def __init__(self, km, fh):
self.utils_cl = MyUtils()
self.km = km
self.fh = fh
self.cm = ClusteringMachine()
logging.info("Wrappers instantiated")
def __init__(self):
logging.info(pk.getKhiopsInfo())
self.this_file_dir = os.path.dirname(os.path.realpath(__file__))
# path mgmt
# use timestamp of each exec in paths
self.fh = FileHelper()
self.dictionary_file = os.path.join(self.this_file_dir, "dic",
"series.kdic")
self.classif_res = os.path.join(self.this_file_dir, "res",
"khiops_res", "classif")
self.coclus_res = os.path.join(self.this_file_dir, "res", "khiops_res",
"coclus")
self.pred_res = os.path.join(self.this_file_dir, "res", "khiops_res",
"pred_res")
self.fh.ensure_dirs_exist([
self.dictionary_file, self.classif_res, self.coclus_res,
self.pred_res
])
self.ccr = CoclusteringResults()
self.utils = MyUtils()
logging.info("Khiops manager instantiated")
logging.info("dictionary_file used: %s", self.dictionary_file)
def __init__(self, file_name):
self.utils_cl = MyUtils()
self.this_file_dir = os.path.dirname(os.path.realpath(__file__))
self.fh = FileHelper()
self.hm = HmmMachine()
self.cm = ClusteringMachine()
self.pm = PredictMachine()
self.my_metric = "euclidean"
self.file_name = file_name
self.out_fcasts_f = os.path.join(self.this_file_dir, "res", "fcasts", file_name, "ecml")
self.fh.ensure_dirs_exist([self.out_fcasts_f])
logging.info("Instantiated ECML_operator")
}, requests.codes.bad, "error"),
({
"email": "peter@klaven"
}, requests.codes.bad, "error"),
({
"email": "1",
"password": "******"
}, requests.codes.not_found, "error"),
({}, requests.codes.bad, "error"),
]
ids_list = [
"successful", "w/o email", "w/o password", "invalid email/password",
"w/o parameters"
]
u = MyUtils()
@pytest.fixture(scope='function', params=param_list, ids=ids_list)
def param_test(request):
return request.param
class TestClass():
login_request = "api/login"
email = "peter@klaven"
password = "******"
@allure.feature("Login")
@allure.testcase("Login")
# Bunch of cleanings for empty files
from file_helper import FileHelper
fh = FileHelper(tstmp)
fh.clean_zips_folder()
fh.clean_res_folder(out_dir_res)
fh.ensure_dirs_exist([out_path_res, in_dir, out_dir_res, out_dir_khiops, out_dir_fcasts])
# After cleaning, zip the code which is executed now
fh.zip_code()
# Init objects
from khiops import KhiopsManager
km = KhiopsManager()
from my_utils import MyUtils
utils = MyUtils()
from ecml_machine import ECMLMachine
from clustering_machine import ClusteringMachine
cm = ClusteringMachine()
from wrappers import Wrappers
wrapper = Wrappers(km, fh)
# Read configuration file: which input data to use?
import json
with open(os.path.join(this_file_dir, "conf", "conf_lite.json"), 'r') as f:
confs = json.load(f)
# Init res files
# one-hotエンコード用
OHE_COLUMNS = ['sales', 'salary']
# 評価指標を選択
# metrics
# accuracy, precision, recall, f1, auc
metrics = 'accuracy'
# metrics = 'precision'
# metrics = 'recall'
# metrics = 'f1'
# metrics = 'auc'
selector_method = 'RFE'
# selector_method = 'PCA'
myutils = MyUtils('./param_clf.yml', OBJ_TYPE, metrics)
print(myutils.get_str_timestamp())
# mode = 'train'
mode = 'score'
if mode == 'train':
# データ読み込み
_, X, y = myutils.read_data(TRAIN_PATH)
# 前処理
X = myutils.train_data__preprocessing_with_imputer(X, OHE_COLUMNS)
# 初回探索
def __init__(self):
self.utils_cl = MyUtils()
logging.info("HMM machine instantiated")