(
            self,
            provider,
            use_pre=True,
            epoch=15,
            lr=0.1,
            word_n_grams=2,
            min_count=400,
            dim=100,
            loss="softmax",
            thread=12,
            neg=5)
Initialize a model manager.

        It requires a provider to iterate on for creating the data.
        All hyperparameters for training the model are optional.
Initialize a model manager.
Initialize a model manager .
def __init__(
            self,
            provider,
            use_pre=True,
            epoch=15,
            lr=0.1,
            word_n_grams=2,
            min_count=400,
            dim=100,
            loss="softmax",
            thread=12,
            neg=5):
        """Initialize a model manager.

        It requires a provider to iterate on for creating the data.
        All hyperparameters for training the model are optional.
        """
        self.provider = provider
        self.use_pre = use_pre
        self.epoch = epoch
        self.lr = lr
        self.wordNgrams = word_n_grams
        self.minCount = min_count
        self.dim = dim
        self.loss = loss
        self.thread = thread
        self.neg = neg
def __init__ ( self , provider , use_pre = True , epoch = 15 , lr = 0.1 , word_n_grams = 2 , min_count = 400 , dim = 100 , loss = "softmax" , thread = 12 , neg = 5 ) : self . provider = provider self . use_pre = use_pre self . epoch = epoch self . lr = lr self . wordNgrams = word_n_grams self . minCount = min_count self . dim = dim self . loss = loss self . thread = thread self . neg = neg