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yamaguchiyuto

import numpy as np
import scipy.sparse

class ILFM:
    def __init__(self, var_x=1.0, var_y=1.0, alpha=1.0, max_iter=30, max_sampled_new_features=10):
        self.var_x=var_x
        self.var_y=var_y
        self.alpha=alpha
        self.max_iter=max_iter
        self.max_sampled_new_features=max_sampled_new_features

yamaguchiyuto

yamaguchiyuto

import numpy as np

class DPGMM:
    def __init__(self,alpha=1,mu0=0,rho0=1,a0=1,b0=1,max_iter=30):
        self.alpha = alpha
        self.mu0=mu0
        self.rho0=rho0
        self.a0=a0
        self.b0=b0
        self.max_iter=max_iter

yamaguchiyuto

yamaguchiyuto

import numpy as np

class Tucker:
    def __init__(self,R,S,T,max_iter):
        self.latent_size = (R,S,T)
        self.max_iter=max_iter

    def _calc_data_shape(self,X):
        max_i = -1
        max_j = -1

yamaguchiyuto

yamaguchiyuto

yamaguchiyuto

import numpy as np

class CPALS:
    def __init__(self,k,lamb,max_iter):
        self.k=k
        self.lamb=lamb
        self.max_iter=max_iter

    def _calc_data_shape(self,X):
        max_i = -1

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