随机逻辑回归

此函数实现随机逻辑回归。它可用于二元分类问题，支持与随机线性回归相同的自定义参数，并以相同的方式工作。

参数

参数与随机线性回归完全相同：学习率、L2 正则化系数、小批量大小、更新权重的​​方法。有关更多信息，请参阅参数。

stochasticLogisticRegression(1.0, 1.0, 10, 'SGD')

1. 拟合

See the `Fitting` section in the [stochasticLinearRegression](#stochasticlinearregression-usage-fitting) description.

Predicted labels have to be in \[-1, 1\].

2. 预测

Using saved state we can predict probability of object having label `1`.

``` sql
WITH (SELECT state FROM your_model) AS model SELECT
evalMLMethod(model, param1, param2) FROM test_data
```

The query will return a column of probabilities. Note that first argument of `evalMLMethod` is `AggregateFunctionState` object, next are columns of features.

We can also set a bound of probability, which assigns elements to different labels.

``` sql
SELECT ans < 1.1 AND ans > 0.5 FROM
(WITH (SELECT state FROM your_model) AS model SELECT
evalMLMethod(model, param1, param2) AS ans FROM test_data)
```

Then the result will be labels.

`test_data` is a table like `train_data` but may not contain target value.

另请参阅

• 随机线性回归
• 线性回归和逻辑回归的区别。