プログラム下部のscp.SCPClient(ssh.get_transport(), sanitize=lambda x: x)のsanitize=lambda x: xは非常に重要である. 今回私は*.txtでファイルを回収しようと考えていたが,サニタイズをしなければ,*(アスタリスク)も通常の文字として判定されてしまう. ワイルドカードを使わない場合は必...
{:.3f} seconds\n\n'.format(name, duration)) for d in result: assert -1 <= d <= 1, " incorrect values" if __name__ == "__main__": print('Running benchmarks with COUNT = {}'.format(COUNT)) test(lambda d: [tanh(x) for x in d], '[tanh(x) for x in d] (Python ...
parser,namespace,values,option_string=None):args=getattr(namespace,self.dest)args=[]ifargsisNoneelseargsargs.append((key,values))setattr(namespace,self.dest,args)return_MultistateAppendActiondefmap_filters(strings,filters):strings=
apply(lambda x: x.cat.codes) df['intercept'] = 1.0 logit = sm.Logit(df['Career_Change'], df[['Age','Salary','Gender','intercept']]) result = logit.fit() #2つのDataFrameをインデックスでマージ:result.params(最初にSeriesをDataFrameに変換)とresult.conf_int() res_df = pd....
, arg_1) doc_1 = { 'FirstName': "Brent", 'GovId': 'TOYENC486FH', } qldb_driver.execute_lambda(lambda executor: insert_documents(executor, doc_1))次のコード例では、Ion データ型を挿入します。def insert_documents(transaction_executor, arg_1): # Check if doc with GovId:TOY...
# Get boundaries for the bounding box.defgetBounds(polyBounds):maxLon = max(map(lambdax: x[0], polyBounds)) minLon = min(map(lambdax: x[0], polyBounds)) maxLat = max(map(lambdax: x[1], polyBounds)) minLat = min(map(lambdax: x[1], polyBounds))# Buffer the bounding box ...
("reg_alpha",2.0,8.0),"reg_lambda": hp.uniform("reg_lambda",2.0,8.0),"learning_rate": hp.quniform("learning_rate",0.05,0.4,0.01),# "learning_rate": hp.loguniform("learning_rate", np.log(0.04), np.log(0.5)),#"min_data_in_leaf": hp.choice('min_data_in_leaf', np.arange(...
5,1),'subsample':1,'colsample_bytree':1,'colsample_bylevel':1,'colsample_bynode':1,'lambda': hp.uniform('lambda',0.0,1.0),'alpha': hp.uniform('alpha',0.0,1.0),'scale_pos_weight':1.0,'silent':1,'objective':'binary:logitraw','nthread':1,'eval_metric':'auc'}ifnotapply_weights...
if __name__ == '__main__': employees = [ Employee('John', 'IT', 28), Employee('Sam', 'Banking', 20), Employee('Joe', 'Finance', 25) ] #リストを`name`で自然な順序で並べ替える employees.sort(key=lambda x: x.name) # 出力: [{Joe, Finance, 25}, {John, IT, 28}, ...
("data_asset", query="asset.name:(MyF*)")# List all data assets which are larger than 1MBsizeFilter =lambdax: x['metadata']['size'] >1000000large_assets = wslib.assets.list_assets("data_asset", selector=sizeFilter, raw=True)# List all notebooksnotebooks = wslib.assets.list_assets...