Python plot_champions Examples

Example #1

def main():
    # 1
    champs_df = pd.read_pickle('champ_df.pd')
    print(champs_df)
    champ_pca_array = run_PCA(champs_df, 2)

    # 5
    elice_utils.plot_champions(champs_df, champ_pca_array)
    print(get_closest_champions(champs_df, champ_pca_array, "Ashe", 10))

Example #2

File: Exercise 5: PCA + League of Legends Champions.py Project: huytrinh93/elice-Machine-Learning-Summer-Camp

def main():
    champs_df = pd.read_pickle('champ_df.pd')

    champ_pca_array = run_PCA(champs_df, 2)

    print(elice_utils.plot_champions(champs_df, champ_pca_array))
    print(get_closest_champions(champs_df, champ_pca_array, "Ashe", 10))

Example #3

File: Exercise 6: K-Means Clustering.py Project: huytrinh93/elice-Machine-Learning-Summer-Camp

def main():
    champs_df = pd.read_pickle('champ_df.pd')
    champ_pca_array = run_PCA(champs_df, 2)

    champ_classes = run_kmeans(champ_pca_array, 5, [0, 30, 60, 90, 120])

    print(elice_utils.plot_champions(champs_df, champ_pca_array, champ_classes))

    print(get_champs_by_cluster(champs_df, champ_classes, 3))

Example #4

File: Exercise 6: K-Means Clustering.py Project: whocanhit/elice-Machine-Learning-Summer-Camp

def main():
    champs_df = pd.read_pickle('champ_df.pd')
    champ_pca_array = run_PCA(champs_df, 2)

    champ_classes = run_kmeans(champ_pca_array, 5, [0, 30, 60, 90, 120])

    print(elice_utils.plot_champions(champs_df, champ_pca_array,
                                     champ_classes))

    print(get_champs_by_cluster(champs_df, champ_classes, 3))

Example #5

File: elice_3_31_solution.py Project: skydice/NHNNEXT_ML

def main():
    champs_df = pd.read_pickle('champ_df.pd')
    # 1
    champ_pca_array = run_PCA(champs_df, 2)

    champ_classes = run_kmeans(champ_pca_array, 4 , [0,  40,80, 120])

    # 4
    print(elice_utils.plot_champions(champs_df, champ_pca_array, champ_classes))

    # 5
    print(get_champs_by_cluster(champs_df, champ_classes, 3))