@@ -414,6 +414,14 @@ def __init__(
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credential helper or local credential storage for authentication.
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hyperparameters (dict): A dictionary containing the hyperparameters to
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initialize this estimator with. (Default: None).
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+
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+ .. caution::
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+
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+ You must not include any security sensitive information, such as
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+ account access IDs, secrets, and tokens, in the dictionary for configuring
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+ hyperparameters. &SM; rejects the training job request and returns an
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+ exception error for detected credentials, if such user input is found.
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+
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container_log_level (int): The log level to use within the container
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(default: logging.INFO). Valid values are defined in the Python
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logging module.
@@ -2339,6 +2347,14 @@ def __init__(
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using the default AWS configuration chain.
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hyperparameters (dict): Dictionary containing the hyperparameters to
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initialize this estimator with.
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+
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+ .. caution::
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+
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+ You must not include any security sensitive information, such as
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+ account access IDs, secrets, and tokens, in the dictionary for configuring
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+ hyperparameters. &SM; rejects the training job request and returns an
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+ exception error for detected credentials, if such user input is found.
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+
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tags (list[dict]): List of tags for labeling a training job. For
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more, see
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https://docs.aws.amazon.com/sagemaker/latest/dg/API_Tag.html.
@@ -2793,6 +2809,14 @@ def __init__(
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SageMaker. For convenience, this accepts other types for keys
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and values, but ``str()`` will be called to convert them before
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training.
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+
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+ .. caution::
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+
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+ You must not include any security sensitive information, such as
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+ account access IDs, secrets, and tokens, in the dictionary for configuring
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+ hyperparameters. &SM; rejects the training job request and returns an
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+ exception error for detected credentials, if such user input is found.
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+
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container_log_level (int): Log level to use within the container
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(default: logging.INFO). Valid values are defined in the Python
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logging module.
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