human
I am working on the file "00_Miscellaneous/tfx/tfx-pipelines/02-census-tfx-pipeline.ipynb".
The first task is:
6.3. Create AccuracyModelValidator
Can you write Python code for it?
assistant
#Here is the Python code you requested.

from typing import Optional
from tfx import types
from tfx.components.base import base_component
from tfx.components.base import executor_spec

class AccuracyModelValidator(base_component.BaseComponent):

    SPEC_CLASS = AccuracyValidatorSpec
    EXECUTOR_SPEC = executor_spec.ExecutorClassSpec(AccuracyValidatorExecutor)
    
    def __init__(self,
                 eval_results: types.channel,
                 model: types.channel,
                 accuracy_threshold: float,
                 slice_accuracy_tolerance: float,
                 blessing: Optional[types.Channel] = None,
                 instance_name=None):
        
        blessing = blessing or types.Channel(
            type=standard_artifacts.ModelBlessing,
            artifacts=[standard_artifacts.ModelBlessing()])
        
        spec = AccuracyValidatorSpec(
            eval_results=eval_results, model=model, blessing=blessing, 
            accuracy_threshold=accuracy_threshold, slice_accuracy_tolerance=slice_accuracy_tolerance
        )
        
        super().__init__(spec=spec, instance_name=instance_name)
    

accuracy_model_validator = AccuracyModelValidator(
    eval_results=model_analyzer.outputs['output'],
    model=trainer.outputs['model'],
    accuracy_threshold=0.85,
    slice_accuracy_tolerance=0.15,
    instance_name="Accuracy_Model_Validator"
)

context.run(accuracy_model_validator)

blessing_uri = accuracy_model_validator.outputs.blessing.get()[0].uri
!ls -l {blessing_uri}