当你在Python代码中遇到错误 NameError: name 'mean_squared_error' is not defined 时,这通常意味着mean_squared_error这个函数在你的代码环境中没有被正确导入或者定义。以下是一些解决这个问题的步骤: 检查是否已导入mean_squared_error函数: mean_squared_error函数通常用于计算均方误差,是机器学习领域常用的一个损...
(loss='mean_squared_error', optimizer=Adam(lr=learning_rate)) model.fit(x_train, y_train, batch_size=128, epochs=3000, verbose=0, validation_data=(x_test, y_test), callbacks=[EarlyStopping(patience=200)]) score = model.evaluate(x_test, y_test, verbose=0) return {'loss': score,...
Finally, we train the model on the training data using thefit()method and evaluate its performance on the testing data using thetransform()method and thestat.rootMeanSquaredError() method.\n\nNote that this is just a simple example to illustrate how to use PySpark MLlib for parallel trainin...
Displayed below is my root mean squared error computation function. Unfortunately, the last line cannot be compiled due to an error (Type mismatch issue (expected: Double, actual: Unit)). Despite my numerous attempts to rectify this issue, I have been unsuccessful. Do you happen to have any ...
mcc is used with matched case – control data. It calculates McNemar's chi-squared; point estimates and confidence intervals for the difference, ratio, and relative difference of the proportion with the factor; and the odds ratio and its confidence interval. mcci is the immediate form of mcc;...
This is the default. 4 xtunitroot — Panel-data unit-root tests demean requests that xtunitroot first subtract the cross-sectional averages from the series. When specified, for each time period xtunitroot computes the mean of the series across panels and subtracts this mean from the series. ...
0,error:function(a){throw new Error(a)},noop:function(){},isFunction:function(a){return"function"===r.type(a)},isWindow:function(a){return null!=a&&a===a.window},isNumeric:function(a){var b=r.type(a);return("number"===b||"string"===b)&&!isNaN(a-parseFloat(a))},...
(varname) use varname as the initial estimate for the mean of depvar init(varname) synonym for mu(varname) SE/Robust vce(vcetype) vfactor(#) disp(#) scale(x2 | dev | #) vcetype may be oim, robust, cluster clustvar, eim, opg, bootstrap, jackknife, hac kernel, jackknife1, or...