Source code for simpleml.utils.errors

"""
Error classes
"""

__author__ = "Elisha Yadgaran"


class SimpleMLError(Exception):
    def __str__(self):
        if hasattr(self, "message"):
            return self.message
        return self.args[0]


class DatasetError(SimpleMLError):
    def __init__(self, *args, **kwargs):
        super(DatasetError, self).__init__(*args, **kwargs)
        custom_prefix = "SimpleML Dataset Error: "
        self.message = custom_prefix + self.args[0]


class PipelineError(SimpleMLError):
    def __init__(self, *args, **kwargs):
        super(PipelineError, self).__init__(*args, **kwargs)
        custom_prefix = "SimpleML Pipeline Error: "
        self.message = custom_prefix + self.args[0]


class ModelError(SimpleMLError):
    def __init__(self, *args, **kwargs):
        super(ModelError, self).__init__(*args, **kwargs)
        custom_prefix = "SimpleML Model Error: "
        self.message = custom_prefix + self.args[0]


class MetricError(SimpleMLError):
    def __init__(self, *args, **kwargs):
        super(MetricError, self).__init__(*args, **kwargs)
        custom_prefix = "SimpleML Metric Error: "
        self.message = custom_prefix + self.args[0]


class TrainingError(SimpleMLError):
    def __init__(self, *args, **kwargs):
        super(TrainingError, self).__init__(*args, **kwargs)
        custom_prefix = "SimpleML Training Error: "
        self.message = custom_prefix + self.args[0]


class ScoringError(SimpleMLError):
    def __init__(self, *args, **kwargs):
        super(ScoringError, self).__init__(*args, **kwargs)
        custom_prefix = "SimpleML Scoring Error: "
        self.message = custom_prefix + self.args[0]