Python load_data示例

示例#1

文件： experiment.py 项目： zubekj/mlppi

def train_segment_classifier(input_files, output_file):
    X, y = segment_learning.load_data(train_csv_file)
    X_test, y_test = segment_learning.load_data(test_csv_file)
    try:
        segment_learning.train_test_experiment(X, y, X_test, y_test, output_file)
    except ValueError:
        pass

示例#2

文件： experiment.py 项目： sailfish009/mlppi

def train_segment_classifier(input_files, output_file):
    X, y = segment_learning.load_data(train_csv_file)
    X_test, y_test = segment_learning.load_data(test_csv_file)
    try:
        segment_learning.train_test_experiment(X, y, X_test, y_test,
                                               output_file)
    except ValueError:
        pass

示例#3

文件： experiment.py 项目： zubekj/mlppi

def train_segment_classifier(input_files, output_file):
    X, y = segment_learning.load_data(train_csv_file)
    X_test, y_test = segment_learning.load_data(test_csv_file)
    segment_learning.train_test_experiment(X, y, X_test, y_test, output_file)

示例#4

文件： experiment.py 项目： sailfish009/mlppi

def train_segment_classifier(input_files, output_file):
    X, y = segment_learning.load_data(train_csv_file)
    X_test, y_test = segment_learning.load_data(test_csv_file)
    segment_learning.train_test_experiment(X, y, X_test, y_test, output_file)