Esempio n. 1
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def path_setup(out_folder="", sublevel=0, data_path="dataset/"):
    #### Relative path
    data_path = os_package_root_path(__file__, sublevel=sublevel, path_add=data_path)
    out_path = os.getcwd() + "/" + out_folder
    os.makedirs(out_path, exist_ok=True)
    log(data_path, out_path)
    return data_path, out_path
Esempio n. 2
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def get_data_file():
    return os.path.join(os_package_root_path(__file__), 'dataset',
                        'IMDB_Dataset.txt')
Esempio n. 3
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def get_config_file():
    return os.path.join(os_package_root_path(__file__, 1), 'config',
                        'model_tch', 'textcnn.json')
Esempio n. 4
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def get_config_file():
    return os.path.join(os_package_root_path(__file__, 1), 'config',
                        'model_keras', 'Imagecnn.json')
Esempio n. 5
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    log("#### Save/Load   ###################################################")
    save_pars = {"path": out_pars['path']}
    save(model, session=session, save_pars=save_pars)
    model2, session2 = load(save_pars)

    log("#### Save/Load - Predict   #########################################")
    print(model2, session2)
    ypred = predict(model2, session2, data_pars, compute_pars, out_pars)



if __name__ == '__main__':
    VERBOSE = True
    test_path = os.getcwd() + "/mytest/"
    root_path = os_package_root_path()

    ### Local fixed params
    # test(pars_choice="test01")

    #### Local json file
    test(pars_choice="json", data_path= f"dataset/json/refactor/charcnn.json")


    # ####    test_module(model_uri="model_xxxx/yyyy.py", param_pars=None)
    # from mlmodels.models import test_module
    #
    # param_pars = {'choice': "json", 'config_mode': 'test', 'data_path': "model_keras/charcnn.json"}
    # test_module(model_uri=MODEL_URI, param_pars=param_pars)
    #
    # #### get of get_params
Esempio n. 6
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    print(metrics_val)

    log("#### Plot   ########################################################")

    log("#### Save/Load   ###################################################")
    # save(model, session, save_pars=out_pars)
    # model2 = load(out_pars)
    #     ypred = predict(model2, data_pars, compute_pars, out_pars)
    #     metrics_val = metrics(model2, ypred, data_pars, compute_pars, out_pars)
    # print(model2)


if __name__ == "__main__":
    VERBOSE = True
    test_path = os.getcwd() + "/mytest/"
    root_path = os_package_root_path(__file__, 0)

    ### Local fixed params
    # test(pars_choice="test01")

    ### Local json file
    # test(pars_choice="json", data_path=f"model_keras/namentity_crm_bilstm.json")

    ####    test_module(model_uri="model_xxxx/yyyy.py", param_pars=None)
    from mlmodels.models import test_module

    param_pars = {
        "choice": "json",
        "config_mode": "test",
        "data_path":
        f"dataset/json/refactor/namentity_crm_bilstm_dataloader.json",