# -*- coding: utf-8 -*-
"""
Created on Tue Aug 21 12:00:25 2018
@author: Franc
"""
import numpy as np
from steppy.base import BaseTransformer
from steppy.utils import get_logger
logger = get_logger()
class CreditFeature(BaseTransformer):
"""cat_feature, num_feature待补充"""
def __init__(self, **kwargs):
self.data = None
self.cat_feature = []
self.num_feature = []
self.na_value = np.nan
self.na_fill = 0
def transform(self, df):
df = df.sort_values(['SK_ID_CURR', 'SK_ID_PREV', 'MONTHS_BALANCE'])
df.loc[df['AMT_DRAWINGS_ATM_CURRENT'] < 0,
'AMT_DRAWINGS_ATM_CURRENT'] = np.nan
df.loc[df['AMT_DRAWINGS_CURRENT'] < 0, 'AMT_DRAWINGS_CURRENT'] = np.nan
# cat_feature
df['NAME_CONTRACT_IS_COMPLETED'] = \
import gc
import numpy as np
from deepsense import neptune
from sklearn.externals import joblib
from steppy.base import BaseTransformer
from steppy.utils import get_logger
from .utils import set_seed
logger = get_logger()
class RandomSearchOptimizer(BaseTransformer):
def __init__(self,
TransformerClass,
params,
score_func,
maximize,
train_input_keys,
valid_input_keys,
n_runs,
callbacks=None):
super().__init__()
self.TransformerClass = TransformerClass
self.param_space = create_param_space(params, n_runs)
# keys 标记的是传入数据键值对的键值
self.train_input_keys = train_input_keys
self.valid_input_keys = valid_input_keys