from collections.abc import Iterable params = [ 1234, '1234', [1, 2, 3, 4], set([1, 2, 3, 4]), {1: 1, 2: 2, 3: 3, 4: 4}, (1, 2, 3, 4) ] for param in params: print(f'{param}是否为可迭代对象? ', isinstance(param, Iterable)) 1. 2. 3. 4. 5. 6. 7. ...
set_params(self, \*\*params) -设置这个估计器的参数。 transform(self, X) 对具有最佳找到参数的估计器调用变换。 示例1 # 导入库 from sklearn import svm, datasets from sklearn.model_selection import GridSearchCV from sklearn.model_selection import train_test_split from sklearn import metrics # ...
set_variables() # 设置中间变量 set_backtest() # 设置回测条件 print '---' #1 #设置策略参数 def set_params(): print '设置策略参数' g.tc = 15 # 调仓天数 g.num_stocks = 10 # 每次调仓选取的最大股票数量 #2 #设置中间变量 def set_variables(): print '设置中间变量' g.t = 0 # 记...
self.url =Noneself.files = {}defset_url(self, url): self.url = host + urldefset_headers(self, header): self.headers = headerdefset_params(self, param): self.params = paramdefset_data(self, data): self.data = datadefset_files(self, file): self.files = file# defined http get ...
clf.get_params(deep=True)#返回priors与其参数值组成字典set_params(**params)#设置估计器priors参数fit(X,y,sample_weight=None)#训练样本,X表示特征向量,sample_weight表示权重clf.fit(X,y,np.array([0.05,0.05,0.1,0.1,0.1,0.2,0.2,0.2]))#设置样本不同的权重"""对于不平衡样本,类标记1在特征1均值及...
setThingProperties(params) 表1.请求参数 参数类型描述 paramsdict请求参数对象。需包含的必需参数,请参见下表params参数说明。 表2.params 参数说明 参数类型描述 productKeyString设备所属产品的ProductKey,创建产品时,物联网平台为该产品生成的唯一标识。
model.setParams(): Sets multiple parameters at once. :param params: dict mapping parameter names to their values. model.getNConss(): Retrieve the number of constraints. model.getNVars(): Retrieve number of variables in the problems model.getNVars(): Retrieve number of variables in the problem...
if len(set(params)) != len(params): raise TypeError( f"Parameters to {cls.__name__}[...] must all be unique") else: # Subscripting a regular Generic subclass. _check_generic(cls, params, len(cls.__parameters__)) return _GenericAlias(cls, params) ...
", Seq_params) cursor.execute("select * from test_timestamp") cursor.description cursor.fetchall() 例2,下面的例子说明了 TIMESTAMP WITH LOCAL TIME ZONE 类型数据的插入与查询。Copyimport dmPython conn = dmPython.connect('SYSDBA/Dmsys_123') cursor = conn.cursor() i = '2002-12-12 09:10...
"Input")param1.value="sinuosity"# Third parameterparam2=arcpy.Parameter(displayName="Output Features",name="out_features",datatype="GPFeatureLayer",parameterType="Derived",direction="Output")param2.parameterDependencies=[param0.name]param2.schema.clone=Trueparams=[param0,param1,param2]returnparams...