Python MusicData.add_features示例

示例#1

文件： music_year_reduce_features.py 项目： alexandreyy/music_year_regression

if __name__ == '__main__':
    '''
    Read music data.
    '''
    
    print "Loading data."
    #music_train = MusicData("resources/YearPredictionMSD_samples_train.txt")
    #music_test = MusicData("resources/YearPredictionMSD_samples_test.txt")
    music_train = MusicData("resources/YearPredictionMSD_train.txt")
    music_validation = MusicData("resources/YearPredictionMSD_validation.txt")
    music_test = MusicData("resources/YearPredictionMSD_test.txt")
    max_degree = 3
    
    # Add polynomial features.
    print "Adding polynomial features."
    music_train.add_features(max_degree)
    music_test.add_features(max_degree)
    music_validation.add_features(max_degree)
    
    ## Normalize data.    
    print "Normalize data."
    #music_train.X = z_norm(music_train.X)
    #music_validation.X = z_norm(music_validation.X)
    #music_test.X = z_norm(music_test.X)
    #music_train.X, mean_X, std_X = z_norm_by_feature(music_train.X)
    #music_validation.X = z_norm_by_feature(music_validation.X, mean_X, std_X)
    #music_test.X = z_norm_by_feature(music_test.X, mean_X, std_X)
   
    
    # Balacing train data.
    print "Balacing train data."

示例#2

文件： music_year_hierarquical_2.py 项目： alexandreyy/music_year_regression

from music_data import MusicData
from normal_equation import solve_normal_equation
from normalize import z_norm, z_norm_by_feature
import numpy as np

if __name__ == '__main__':
    '''
    Read music data.
    '''

    print "Loading data."
    music_train = MusicData("resources/YearPredictionMSD_train.txt")
    music_validation = MusicData("resources/YearPredictionMSD_validation.txt")
    music_test = MusicData("resources/YearPredictionMSD_test.txt")

    music_train.add_features(3)
    music_test.add_features(3)
    music_validation.add_features(3)

    # Normalize data.
    print "Normalize data."
    # music_train.X = z_norm(music_train.X)
    # music_validation.X = z_norm(music_validation.X)
    # music_test.X = z_norm(music_test.X)
    music_train.X, mean_X, std_X = z_norm_by_feature(music_train.X)
    music_validation.X = z_norm_by_feature(music_validation.X, mean_X, std_X)
    music_test.X = z_norm_by_feature(music_test.X, mean_X, std_X)

    #music_validation = MusicData("resources/YearPredictionMSD_validation.txt")
    #music_test = MusicData("resources/YearPredictionMSD_test.txt")