import matchzoo as mz
import os

class DRMMConfig():
    # preprocessor = mz.preprocessors.DRMMPreprocessor()
    optimizer = 'SGD'
    model = mz.models.DRMM
    generator_flag = 1
    name = 'DRMM'

    num_dup = 1
    num_neg = 4
    shuffle = True

    ###### training config ######
    batch_size = 20
    epoch = 20

    ##### save config #####
    parent_path = '/ssd2/wanning/matchzoo/saved_model/drmm'
    save_path = os.path.join(parent_path,'')
8af4caba9050dd8e7ce95759ae754e3224810d17
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class DRMMConfig:
    <mask token>
    <mask token>
    <mask token>
    <mask token>
    <mask token>
    <mask token>
    <mask token>
    <mask token>
    <mask token>
    <mask token>
    <mask token>

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class DRMMConfig:
    optimizer = 'SGD'
    model = mz.models.DRMM
    generator_flag = 1
    name = 'DRMM'
    num_dup = 1
    num_neg = 4
    shuffle = True
    batch_size = 20
    epoch = 20
    parent_path = '/ssd2/wanning/matchzoo/saved_model/drmm'
    save_path = os.path.join(parent_path, '')

import matchzoo as mz
import os


class DRMMConfig:
    optimizer = 'SGD'
    model = mz.models.DRMM
    generator_flag = 1
    name = 'DRMM'
    num_dup = 1
    num_neg = 4
    shuffle = True
    batch_size = 20
    epoch = 20
    parent_path = '/ssd2/wanning/matchzoo/saved_model/drmm'
    save_path = os.path.join(parent_path, '')

import matchzoo as mz
import os

class DRMMConfig():
    # preprocessor = mz.preprocessors.DRMMPreprocessor()
    optimizer = 'SGD'
    model = mz.models.DRMM
    generator_flag = 1
    name = 'DRMM'

    num_dup = 1
    num_neg = 4
    shuffle = True

    ###### training config ######
    batch_size = 20
    epoch = 20

    ##### save config #####
    parent_path = '/ssd2/wanning/matchzoo/saved_model/drmm'
    save_path = os.path.join(parent_path,'')