Getting Started
Installation
pip install capo-machine-learning
Usage
from capo_machine_learning import AsyncMachineLearningClient
async def main():
async with AsyncMachineLearningClient() as machine_learning:
# Example: call the add_tags operation
response = await machine_learning.add_tags()
print(response["resource_id"])
Pagination
Some operations in this SDK support pagination. If the operation supports pagination it will have an iter_ prefixed method that returns an async iterator.
from capo_machine_learning import AsyncMachineLearningClient
async def main():
async with AsyncMachineLearningClient() as machine_learning:
# Example: paginate over describe_batch_predictions
async for item in machine_learning.iter_describe_batch_predictions():
print(item)
Error Handling
The SDK raises exceptions for errors returned by the API. Catch them to handle failures gracefully.
from capo_machine_learning import AsyncMachineLearningClient
from capo_machine_learning.error import InternalServerException
async def main():
async with AsyncMachineLearningClient() as machine_learning:
try:
await machine_learning.add_tags()
except InternalServerException as e:
print(f"Error: {e}")
print(e.data) # additional error data
Retrying
The SDK retries failed operations automatically. Retry behaviour follows the Smithy specification: errors are retried based on their is_retryable and is_throttling_error attributes. Throttling errors use a longer base delay. Network-level failures (connection errors and timeouts) are also retried. Non-retryable errors, such as client errors without the @retryable trait, are raised immediately without further attempts.
The number of attempts defaults to 3 and can be changed at the client level via retry_max_attempts, or per call via config_overrides.
from capo_machine_learning import AsyncMachineLearningClient
async def main():
async with AsyncMachineLearningClient() as machine_learning:
# Default: 3 attempts for every operation
response = await machine_learning.add_tags()
# Override per operation
response = await machine_learning.add_tags(config_overrides={"retry_max_attempts": 5})
# Disable retries for this call
response = await machine_learning.add_tags(config_overrides={"retry_max_attempts": 1})
Metadata
Release files for capo-machine-learning 0.3.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| capo_machine_learning-0.3.0.tar.gz | 122.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| capo_machine_learning-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 374.8 kB
Release files / capo_machine_learning-0.3.0.tar.gz
| Download URL | capo_machine_learning-0.3.0.tar.gz |
|---|---|
| Size | 122.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / capo_machine_learning-0.3.0-py3-none-any.whl
| Download URL | capo_machine_learning-0.3.0-py3-none-any.whl |
|---|---|
| Size | 252.0 kB |
| Tags | Python 3 |
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uv/0.12.22 {"installer":{"name":"uv","version":"0.12.22","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
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Security for capo-machine-learning 0.3.0
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