python_lambda_mapper¶
Mapper for applying a Python lambda function to data samples.
This operator allows users to define a custom transformation using a Python lambda function. The lambda function is applied to each sample, and the result must be a dictionary. If the batched parameter is set to True, the lambda function will process a batch of samples at once. If no lambda function is provided, the identity function is used, which returns the input sample unchanged. The operator validates the lambda function to ensure it has exactly one argument and compiles it safely.
应用Python lambda函数到数据样本的映射器。
该算子允许用户使用Python lambda函数定义自定义转换。lambda函数应用于每个样本，结果必须是字典。如果batched参数设置为True，lambda函数将一次处理一批样本。如果没有提供lambda函数，则使用恒等函数，返回不变的输入样本。算子验证lambda函数以确保它恰好有一个参数，并安全地编译它。
Type 算子类型: mapper
Tags 标签: cpu
🔧 Parameter Configuration 参数配置¶
name 参数名 |
type 类型 |
default 默认值 |
desc 说明 |
|---|---|---|---|
|
<class ‘str’> |
|
A string representation of the lambda function to be executed on data samples. If empty, the identity function is used. |
|
<class ‘bool’> |
|
A boolean indicating whether to process input data in batches. |
|
|
Additional keyword arguments passed to the parent class. |
📊 Effect demonstration 效果演示¶
not available 暂无