Python State.p_stateの例

コード例 #1

ファイル: recovers_original_densities.py プロジェクト: Kuew/BayesDB

def gen_data_crosscat(mode, T):
    # edit transition list according to 
    
    all_transitions = []

    M_c = du.gen_M_c_from_T(T, cctypes=['continuous']*2)

    state = State.p_state(M_c, T)
    if mode == 'crp_mixture':
        # fix the views
        X_D = state.get_X_D();
        X_L = state.get_X_L();
        X_D = [X_D[0]]
        X_L['column_partition']['assignments'] = [1,1]
        state = State.p_state(M_c, T, X_L=X_L, X_D=X_D)

コード例 #2

def gen_data_crosscat(mode, T):
    # edit transition list according to

    all_transitions = []

    M_c = du.gen_M_c_from_T(T, cctypes=['continuous'] * 2)

    state = State.p_state(M_c, T)
    if mode == 'crp_mixture':
        # fix the views
        X_D = state.get_X_D()
        X_L = state.get_X_L()
        X_D = [X_D[0]]
        X_L['column_partition']['assignments'] = [1, 1]
        state = State.p_state(M_c, T, X_L=X_L, X_D=X_D)