab_samples(X, "./Models/Matlab/" + prefix + "*.csv")
    print "Saving features with shape", X.shape, "at", file_name
    data_io.save(X, file_name)
    return file_name

예제 #3

파일: fe.py 프로젝트: diogo149/causality

def main():
    
    fp.n_threads = int(data_io.get_json()["feature_extraction_threads"]) 
    
    print("extracting train data set features")
    X = data_io.load_train_features()
    if(X is None):
        extract_train_features()
    else:
        print("Feature already extracted!")

    print("extracting valid data set features")
    X = data_io.load_valid_features()
    if(X is None):
        extract_valid_features()
    else:
        print("Feature already extracted!")

예제 #4

파일: fe.py 프로젝트: yezhou-huang/causality

def main():

    fp.n_threads = int(data_io.get_json()["feature_extraction_threads"])

    print("extracting train data set features")
    X = data_io.load_train_features()
    if (X is None):
        extract_train_features()
    else:
        print("Feature already extracted!")

    print("extracting valid data set features")
    X = data_io.load_valid_features()
    if (X is None):
        extract_valid_features()
    else:
        print("Feature already extracted!")