machine-learning-functions.md 1020 字节
Newer Older
I
Ivan Blinkov 已提交
1 2
---
toc_priority: 64
3
toc_title: Machine Learning
I
Ivan Blinkov 已提交
4 5 6 7
---

# Machine Learning Functions {#machine-learning-functions}

8
## evalMLMethod {#machine_learning_methods-evalmlmethod}
I
Ivan Blinkov 已提交
9 10 11

Prediction using fitted regression models uses `evalMLMethod` function. See link in `linearRegression`.

12
## stochasticLinearRegressionn {#stochastic-linear-regression}
I
Ivan Blinkov 已提交
13

14
The [stochasticLinearRegression](../../sql-reference/aggregate-functions/reference/stochasticlinearregression.md#agg_functions-stochasticlinearregression) aggregate function implements stochastic gradient descent method using linear model and MSE loss function. Uses `evalMLMethod` to predict on new data.
I
Ivan Blinkov 已提交
15

16
## stochasticLogisticRegression {#stochastic-logistic-regression}
I
Ivan Blinkov 已提交
17

18
The [stochasticLogisticRegression](../../sql-reference/aggregate-functions/reference/stochasticlogisticregression.md#agg_functions-stochasticlogisticregression) aggregate function implements stochastic gradient descent method for binary classification problem. Uses `evalMLMethod` to predict on new data.